Ronald M. Summers

478 papers A* 7A 3B 26Misc 2Journal 208Unranked 220

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography. CoRR Qingqing Zhu, Qiao Jin, Tejas Sudharshan Mathai, Yin Fang, Zhizheng Wang, Yifan Yang, Maame Sarfo-Gyamfi, Benjamin Hou, Ran Gu, Praveen Thoppey Srinivasan Balamuralikrishna, Kenneth C. Wang, Ronald M. Summers, Zhiyong Lu
2025	J	`jnl`	3D Universal Lesion Detection and Tagging in CT with Self-Training. CoRR Jared Frazier, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers
2025	J	`jnl`	A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT. CoRR Dazhou Guo, Zhanghexuan Ji, Yanzhou Su, Dandan Zheng, Heng Guo, Puyang Wang, Ke Yan, Yirui Wang, Qinji Yu, Zi Li, Minfeng Xu, Jianfeng Zhang, Haoshen Li, Jia Ge, Tsung-Ying Ho, Bing-shen Huang, Tashan Ai, Kuaile Zhao, Na Shen, Qifeng Wang, Yun Bian, Tingyu Wu, Peng Du, Hua Zhang, Feng-Ming (Spring) Kong, Alan L. Yuille, Cher Heng Tan, Chunyan Miao, Perry J. Pickhardt, Senxiang Yan, Ronald M. Summers, Le Lu, Dakai Jin, Xianghua Ye
2025	J	`jnl`	A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images With Multi-Relationship Graph Learning. IEEE Trans. Medical Imaging Mengliang ZHang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Yan Yan, Ronald M. Summers, Yingying Zhu
2025	J	`jnl`	A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT. CoRR Tanjin Taher Toma, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Wesley Jong, Darwish Alabyad, Vivek Batheja, Abhishek Jha, Mayank Patel, Darko Pucar, Jayadira del Rivero, Karel Pacak, Ronald M. Summers
2025	J	`jnl`	A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST). Comput. Medical Imaging Graph. Jianfei Liu, Sayantan Bhadra, Omid Shafaat, Pritam Mukherjee, Christopher Parnell, Ronald M. Summers
2025	—	`conf`	An Automated Whole Torso Aortic and Iliac Artery Atherosclerotic Burden Assessment on Body CT. ISBI Jianfei Liu, Vivek Batheja, Pritam Mukherjee, Perry J. Pickhardt, Peter C. Grayson, Ronald M. Summers
2025	—	`conf`	Benchmarking MRISegmenter++ for Splenomegaly: A Comprehensive Comparative Study. AMAI@MICCAI Jianfei Liu, Langston Locke, Pritam Mukherjee, Tejas Sudharshan Mathai, Yan Zhuang, Brandon Khoury, Lauren Eckhardt, Christina T. Kozycki, Ronald M. Summers
2025	J	`jnl`	Benchmarking Multi-Organ Segmentation Tools for Multi-Parametric T1-weighted Abdominal MRI. CoRR Nicole Tran, Anisa Prasad, Yan Zhuang, Tejas Sudharshan Mathai, Boah Kim, Sydney Lewis, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers
2025	J	`jnl`	CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. CoRR Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuowei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng
2025	J	`jnl`	CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. Medical Image Anal. Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuwei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Pingkun Yan, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng
2025	J	`jnl`	Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT. CoRR Peter D. Erickson, Tejas Sudharshan Mathai, Ronald M. Summers
2025	J	`jnl`	Classification of Multi-Parametric Body MRI Series Using Deep Learning. CoRR Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Peter A. Pinto, Ronald M. Summers
2025	J	`jnl`	Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and Tagging. CoRR Alexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers
2025	J	`jnl`	Efficient 2D CT Foundation Model for Contrast Phase Classification. CoRR Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xinya Wang, Ronald M. Summers, Zhiyong Lu
2025	J	`jnl`	Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification. Medical Image Anal. Ricardo Bigolin Lanfredi, Pritam Mukherjee, Ronald M. Summers
2025	J	`jnl`	How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses. J. Biomed. Informatics Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen, Zhizheng Wang, Ruida Cheng, Ronald M. Summers, Zhiyong Lu
2025	J	`jnl`	Improved muscle and fat segmentation for body composition measures on quantitative CT. Int. J. Comput. Assist. Radiol. Surg. Jianfei Liu, Praveen Thoppey Srinivasan Balamuralikrishna, Sovira Tan, Pritam Mukherjee, Tejas Sudharshan Mathai, Perry J. Pickhardt, Ronald M. Summers
2025	—	`conf`	LEAVS: An LLM-Based Labeler for Abdominal CT Supervision. MICCAI (5) Ricardo Bigolin Lanfredi, Yan Zhuang, Mark Finkelstein, Praveen Thoppey Srinivasan Balamuralikrishna, Luke Krembs, Brandon Khoury, Arthi Reddy, Pritam Mukherjee, Neil M. Rofsky, Ronald M. Summers
2025	J	`jnl`	LEAVS: An LLM-based Labeler for Abdominal CT Supervision. CoRR Ricardo Bigolin Lanfredi, Yan Zhuang, Mark Finkelstein, Praveen Thoppey Srinivasan Balamuralikrishna, Luke Krembs, Brandon Khoury, Arthi Reddy, Pritam Mukherjee, Neil M. Rofsky, Ronald M. Summers
2025	J	`jnl`	Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT. CoRR Anisa Prasad, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers
2025	—	`conf`	Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation. ISBI Xinya Wang, Tejas Sudharshan Mathai, Boah Kim, Ronald M. Summers
2025	J	`jnl`	Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation. CoRR Xinya Wang, Tejas Sudharshan Mathai, Boah Kim, Ronald M. Summers
2025	J	`jnl`	Longitudinal Assessment of Lung Lesion Burden in CT. CoRR Tejas Sudharshan Mathai, Benjamin Hou, Ronald M. Summers
2025	J	`jnl`	OTMorph: Unsupervised Multi-Domain Abdominal Medical Image Registration Using Neural Optimal Transport. IEEE Trans. Medical Imaging Boah Kim, Yan Zhuang, Tejas Sudharshan Mathai, Ronald M. Summers
2025	J	`jnl`	Size-Controllable Tumor Synthesis for Improved Detection of Small Bowel Carcinoid Tumors in CT Scans. IEEE Access Seung Yeon Shin, Stephen A. Wank, Ronald M. Summers
2025	J	`jnl`	Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotation. Int. J. Comput. Assist. Radiol. Surg. Sayantan Bhadra, Jianfei Liu, Ronald M. Summers
2025	—	`conf`	Synthesis of Abdominal Contrast-Enhanced CT Using Diffusion-Based Spatial Transform Control. MLMI@MICCAI Xinya Wang, Tejas Sudharshan Mathai, Praveen Thoppey Srinivasan Balamuralikrishna, Vivek Batheja, Ronald M. Summers
2025	J	`jnl`	Text Embedded Swin-UMamba for DeepLesion Segmentation. CoRR Ruida Cheng, Tejas Sudharshan Mathai, Pritam Mukherjee, Benjamin Hou, Qingqing Zhu, Zhiyong Lu, Matthew J. McAuliffe, Ronald M. Summers
2025	J	`jnl`	Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation. CoRR Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers
2025	—	`conf`	Utility of Hepatic Perivascular Adipose Tissue as a CT Biomarker for Staging Liver Fibrosis. ISBI Skylar Chan, Tejas Sudharshan Mathai, Sydney V. Lewis, Anisa V. Prasad, Jianfei Liu, Meghan G. Lubner, Perry J. Pickhardt, Ronald M. Summers
2025	J	`jnl`	Utility of Pancreas Surface Lobularity as a CT Biomarker for Opportunistic Screening of Type 2 Diabetes. CoRR Tejas Sudharshan Mathai, Anisa V. Prasad, Xinya Wang, Praveen Thoppey Srinivasan Balamuralikrishna, Yan Zhuang, Abhinav Suri, Jianfei Liu, Perry J. Pickhardt, Ronald M. Summers
2025	J	`jnl`	Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans. Comput. Medical Imaging Graph. Liangchen Liu, Jianfei Liu, Bikash Santra, Christopher Parnell, Pritam Mukherjee, Tejas Sudharshan Mathai, Yingying Zhu, Akshaya Anand, Ronald M. Summers
2024	—	`conf`	AI Fairness in Medical Imaging: Controlling for Disease Severity. FAIMI/EPIMI@MICCAI Pritam Mukherjee, Ronald M. Summers
2024	J	`jnl`	Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks. CoRR Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers
2024	—	`conf`	Automated Classification of Multi-Parametric Body MRI Series. ISBI Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers
2024	—	`conf`	Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in Ct Angiography. ISBI Andrew M. Nguyen, Tejas Sudharshan Mathai, Liangchen Liu, Jianfei Liu, Ronald M. Summers
2024	J	`jnl`	Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study. CoRR Andrew M. Nguyen, Jianfei Liu, Tejas Sudharshan Mathai, Peter C. Grayson, Ronald M. Summers
2024	J	`jnl`	Automated classification of multi-parametric body MRI series. CoRR Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers
2024	J	`jnl`	C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. Medical Image Anal. Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
2024	J	`jnl`	Classification of Multi-Parametric Body MRI Series Using Deep Learning. IEEE J. Biomed. Health Informatics Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Peter A. Pinto, Ronald M. Summers
2024	J	`jnl`	Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4. CoRR Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen, Zhizheng Wang, Ruida Cheng, Ronald M. Summers, Zhiyong Lu
2024	J	`jnl`	Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification. CoRR Benjamin Hou, Sung-Won Lee, Jung-Min Lee, Christopher Koh, Jing Xiao, Perry J. Pickhardt, Ronald M. Summers
2024	J	`jnl`	Demystifying Large Language Models for Medicine: A Primer. CoRR Qiao Jin, Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang, Zifeng Wang, Guangzhi Xiong, Po-Ting Lai, Qingqing Zhu, Benjamin Hou, Maame Sarfo-Gyamfi, Gongbo Zhang, Aidan Gilson, Balu Bhasuran, Zhe He, Aidong Zhang, Jimeng Sun, Chunhua Weng, Ronald M. Summers, Qingyu Chen, Yifan Peng, Zhiyong Lu
2024	J	`jnl`	Detection of abdominopelvic lymph nodes in multi-parametric MRI. Comput. Medical Imaging Graph. Tejas Sudharshan Mathai, Thomas C. Shen, Daniel C. Elton, Sungwon Lee, Zhiyong Lu, Ronald M. Summers
2024	J	`jnl`	Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study. CoRR Benjamin Hou, Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers
2024	J	`jnl`	Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study. Int. J. Comput. Assist. Radiol. Surg. Benjamin Hou, Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers
2024	J	`jnl`	Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification. CoRR Ricardo Bigolin Lanfredi, Pritam Mukherjee, Ronald M. Summers
2024	J	`jnl`	Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine. CoRR Qiao Jin, Fangyuan Chen, Yiliang Zhou, Ziyang Xu, Justin M. Cheung, Robert Chen, Ronald M. Summers, Justin F. Rousseau, Peiyun Ni, Marc J. Landsman, Sally L. Baxter, Subhi J. Al'Aref, Yijia Li, Michael F. Chiang, Yifan Peng, Zhiyong Lu
2024	J	`jnl`	Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. npj Digit. Medicine Qiao Jin, Fangyuan Chen, Yiliang Zhou, Ziyang Xu, Justin M. Cheung, Robert Chen, Ronald M. Summers, Justin F. Rousseau, Peiyun Ni, Marc J. Landsman, Sally L. Baxter, Subhi J. Al'Aref, Yijia Li, Alexander Chen, Josef A. Brejt, Michael F. Chiang, Yifan Peng, Zhiyong Lu
2024	J	`jnl`	Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior. Int. J. Comput. Assist. Radiol. Surg. Jianfei Liu, Omid Shafaat, Sayantan Bhadra, Christopher Parnell, Ayden Harris, Ronald M. Summers
2024	J	`jnl`	Interpretable medical image Visual Question Answering via multi-modal relationship graph learning. Medical Image Anal. Xinyue Hu, Lin Gu, Kazuma Kobayashi, Liangchen Liu, Mengliang ZHang, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2024	—	`conf`	Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports. ICHI Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu
2024	J	`jnl`	Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports. CoRR Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu
2024	J	`jnl`	MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI. CoRR Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers
2024	J	`jnl`	Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors. CoRR Tejas Sudharshan Mathai, Bohan Liu, Ronald M. Summers
2024	J	`jnl`	Segmentation of mediastinal lymph nodes in CT with anatomical priors. Int. J. Comput. Assist. Radiol. Surg. Tejas Sudharshan Mathai, Bohan Liu, Ronald M. Summers
2024	J	`jnl`	Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis. Comput. Medical Imaging Graph. Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Ronald M. Summers
2024	J	`jnl`	Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation. CoRR Jianfei Liu, Christopher Parnell, Ronald M. Summers
2024	J	`jnl`	Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification. CoRR Benjamin Hou, Qingqing Zhu, Tejas Sudharshan Mathai, Qiao Jin, Zhiyong Lu, Ronald M. Summers
2024	J	`jnl`	Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
2024	J	`jnl`	Universal detection and segmentation of lymph nodes in multi-parametric MRI. Int. J. Comput. Assist. Radiol. Surg. Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Daniel C. Elton, Zhiyong Lu, Ronald M. Summers
2024	J	`jnl`	Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT. CoRR David C. Oluigboa, Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers
2024	J	`jnl`	Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data. Comput. Medical Imaging Graph. David Oluigbo, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers
2024	J	`jnl`	Weakly-Supervised Detection of Bone Lesions in CT. CoRR Tao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, Ronald M. Summers
2023	—	`conf`	3D universal lesion detection and tagging in CT with self-training. Computer-Aided Diagnosis Jared Frazier, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers
2023	—	`conf`	A Dual-Branch Network with Mixed and Self-Supervision for Medical Image Segmentation: An Application to Segment Edematous Adipose Tissue. MILLanD@MICCAI Jianfei Liu, Omid Shafaat, Ronald M. Summers
2023	—	`conf`	Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images. AMAI@MICCAI Bikash Santra, Abhishek Jha, Pritam Mukherjee, Mayank Patel, Karel Pacak, Ronald M. Summers
2023	J	`jnl`	Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in CT Angiography. CoRR Andrew M. Nguyen, Tejas Sudharshan Mathai, Liangchen Liu, Jianfei Liu, Ronald M. Summers
2023	—	`conf`	Automated classification of intravenous contrast enhancement phase of CT scans using residual networks. Computer-Aided Diagnosis Akshaya Anand, Jianfei Liu, Thomas C. Shen, W. Marston Linehan, Peter A. Pinto, Ronald M. Summers
2023	J	`jnl`	C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. CoRR Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
2023	—	`conf`	Correcting class imbalances with self-training for improved universal lesion detection and tagging. Computer-Aided Diagnosis Alexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers
2023	A*	`conf`	Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. KDD Xinyue Hu, Lin Gu, Qiyuan An, Mengliang ZHang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2023	J	`jnl`	Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. CoRR Xinyue Hu, Lin Gu, Qiyuan An, Mengliang ZHang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2023	J	`jnl`	Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. CoRR Mengliang ZHang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2023	J	`jnl`	How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? CoRR Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang
2023	—	`conf`	How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? MICCAI (5) Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang
2023	—	`conf`	Improved ascites segmentation with bladder identification using anatomical location residual U-Net. Computer-Aided Diagnosis Manas Kumar Nag, Jianfei Liu, Seung Yeon Shin, Benjamin Hou, Liangchen Liu, Perry J. Pickhardt, Jung-Min Lee, Ronald M. Summers
2023	—	`conf`	Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors. ISBI Liangchen Liu, Benjamin Hou, Manas Kumar Nag, Jianfei Liu, Navid Hasani, Thomas C. Shen, Yingying Zhu, Babak Saboury, Jing Xiao, Ronald M. Summers
2023	J	`jnl`	Improving Segmentation and Detection of Lesions in CT Scans Using Intensity Distribution Supervision. CoRR Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers
2023	J	`jnl`	Improving segmentation and detection of lesions in CT scans using intensity distribution supervision. Comput. Medical Imaging Graph. Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers
2023	—	`conf`	Improving small lesion segmentation in CT scans using intensity distribution supervision: application to small bowel carcinoid tumor. Computer-Aided Diagnosis Seung Yeon Shin, Thomas C. Shen, Stephen A. Wank, Ronald M. Summers
2023	J	`jnl`	RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister
2023	B	`conf`	Radiology data warehouses: data preparation and dissemination (Conference Presentation). Image Processing Ronald M. Summers
2023	—	`conf`	Semantic Image Synthesis for Abdominal CT. DGM4MICCAI Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
2023	J	`jnl`	Semantic Image Synthesis for Abdominal CT. CoRR Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
2023	J	`jnl`	Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
2023	J	`jnl`	Universal lymph node detection in T2 MRI using neural networks. Int. J. Comput. Assist. Radiol. Surg. Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers
2023	—	`conf`	Universal lymph node detection in multiparametric MRI with selective augmentation. Computer-Aided Diagnosis Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers
2023	J	`jnl`	Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports. CoRR Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu
2023	—	`conf`	Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports. MICCAI (5) Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu
2022	—	`conf`	A graph-theoretic algorithm for small bowel path tracking in CT scans. Computer-Aided Diagnosis Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
2022	—	`conf`	Automated Assessment of Renal Calculi in Serial Computed Tomography Scans. AMAI@MICCAI Pritam Mukherjee, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
2022	—	`conf`	Cardiovascular disease and all-cause mortality risk prediction from abdominal CT using deep learning. Computer-Aided Diagnosis Daniel C. Elton, Andy Chen, Perry J. Pickhardt, Ronald M. Summers
2022	—	`conf`	Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT. MILLanD@MICCAI Peter D. Erickson, Tejas Sudharshan Mathai, Ronald M. Summers
2022	—	`conf`	Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations. MICCAI (5) Seung Yeon Shin, Ronald M. Summers
2022	J	`jnl`	Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations. CoRR Seung Yeon Shin, Ronald M. Summers
2022	J	`jnl`	Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images. Medical Image Anal. Shuai Wang, Yingying Zhu, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Youbao Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2022	—	`conf`	Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. ISBI Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
2022	J	`jnl`	Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. CoRR Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
2022	—	`conf`	Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. MMMI@MICCAI Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu, Babak Saboury, Jing Xiao, Lingyun Huang, Ronald M. Summers
2022	J	`jnl`	Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor. CoRR Seung Yeon Shin, Thomas C. Shen, Stephen A. Wank, Ronald M. Summers
2022	—	`conf`	Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. DALI@MICCAI Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang
2022	J	`jnl`	Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. CoRR Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang
2022	—	`conf`	Lymph node detection in T2 MRI with transformers. Computer-Aided Diagnosis Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2022	J	`jnl`	Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
2022	J	`jnl`	Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognit. Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan D. Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, Zhiyong Lu
2022	—	`conf`	Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training. MILLanD@MICCAI Varun Naga, Tejas Sudharshan Mathai, Angshuman Paul, Ronald M. Summers
2022	J	`jnl`	Universal Lymph Node Detection in T2 MRI using Neural Networks. CoRR Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers
2022	—	`conf`	Universal lesion detection in CT scans using neural network ensembles. Computer-Aided Diagnosis Tarun Mattikalli, Tejas Sudharshan Mathai, Ronald M. Summers
2021	J	`jnl`	A Graph-theoretic Algorithm for Small Bowel Path Tracking in CT Scans. CoRR Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
2021	J	`jnl`	A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proc. IEEE S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2021	J	`jnl`	A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis. Medical Image Anal. Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers
2021	J	`jnl`	COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. IEEE Trans. Big Data Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
2021	J	`jnl`	Common Limitations of Image Processing Metrics: A Picture Story. CoRR Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein
2021	—	`conf`	Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles. MLMI@MICCAI Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2021	J	`jnl`	Discriminative ensemble learning for few-shot chest x-ray diagnosis. Medical Image Anal. Angshuman Paul, Yuxing Tang, Thomas C. Shen, Ronald M. Summers
2021	J	`jnl`	Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training. IEEE Trans. Medical Imaging Angshuman Paul, Thomas C. Shen, Sungwon Lee, Niranjan Balachandar, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2021	—	`conf`	Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning. MIDL Tianshu Chu, Xinmeng Li, Huy V. Vo, Ronald M. Summers, Elena Sizikova
2021	—	`conf`	Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature. ISBI Angshuman Paul, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2021	—	`conf`	Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI. MLMI@MICCAI Yingying Zhu, Shuai Wang, Qingyu Chen, Sungwon Lee, Thomas C. Shen, Daniel C. Elton, Zhiyong Lu, Ronald M. Summers
2021	J	`jnl`	Lymph Node Detection in T2 MRI with Transformers. CoRR Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2021	—	`conf`	RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. MICCAI (7) Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz
2021	J	`jnl`	RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. CoRR Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz
2021	J	`jnl`	The Medical Segmentation Decathlon. CoRR Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso
2021	J	`jnl`	Universal Lesion Detection in CT Scans using NeuralNetwork Ensembles. CoRR Tarun Mattikalli, Tejas Sudharshan Mathai, Ronald M. Summers
2021	—	`conf`	Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation. MICCAI (3) Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
2020	J	`jnl`	A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. CoRR S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2020	—	`conf`	Accurately identifying vertebral levels in large datasets. Computer-Aided Diagnosis Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers
2020	J	`jnl`	Accurately identifying vertebral levels in large datasets. CoRR Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers
2020	J	`jnl`	Automated abnormality classification of chest radiographs using deep convolutional neural networks. npj Digit. Medicine Yuxing Tang, Youbao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette A. Redd, Catherine J. Brandon, Zhiyong Lu, Mei Han, Jing Xiao, Ronald M. Summers
2020	—	`conf`	Automatic recognition of abdominal lymph nodes from clinical text. ClinicalNLP@EMNLP Yifan Peng, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yuxing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
2020	J	`jnl`	Bone Suppression on Chest Radiographs With Adversarial Learning. CoRR Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers
2020	—	`conf`	Bone suppression on chest radiographs with adversarial learning. Computer-Aided Diagnosis Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers
2020	—	`conf`	COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI Angshuman Paul, Thomas C. Shen, Niranjan Balachandar, Yuxing Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2020	J	`jnl`	COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature. CoRR Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
2020	J	`jnl`	Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model. CoRR Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
2020	—	`conf`	Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model. MICCAI (2) Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
2020	J	`jnl`	Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction. CoRR Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert
2020	—	`conf`	Deep Small Bowel Segmentation with Cylindrical Topological Constraints. MICCAI (4) Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers
2020	J	`jnl`	Deep Small Bowel Segmentation with Cylindrical Topological Constraints. CoRR Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers
2020	—	`conf`	E MICCAI (4) Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers
2020	J	`jnl`	E CoRR Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers
2020	—	`conf`	Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble. Computer-Aided Diagnosis Angshuman Paul, Yuxing Tang, Ronald M. Summers
2020	J	`jnl`	Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection. CoRR Yingying Zhu, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
2020	—	`conf`	Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. MICCAI (7) Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker
2020	J	`jnl`	Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks. CoRR Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Benjamin M. Glocker
2020	—	`conf`	Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation. Computer-Aided Diagnosis Sai Aditya Sriram, Angshuman Paul, Yingying Zhu, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers
2020	—	`conf`	One Click Lesion RECIST Measurement and Segmentation on CT Scans. MICCAI (4) Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers
2020	J	`jnl`	One Click Lesion RECIST Measurement and Segmentation on CT Scans. CoRR Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers
2020	J	`jnl`	Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. IEEE Trans. Medical Imaging Ling Zhang, Le Lu, Xiaosong Wang, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao
2020	J	`jnl`	The Future of Digital Health with Federated Learning. CoRR Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
2020	J	`jnl`	The future of digital health with federated learning. npj Digit. Medicine Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
2020	—	`conf`	Weakly Supervised Lesion Co-Segmentation on Ct Scans. ISBI Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers
2020	J	`jnl`	Weakly Supervised Lesion Co-segmentation on CT Scans. CoRR Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers
2020	J	`jnl`	Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation. CoRR Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers
2020	—	`conf`	Weakly-supervised lesion segmentation on CT scans using co-segmentation. Computer-Aided Diagnosis Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers
2019	—	`conf`	A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection. ISBI Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Veit Sandfort, Ronald M. Summers
2019	J	`jnl`	A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso
2019	—	`conf`	A self-attention based deep learning method for lesion attribute detection from CT reports. ICHI Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu
2019	J	`jnl`	A self-attention based deep learning method for lesion attribute detection from CT reports. CoRR Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu
2019	—	`conf`	A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans. Computer-Aided Diagnosis Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers
2019	—	`conf`	Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier. ISBI Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers
2019	J	`jnl`	Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier. CoRR Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers
2019	—	`ch.`	Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers
2019	—	`conf`	CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation. Computer-Aided Diagnosis Youbao Tang, Sooyoun Oh, Yuxing Tang, Jing Xiao, Ronald M. Summers
2019	—	`ch.`	ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers
2019	—	`ch.`	Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
2019	—	`conf`	Deep adversarial one-class learning for normal and abnormal chest radiograph classification. Computer-Aided Diagnosis Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers
2019	—	`conf`	Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports. ISBI Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2019	J	`jnl`	Fine-grained lesion annotation in CT images with knowledge mined from radiology reports. CoRR Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2019	A*	`conf`	Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology. CVPR Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
2019	J	`jnl`	Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology. CoRR Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
2019	—	`conf`	MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. MICCAI (6) Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
2019	J	`jnl`	MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. CoRR Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
2019	—	`conf`	Segmenting The Kidney On CT Scans Via Crowdsourcing. ISBI Paras Mehta, Veit Sandfort, Daan Gheysens, Gert-Jan Braeckevelt, Jonathan Berte, Ronald M. Summers
2019	J	`jnl`	Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. CoRR Ling Zhang, Le Lu, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao
2019	—	`conf`	TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays. MICCAI (6) Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers
2019	J	`jnl`	TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays. CoRR Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers
2019	—	`ch.`	Tumor Growth Prediction Using Convolutional Networks. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2019	J	`jnl`	ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining. CoRR Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers
2019	—	`conf`	Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining. ISBI Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jin Xiao, Ronald M. Summers
2019	—	`conf`	XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. MIDL Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers
2019	J	`jnl`	XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. CoRR Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers
2019	J	`jnl`	Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction. CoRR Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Kerstin Hammernik
2019	J	`jnl`	Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction. CoRR Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert
2018	—	`conf`	3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion Detection. MICCAI (1) Ke Yan, Mohammadhadi Bagheri, Ronald M. Summers
2018	J	`jnl`	3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection. CoRR Ke Yan, Mohammadhadi Bagheri, Ronald M. Summers
2018	—	`conf`	A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. MICCAI (2) Nathan Lay, Yohannes Tsehay, Yohan Sumathipala, Ruida Cheng, Sonia Gaur, Clayton Smith, Adrian Barbu, Le Lu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers
2018	—	`conf`	A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans. Computer-Aided Diagnosis Jiamin Liu, Karthik Chellamuthu, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers
2018	J	`jnl`	Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST. CoRR Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
2018	—	`conf`	Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. MICCAI (4) Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
2018	J	`jnl`	Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. CoRR Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
2018	J	`jnl`	An analysis of robust cost functions for CNN in computer-aided diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Adrian Barbu, Le Lu, Holger Roth, Ari Seff, Ronald M. Summers
2018	—	`conf`	Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. MLMI@MICCAI Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers
2018	J	`jnl`	Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. CoRR Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers
2018	—	`conf`	CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. MLMI@MICCAI Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
2018	J	`jnl`	CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. CoRR Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
2018	—	`conf`	Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans. ISBI Jiamin Liu, Jinzheng Cai, Karthik Chellamuthu, Mohammadhadi Bagheri, Le Lu, Ronald M. Summers
2018	J	`jnl`	Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. CoRR Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2018	J	`jnl`	Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. IEEE Trans. Medical Imaging Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2018	J	`jnl`	Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans. CoRR Zhihui Guo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao
2018	—	`conf`	Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans. ISBI Zhihui Quo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao
2018	A*	`conf`	Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. CVPR Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
2018	J	`jnl`	DeepPap: Deep Convolutional Networks for Cervical Cell Classification. CoRR Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao
2018	J	`jnl`	Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura
2018	J	`jnl`	Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation. CoRR Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao
2018	—	`conf`	Self-learning to detect and segment cysts in lung CT images without manual annotation. ISBI Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao
2018	J	`jnl`	Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks. CoRR Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M. Summers
2018	—	`conf`	Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks. MICCAI (4) Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M. Summers
2018	J	`jnl`	Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. Medical Image Anal. Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers
2018	A*	`conf`	TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. CVPR Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers
2018	J	`jnl`	TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays. CoRR Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers
2018	—	`conf`	Tracking diaphragm and chest wall movement on cine-MRI. ISBI Jianhua Yao, Robert Zhu, Pomi Yun, Nathan Hsieh, William Kovacs, Andrew E. Arai, Ami Mankodi, Ronald M. Summers, A. Reghan Foley, Carsten G. Bönnemann
2018	—	`conf`	Unsupervised body part regression via spatially self-ordering convolutional neural networks. ISBI Ke Yan, Le Lu, Ronald M. Summers
2017	J	`jnl`	A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling. IEEE Trans. Image Process. Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2017	—	`conf`	Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks. ISBI Karthik Chellamuthu, Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Le Lu, Veit Sandfort, Ronald M. Summers
2017	B	`conf`	Automatic MR prostate segmentation by deep learning with holistically-nested networks. Image Processing Ruida Cheng, Holger R. Roth, Nathan Lay, Le Lu, Baris Turkbey, William Gandler, Evan S. McCreedy, Peter L. Choyke, Ronald M. Summers, Matthew J. McAuliffe
2017	—	`ch.`	Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling. Deep Learning and Convolutional Neural Networks for Medical Image Computing Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2017	—	`conf`	Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. ISBI Yohannes Tsehay, Nathan Lay, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers
2017	A*	`conf`	ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CVPR Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers
2017	J	`jnl`	ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CoRR Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers
2017	—	`conf`	Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei. ISBI Ling Zhang, Milan Sonka, Le Lu, Ronald M. Summers, Jianhua Yao
2017	—	`conf`	Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. Computer-Aided Diagnosis Yohannes K. Tsehay, Nathan S. Lay, Holger R. Roth, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers
2017	—	`ch.`	Deep Learning and Computer-Aided Diagnosis for Medical Image Processing: A Personal Perspective. Deep Learning and Convolutional Neural Networks for Medical Image Computing Ronald M. Summers
2017	J	`jnl`	Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database. CoRR Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
2017	—	`conf`	Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. ISBI Ruida Cheng, Nathan Lay, Francesca Mertan, Baris Turkbey, Holger R. Roth, Le Lu, William Gandler, Evan S. McCreedy, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe, Ronald M. Summers
2017	J	`jnl`	DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations. CoRR Ke Yan, Xiaosong Wang, Le Lu, Ronald M. Summers
2017	J	`jnl`	DeepPap: Deep Convolutional Networks for Cervical Cell Classification. IEEE J. Biomed. Health Informatics Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao
2017	—	`ch.`	Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. Deep Learning and Convolutional Neural Networks for Medical Image Computing Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers
2017	J	`jnl`	Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling. CoRR Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura
2017	—	`conf`	Holistic Segmentation of Intermuscular Adipose Tissues on Thigh MRI. MICCAI (1) Jianhua Yao, William Kovacs, Nathan Hsieh, Chia-Ying Liu, Ronald M. Summers
2017	—	`ch.`	Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database. Deep Learning and Convolutional Neural Networks for Medical Image Computing Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers
2017	J	`jnl`	Medical Image Data and Datasets in the Era of Machine Learning - Whitepaper from the 2016 C-MIMI Meeting Dataset Session. J. Digit. Imaging Marc D. Kohli, Ronald M. Summers, J. Raymond Geis
2017	—	`ch.`	Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning. Deep Learning for Medical Image Analysis Hoo-Chang Shin, Le Lu, Ronald M. Summers
2017	J	`jnl`	NegBio: a high-performance tool for negation and uncertainty detection in radiology reports. CoRR Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu
2017	J	`jnl`	Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling. IEEE Trans. Medical Imaging Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2017	—	`conf`	Pelvic artery calcification detection on CT scans using convolutional neural networks. Computer-Aided Diagnosis Jiamin Liu, Le Lu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers
2017	—	`conf`	Personalized Pancreatic Tumor Growth Prediction via Group Learning. MICCAI (2) Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2017	J	`jnl`	Personalized Pancreatic Tumor Growth Prediction via Group Learning. CoRR Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2017	J	`jnl`	Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. CoRR Adam P. Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M. Summers, Daniel J. Mollura
2017	—	`conf`	Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. MICCAI (3) Adam P. Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M. Summers, Daniel J. Mollura
2017	J	`jnl`	Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation. CoRR Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers
2017	Misc	`conf`	Text Mining Radiology Reports for Deep Learning Radiology Images. AMIA Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu
2017	—	`conf`	Texture analysis of common renal masses in multiple MR sequences for prediction of pathology. Computer-Aided Diagnosis Uyen N. Hoang, Ashkan A. Malayeri, Nathan S. Lay, Ronald M. Summers, Jianhua Yao
2017	—	`ch.`	Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
2017	A	`conf`	Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition. WACV Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers
2017	J	`jnl`	Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition. CoRR Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers
2017	J	`jnl`	Unsupervised body part regression using convolutional neural network with self-organization. CoRR Ke Yan, Le Lu, Ronald M. Summers
2016	J	`jnl`	A multi-center milestone study of clinical vertebral CT segmentation. Comput. Medical Imaging Graph. Jianhua Yao, Joseph E. Burns, Daniel Forsberg, Alexander Seitel, Abtin Rasoulian, Purang Abolmaesumi, Kerstin Hammernik, Martin Urschler, Bulat Ibragimov, Robert Korez, Tomaz Vrtovec, Isaac Castro-Mateos, Jose M. Pozo, Alejandro F. Frangi, Ronald M. Summers, Shuo Li
2016	A	`conf`	Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization. WACV Le Lu, Dijia Wu, Nathan Lay, David Liu, Isabella Nogues, Ronald M. Summers
2016	B	`conf`	Active appearance model and deep learning for more accurate prostate segmentation on MRI. Image Processing Ruida Cheng, Holger R. Roth, Le Lu, Shijun Wang, Baris Turkbey, William Gandler, Evan S. McCreedy, Harsh K. Agarwal, Peter L. Choyke, Ronald M. Summers, Matthew J. McAuliffe
2016	—	`conf`	Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. MICCAI (2) Isabella Nogues, Le Lu, Xiaosong Wang, Holger Roth, Gedas Bertasius, Nathan Lay, Jianbo Shi, Yohannes Tsehay, Ronald M. Summers
2016	—	`conf`	CT thermometry for cone-beam CT guided ablation. Image-Guided Procedures Zachary DeStefano, Nadine Abi-Jaoudeh, Ming Li, Bradford J. Wood, Ronald M. Summers, Jianhua Yao
2016	—	`conf`	Colitis detection on abdominal CT scans by rich feature hierarchies. Computer-Aided Diagnosis Jiamin Liu, Nathan Lay, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers
2016	—	`conf`	Colitis detection on computed tomography using regional convolutional neural networks. ISBI Jiamin Liu, David Wang, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers
2016	J	`jnl`	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. CoRR Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
2016	J	`jnl`	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans. Medical Imaging Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
2016	—	`conf`	Deep convolutional networks for automated detection of posterior-element fractures on spine CT. Computer-Aided Diagnosis Holger R. Roth, Yinong Wang, Jianhua Yao, Le Lu, Joseph E. Burns, Ronald M. Summers
2016	J	`jnl`	Deep convolutional networks for automated detection of posterior-element fractures on spine CT. CoRR Holger R. Roth, Yinong Wang, Jianhua Yao, Le Lu, Joseph E. Burns, Ronald M. Summers
2016	—	`conf`	Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks. CSI@MICCAI Yinong Wang, Jianhua Yao, Joseph E. Burns, Jiamin Liu, Ronald M. Summers
2016	—	`conf`	Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest. Computer-Aided Diagnosis Nathan Lay, Sabrina Freeman, Baris Turkbey, Ronald M. Summers
2016	—	`conf`	Differentiation of fat, muscle, and edema in thigh MRIs using random forest classification. Computer-Aided Diagnosis William Kovacs, Chia-Ying Liu, Ronald M. Summers, Jianhua Yao
2016	J	`jnl`	Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique. IEEE Trans. Medical Imaging Hayit Greenspan, Bram van Ginneken, Ronald M. Summers
2016	—	`conf`	Identification of muscle and subcutaneous and intermuscular adipose tissue on thigh MRI of muscular dystrophy. ISBI William Kovacs, Chia-Ying Liu, Ronald M. Summers, Jianhua Yao
2016	J	`jnl`	Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. IEEE Trans. Medical Imaging Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers
2016	J	`jnl`	Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases. CoRR Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers
2016	—	`conf`	Improving vertebra segmentation through joint vertebra-rib atlases. Computer-Aided Diagnosis Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers
2016	J	`jnl`	Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. J. Mach. Learn. Res. Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers
2016	A*	`conf`	Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. CVPR Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers
2016	J	`jnl`	Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. CoRR Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers
2016	J	`jnl`	Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT. CoRR Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers
2016	—	`conf`	Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. MLMI@MICCAI Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura
2016	J	`jnl`	Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection. J. Digit. Imaging Samuel J. Weisenthal, Les R. Folio, William Kovacs, Ari Seff, Vana Derderian, Ronald M. Summers, Jianhua Yao
2016	J	`jnl`	Osteoporotic and Neoplastic Compression Fracture Classification on Longitudinal CT. CoRR Yinong Wang, Jianhua Yao, Joseph E. Burns, Ronald M. Summers
2016	—	`conf`	Osteoporotic and neoplastic compression fracture classification on longitudinal CT. ISBI Yinong Wang, Jianhua Yao, Joseph E. Burns, Ronald M. Summers
2016	J	`jnl`	Regional infarction identification from cardiac CT images: a computer-aided biomechanical approach. Int. J. Comput. Assist. Radiol. Surg. Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao
2016	J	`jnl`	Retrieval, visualization, and mining of large radiation dosage data. Inf. Retr. J. William Kovacs, Samuel Weisenthal, Les R. Folio, Qiaoyi Li, Ronald M. Summers, Jianhua Yao
2016	—	`conf`	Segmentation label propagation using deep convolutional neural networks and dense conditional random field. ISBI Mingchen Gao, Ziyue Xu, Le Lu, Aaron Wu, Isabella Nogues, Ronald M. Summers, Daniel J. Mollura
2016	—	`conf`	Soft Multi-organ Shape Models via Generalized PCA: A General Framework. MICCAI (3) Juan J. Cerrolaza, Ronald M. Summers, Marius George Linguraru
2016	—	`conf`	Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation. MICCAI (2) Holger R. Roth, Le Lu, Amal Farag, Andrew Sohn, Ronald M. Summers
2016	J	`jnl`	Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation. CoRR Holger R. Roth, Le Lu, Amal Farag, Andrew Sohn, Ronald M. Summers
2016	J	`jnl`	Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database. CoRR Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Isabella Nogues, Jianhua Yao, Ronald M. Summers
2015	J	`jnl`	A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling. CoRR Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2015	J	`jnl`	Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors. Medical Image Anal. Toshiyuki Okada, Marius George Linguraru, Masatoshi Hori, Ronald M. Summers, Noriyuki Tomiyama, Yoshinobu Sato
2015	—	`conf`	Anatomy-specific classification of medical images using deep convolutional nets. ISBI Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers
2015	J	`jnl`	Anatomy-specific classification of medical images using deep convolutional nets. CoRR Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers
2015	—	`conf`	Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest. ISBI Jiamin Liu, Divya Narayanan, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers
2015	—	`conf`	Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest. Computer-Aided Diagnosis Jiamin Liu, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers
2015	—	`conf`	Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation. Computer-Aided Diagnosis Joanne Hoffman, Jiamin Liu, Evrim Turkbey, Lauren Kim, Ronald M. Summers
2015	J	`jnl`	Automatic multi-resolution shape modeling of multi-organ structures. Medical Image Anal. Juan J. Cerrolaza, Mauricio Reyes, Ronald M. Summers, Miguel Ángel González Ballester, Marius George Linguraru
2015	—	`conf`	Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM. MICCAI (2) Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao
2015	J	`jnl`	Computer-aided detection of exophytic renal lesions on non-contrast CT images. Medical Image Anal. Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, Ronald M. Summers
2015	B	`conf`	Deep convolutional networks for pancreas segmentation in CT imaging. Image Processing Holger R. Roth, Amal Farag, Le Lu, Evrim B. Turkbey, Ronald M. Summers
2015	J	`jnl`	Deep convolutional networks for pancreas segmentation in CT imaging. CoRR Holger Roth, Amal Farag, Le Lu, Evrim B. Turkbey, Ronald M. Summers
2015	—	`conf`	DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. MICCAI (1) Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers
2015	J	`jnl`	DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. CoRR Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2015	—	`conf`	Dynamic cortex stripping for vertebra evaluation. Computer-Aided Diagnosis James Stieger, Joseph E. Burns, Jianhua Yao, Ronald M. Summers
2015	—	`conf`	Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer. Computer-Aided Diagnosis Kevin Michael Boehm, Shijun Wang, Karen E. Burtt, Baris Turkbey, Samuel Weisenthal, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
2015	J	`jnl`	Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation. CoRR Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers
2015	J	`jnl`	Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. CoRR Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers
2015	A*	`conf`	Interleaved text/image Deep Mining on a large-scale radiology database. CVPR Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers
2015	—	`conf`	Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. MICCAI (2) Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers
2015	—	`conf`	Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT. CSI@MICCAI Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers
2015	—	`conf`	Myocardial strain estimation from CT: towards computer-aided diagnosis on infarction identification. Computer-Aided Diagnosis Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao
2015	J	`jnl`	Optimizing area under the ROC curve using semi-supervised learning. Pattern Recognit. Shijun Wang, Diana Li, Nicholas Petrick, Berkman Sahiner, Marius George Linguraru, Ronald M. Summers
2015	—	`conf`	Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion. IPMI Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2015	J	`jnl`	Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression. Medical Image Anal. Kevin M. Cherry, Brandon Peplinski, Lauren Kim, Shijun Wang, Le Lu, Weidong Zhang, Jianfei Liu, Zhuoshi Wei, Ronald M. Summers
2015	J	`jnl`	Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion. Medical Image Anal. Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2014	—	`conf`	2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. MICCAI (1) Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers
2014	J	`jnl`	2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. CoRR Ari Seff, Le Lu, Kevin M. Cherry, Holger Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers
2014	—	`conf`	A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans. ABDI@MICCAI Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers
2014	J	`jnl`	A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans. CoRR Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers
2014	—	`conf`	A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. MICCAI (1) Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2014	J	`jnl`	A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations. CoRR Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2014	—	`conf`	Abdominal lymphadenopathy detection using random forest. Computer-Aided Diagnosis Kevin M. Cherry, Shijun Wang, Evrim B. Turkbey, Ronald M. Summers
2014	—	`conf`	Automated extraction of anatomic landmarks on vertebrae based on anatomic knowledge and geometrical constraints. ISBI Jianhua Yao, Joseph E. Burns, Sasha Getty, James Stieger, Ronald M. Summers
2014	J	`jnl`	Computer aided detection of epidural masses on computed tomography scans. Comput. Medical Imaging Graph. Jiamin Liu, Sanket Pattanaik, Jianhua Yao, Evrim Turkbey, Weidong Zhang, Xiao Zhang, Ronald M. Summers
2014	J	`jnl`	Cortical shell unwrapping for vertebral body abnormality detection on computed tomography. Comput. Medical Imaging Graph. Jianhua Yao, Joseph E. Burns, Hector Munoz, Ronald M. Summers
2014	—	`conf`	Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion. ISBI Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao, Le Lu, Evrim Turkbey, Christine Kim, Ronald M. Summers
2014	J	`jnl`	Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications. CoRR Holger R. Roth, Jianhua Yao, Le Lu, James Stieger, Joseph E. Burns, Ronald M. Summers
2014	B	`conf`	Locally constrained active contour: a region-based level set for ovarian cancer metastasis segmentation. Image Processing Jianfei Liu, Jianhua Yao, Shijun Wang, Marius George Linguraru, Ronald M. Summers
2014	—	`conf`	Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion. Computer-Aided Diagnosis Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao, Weidong Zhang, Evrim B. Turkbey, Shijun Wang, Christine Kim, Ronald M. Summers
2014	—	`conf`	Multilevel image recognition using discriminative patches and kernel covariance descriptor. Computer-Aided Diagnosis Le Lu, Jianhua Yao, Evrim Turkbey, Ronald M. Summers
2014	J	`jnl`	Patient specific tumor growth prediction using multimodal images. Medical Image Anal. Yixun Liu, Samira M. Sadowski, Allison B. Weisbrod, Electron Kebebew, Ronald M. Summers, Jianhua Yao
2014	—	`conf`	Reducing false positives of small bowel segmentation on CT scans by localizing colon regions. Computer-Aided Diagnosis Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers
2014	B	`conf`	Robust automated lymph node segmentation with random forests. Image Processing David Allen, Le Lu, Jianhua Yao, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2014	—	`conf`	Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization. MICCAI (2) Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2014	J	`jnl`	Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT. Medical Image Anal. Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, Ronald M. Summers
2014	—	`conf`	Vertebral degenerative disc disease severity evaluation using random forest classification. Computer-Aided Diagnosis Hector E. Munoz, Jianhua Yao, Joseph E. Burns, Yasuyuki Pham, James Stieger, Ronald M. Summers
2013	—	`conf`	A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases. MICCAI (2) Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, Ronald M. Summers
2013	—	`conf`	A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels. Computer-Aided Diagnosis Peter Liu, Shijun Wang, Baris Turkbey, Kinzya Grant, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Ronald M. Summers
2013	—	`conf`	Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors. MICCAI (3) Toshiyuki Okada, Marius George Linguraru, Masatoshi Hori, Ronald M. Summers, Noriyuki Tomiyama, Yoshinobu Sato
2013	—	`conf`	Augmenting tumor sensitive matching flow to improve detection and segmentation of ovarian cancer metastases within a PDE framework. ISBI Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, Ronald M. Summers
2013	J	`jnl`	Automatic Segmentation and Measurement of Pleural Effusions on CT. IEEE Trans. Biomed. Eng. Jianhua Yao, John Bliton, Ronald M. Summers
2013	—	`conf`	Automatic anatomical labeling of abdominal arteries for small bowel evaluation on 3D CT scans. ISBI Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers
2013	—	`conf`	Automatic segmentation of kidneys from non-contrast CT images using efficient belief propagation. Computer-Aided Diagnosis Jianfei Liu, Marius George Linguraru, Shijun Wang, Ronald M. Summers
2013	B	`conf`	Build 4-dimensional myocardial model for dynamic CT images. Image Processing Yixun Liu, Songtao Liu, Albert C. Lardo, Karl H. Schuleri, Marcelo S. Nacif, David A. Bluemke, Ronald M. Summers, Jianhua Yao
2013	—	`conf`	Computer assisted measurement of femoral cortex thickening on radiographs. Computer-Aided Diagnosis Jianhua Yao, Yixun Liu, Foster Chen, Ronald M. Summers, Timothy Bhattacharyya
2013	—	`conf`	Computer-aided detection of colitis on computed tomography using a visual codebook. ISBI Zhuoshi Wei, Weidong Zhang, Jianfei Liu, Shijun Wang, Jianhua Yao, Ronald M. Summers
2013	—	`conf`	Detection of vertebral degenerative disc disease based on cortical shell unwrapping. Computer-Aided Diagnosis Hector E. Muñoz, Jianhua Yao, Joseph E. Burns, Ronald M. Summers
2013	J	`jnl`	Kidney Tumor Growth Prediction by Coupling Reaction-Diffusion and Biomechanical Model. IEEE Trans. Biomed. Eng. Xinjian Chen, Ronald M. Summers, Jianhua Yao
2013	—	`conf`	Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-contrast CT Images. MICCAI (1) Jianfei Liu, Shijun Wang, Jianhua Yao, Marius George Linguraru, Ronald M. Summers
2013	J	`jnl`	Mesenteric Vasculature-Guided Small Bowel Segmentation on 3-D CT. IEEE Trans. Medical Imaging Weidong Zhang, Jiamin Liu, Jianhua Yao, Adeline Louie, Tan B. Nguyen, Stephen Wank, Wieslaw L. Nowinski, Ronald M. Summers
2013	—	`conf`	Multimodal Image Driven Patient Specific Tumor Growth Modeling. MICCAI (3) Yixun Liu, Samira M. Sadowski, Allison B. Weisbrod, Electron Kebebew, Ronald M. Summers, Jianhua Yao
2013	—	`conf`	Robust detection of renal calculi from non-contract CT images using TV-flow and MSER features. Computer-Aided Diagnosis Jianfei Liu, Shijun Wang, Marius George Linguraru, Ronald M. Summers
2013	—	`conf`	Segmenting the thoracic, abdominal and pelvic musculature on CT scans combining atlas-based model and active contour model. Computer-Aided Diagnosis Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers
2013	—	`conf`	Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion. MICCAI (2) Shijun Wang, Brandon Peplinski, Le Lu, Weidong Zhang, Jianfei Liu, Zhuoshi Wei, Ronald M. Summers
2013	—	`conf`	Tumor growth modeling based on dual phase CT and FDG-PET. ISBI Yixun Liu, Samira M. Sadowski, Allison B. Weisbrod, Electron Kebebew, Ronald M. Summers, Jianhua Yao
2013	—	`conf`	Visual Phrase Learning and Its Application in Computed Tomographic Colonography. MICCAI (1) Shijun Wang, Matthew McKenna, Zhuoshi Wei, Jiamin Liu, Peter Liu, Ronald M. Summers
2012	J	`jnl`	A Framework of Whole Heart Extracellular Volume Fraction Estimation for Low-Dose Cardiac CT Images. IEEE Trans. Inf. Technol. Biomed. Xinjian Chen, Marcelo S. Nacif, Songtao Liu, Christopher T. Sibley, Ronald M. Summers, David A. Bluemke, Jianhua Yao
2012	—	`conf`	A cross-platform and distributive database system for cumulative tumor measurement. EMBC Jiaxin Huang, David A. Bluemke, Xiao Zhang, Ronald M. Summers, Les R. Folio, Jianhua Yao
2012	B	`conf`	A framework of whole heart extracellular volume fraction estimation for low dose cardiac CT images. Image Processing Xinjian Chen, Ronald M. Summers, Marcelo S. Nacif, Songtao Liu, David A. Bluemke, Jianhua Yao
2012	—	`conf`	Automated detection of pelvic fractures from volumetric CT images. ISBI Ananda S. Chowdhury, Joseph E. Burns, Arka Mukherjee, Bhaskar Sen, Jianhua Yao, Ronald M. Summers
2012	—	`conf`	Automatic detection and segmentation of abdominopelvic lymph nodes on computed tomography scans. ISBI Jiamin Liu, Chin-Hsiang Feng, Jeremy Hua, Jianhua Yao, Jacob M. White, Ronald M. Summers
2012	—	`conf`	Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients. Computer-Aided Diagnosis Jiamin Liu, Jeremy Hua, Vivek Chellappa, Nicholas Petrick, Berkman Sahiner, Mohammed Farooqui, Gerald Marti, Adrian Wiestner, Ronald M. Summers
2012	—	`conf`	Computer vision approach to detect colonic polyps in computed tomographic colonography. Computer-Aided Diagnosis Matthew T. McKenna, Shijun Wang, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
2012	—	`conf`	Computer-aided marginal artery detection on computed tomographic colonography. Computer-Aided Diagnosis Zhuoshi Wei, Jianhua Yao, Shijun Wang, Jiamin Liu, Ronald M. Summers
2012	—	`conf`	Computer-aided mesenteric small vessel segmentation on high-resolution 3D contrast-enhanced CT angiography scans. Computer-Aided Diagnosis Weidong Zhang, Jiamin Liu, Jianhua Yao, Tan Nguyen, Adeline Louie, Stephen Wank, Ronald M. Summers
2012	—	`conf`	Detection of Vertebral Body Fractures Based on Cortical Shell Unwrapping. MICCAI (3) Jianhua Yao, Joseph E. Burns, Hector Munoz, Ronald M. Summers
2012	—	`conf`	Detection of sclerotic bone metastases in the spine using watershed algorithm and graph cut. Computer-Aided Diagnosis Tatjana Wiese, Jianhua Yao, Joseph E. Burns, Ronald M. Summers
2012	—	`conf`	Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images. MICCAI (3) Shijun Wang, Peter Liu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers
2012	J	`jnl`	Machine learning and radiology. Medical Image Anal. Shijun Wang, Ronald M. Summers
2012	J	`jnl`	Matching 3-D Prone and Supine CT Colonography Scans Using Graphs. IEEE Trans. Inf. Technol. Biomed. Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Zhuoshi Wei, Ronald M. Summers
2012	—	`conf`	Mesenteric vasculature-guided small bowel segmentation on high-resolution 3D CT angiography scans. ISBI Weidong Zhang, Jiamin Liu, Jianhua Yao, Tan B. Nguyen, Adeline Louie, Stephen Wank, Wieslaw L. Nowinski, Ronald M. Summers
2012	—	`conf`	Multi-organ segmentation in abdominal CT images. EMBC Toshiyuki Okada, Marius George Linguraru, Masatoshi Hori, Yuki Suzuki, Ronald M. Summers, Noriyuki Tomiyama, Yoshinobu Sato
2012	—	`conf`	Point-guided modeling and segmentation of myocardium for low dose cardiac CT images. EMBC Yixun Liu, Marcelo Souto Nacif, Songtao Liu, Christopher T. Sibley, David A. Bluemke, Ronald M. Summers, Jianhua Yao
2012	J	`jnl`	Predicting Polyp Location on Optical Colonoscopy From CT Colonography by Minimal-Energy Curve Modeling of the Colonoscope Path. IEEE Trans. Biomed. Eng. Jiamin Liu, Kevin W. Chang, Jianhua Yao, Ronald M. Summers
2012	—	`conf`	Quantitative vertebral compression fracture evaluation using a height compass. Computer-Aided Diagnosis Jianhua Yao, Joseph E. Burns, Tatjana Wiese, Ronald M. Summers
2012	—	`conf`	ROC-like optimization by sample ranking: Application to CT colonography. ISBI Shijun Wang, Matthew McKenna, Nicholas Petrick, Berkman Sahiner, Marius George Linguraru, Zhuoshi Wei, Jianhua Yao, Ronald M. Summers
2012	—	`conf`	Sclerotic rib metastases detection on routine CT images. ISBI Jianhua Yao, Joseph E. Burns, Ronald M. Summers
2012	J	`jnl`	Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning. IEEE Trans. Medical Imaging Shijun Wang, Matthew McKenna, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
2012	J	`jnl`	Statistical 4D graphs for multi-organ abdominal segmentation from multiphase CT. Medical Image Anal. Marius George Linguraru, John A. Pura, Vivek Pamulapati, Ronald M. Summers
2012	J	`jnl`	Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence. Medical Image Anal. Matthew McKenna, Shijun Wang, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Ronald M. Summers
2012	—	`conf`	Supine and prone CT colonography registration by matching graphs of teniae coli. ISBI Zhuoshi Wei, Shijun Wang, Nicholas Petrick, Jianhua Yao, Senthil Periaswamy, Ronald M. Summers
2012	J	`jnl`	Tumor Burden Analysis on Computed Tomography by Automated Liver and Tumor Segmentation. IEEE Trans. Medical Imaging Marius George Linguraru, William J. Richbourg, Jianfei Liu, Jeremy M. Watt, Vivek Pamulapati, Shijun Wang, Ronald M. Summers
2012	—	`conf`	Tumor Sensitive Matching Flow: An Approach for Ovarian Cancer Metastasis Detection and Segmentation. Abdominal Imaging Jianfei Liu, Shijun Wang, Marius George Linguraru, Ronald M. Summers
2011	—	`conf`	3D supine and prone colon registration for computed tomographic colonography scans based on graph matching. Computer-Aided Diagnosis Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Ronald M. Summers
2011	—	`conf`	A Scalable Reference Standard of Visual Similarity for a Content-Based Image Retrieval System. HISB Jessica S. Faruque, Daniel L. Rubin, Christopher F. Beaulieu, Jarrett Rosenberg, Aya Kamaya, Grace Tye, Sandy Napel, Ronald M. Summers
2011	—	`conf`	Abdominal Multi-Organ Segmentation of CT Images Based on Hierarchical Spatial Modeling of Organ Interrelations. Abdominal Imaging Toshiyuki Okada, Marius George Linguraru, Yasuhide Yoshida, Masatoshi Hori, Ronald M. Summers, Yen-Wei Chen, Noriyuki Tomiyama, Yoshinobu Sato
2011	—	`conf`	Abdominal multi-organ localization on contrast-enhanced CT based on maximum a posteriori probability and minimum volume overlap. ISBI Xiaofeng Liu, Marius George Linguraru, Jianhua Yao, Ronald M. Summers
2011	—	`conf`	Analyses of Missing Organs in Abdominal Multi-Organ Segmentation. Abdominal Imaging Miyuki Suzuki, Marius George Linguraru, Ronald M. Summers, Kazunori Okada
2011	B	`conf`	Automatic 3D kidney segmentation based on shape constrained GC-OAAM. Image Processing Xinjian Chen, Ronald M. Summers, Jianhua Yao
2011	—	`conf`	Automatic colonic polyp shape determination using content-based image retrieval. Computer-Aided Diagnosis Javed M. Aman, Jianhua Yao, Ronald M. Summers
2011	—	`conf`	Computer-Aided Polyp Detection for Laxative-Free CT Colonography. Abdominal Imaging Neil Panjwani, Marius George Linguraru, Joel G. Fletcher, Ronald M. Summers
2011	—	`conf`	Computer-aided abdominal lymph node detection using contrast-enhanced CT images. Computer-Aided Diagnosis Jiamin Liu, Jeremy Hua, Jianhua Yao, Jacob M. White, Ronald M. Summers
2011	—	`conf`	Computer-aided assessment of pulmonary disease in novel swine-origin H1N1 influenza on CT. Computer-Aided Diagnosis Jianhua Yao, Andrew J. Dwyer, Ronald M. Summers, Daniel J. Mollura
2011	—	`conf`	Computer-aided detection of sclerotic bone metastases in the spine using watershed algorithm and support vector machines. ISBI Tatjana Wiese, Joseph E. Burns, Jianhua Yao, Ronald M. Summers
2011	—	`conf`	Computer-aided teniae coli detection using height maps from computed tomographic colonography images. Computer-Aided Diagnosis Zhuoshi Wei, Jianhua Yao, Shijun Wang, Ronald M. Summers
2011	B	`conf`	Detection of pelvic fractures using graph cuts and curvatures. ICIP Ananda S. Chowdhury, Joseph E. Burns, Bhaskar Sen, Arka Mukherjee, Jianhua Yao, Ronald M. Summers
2011	J	`jnl`	FEM-Based 3-D Tumor Growth Prediction for Kidney Tumor. IEEE Trans. Biomed. Eng. Xinjian Chen, Ronald M. Summers, Jianhua Yao
2011	—	`conf`	Fusion of machine intelligence and human intelligence for colonic polyp detection in CT colonography. ISBI Shijun Wang, Vishal Anugu, Tan B. Nguyen, Natalie Rose, Joseph E. Burns, Matthew McKenna, Nicholas Petrick, Ronald M. Summers
2011	—	`conf`	Improved 3D automatic segmentation and measurement of pleural effusions. ISBI John Bliton, Jianhua Yao, Mark Bi, Ronald M. Summers
2011	—	`conf`	Liver and Tumor Segmentation and Analysis from CT of Diseased Patients via a Generic Affine Invariant Shape Parameterization and Graph Cuts. Abdominal Imaging Marius George Linguraru, William J. Richbourg, Jeremy M. Watt, Vivek Pamulapati, Ronald M. Summers
2011	—	`ed.`	Medical Imaging 2011: Computer-Aided Diagnosis, Lake Buena Vista (Orlando), Florida, United States, 12-17 February 2011 Computer-Aided Diagnosis Ronald M. Summers, Bram van Ginneken
2010	B	`conf`	Automated detection of blob structures by Hessian analysis and object scale. ICIP Jiamin Liu, Jacob M. White, Ronald M. Summers
2010	B	`conf`	Automated fat measurement and segmentation with intensity inhomogeneity correction. Image Processing Daniel Lewis Sussman, Jianhua Yao, Ronald M. Summers
2010	—	`conf`	Automated measurement and segmentation of abdominal adipose tissue in MRI. ISBI Daniel Lewis Sussman, Jianhua Yao, Ronald M. Summers
2010	—	`conf`	Characterizing Colonic Detections in CT Colonography Using Curvature-Based Feature Descriptor and Bag-of-Words Model. Virtual Colonoscopy and Abdominal Imaging Javed M. Aman, Ronald M. Summers, Jianhua Yao
2010	J	`jnl`	Colonic fold detection from computed tomographic colonography images using diffusion-FCM and level sets. Pattern Recognit. Lett. Ananda S. Chowdhury, Sovira Tan, Jianhua Yao, Ronald M. Summers
2010	J	`jnl`	Combining Statistical and Geometric Features for Colonic Polyp Detection in Ctc Based on Multiple Kernel Learning. Int. J. Comput. Intell. Appl. Shijun Wang, Jianhua Yao, Nicholas Petrick, Ronald M. Summers
2010	—	`conf`	Computer-aided lymph node detection in abdominal CT images. Computer-Aided Diagnosis Jiamin Liu, Jacob M. White, Ronald M. Summers
2010	—	`conf`	Content-based image retrieval on CT colonography using rotation and scale invariant features and bag-of-words model. ISBI Javed M. Aman, Jianhua Yao, Ronald M. Summers
2010	—	`conf`	Current concepts in computer-aided detection for CT colonography. ISBI Ronald M. Summers
2010	—	`conf`	FEM Based 3D Tumor Growth Prediction for Kidney Tumor. MIAR Xinjian Chen, Ronald M. Summers, Jianhua Yao
2010	B	`conf`	Graph matching based on mean field theory. ICIP Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Ronald M. Summers
2010	B	`conf`	Improved method for predicting polyp location from CT colonography for optical colonoscopy. ICIP Kevin W. Chang, Jiamin Liu, Jianhua Yao, Ronald M. Summers
2010	J	`jnl`	Improving polyp detection algorithms for CT colonography: Pareto front approach. Pattern Recognit. Lett. Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara
2010	—	`conf`	Matching colonic polyps using correlation optimized warping. Computer-Aided Diagnosis Shijun Wang, Jianhua Yao, Nicholas Petrick, Ronald M. Summers
2010	—	`ed.`	Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, California, United States, 13-18 February 2010 Computer-Aided Diagnosis Nico Karssemeijer, Ronald M. Summers
2010	—	`conf`	Multi-organ Segmentation from Multi-phase Abdominal CT via 4D Graphs Using Enhancement, Shape and Location Optimization. MICCAI (3) Marius George Linguraru, John A. Pura, Ananda S. Chowdhury, Ronald M. Summers
2010	—	`conf`	Organ Pose Distribution Model and an MAP Framework for Automated Abdominal Multi-organ Localization. MIAR Xiaofeng Liu, Marius George Linguraru, Jianhua Yao, Ronald M. Summers
2010	—	`conf`	Prediction of polyp histology on CT colonography using content-based image retrieval. Computer-Aided Diagnosis Javed M. Aman, Jianhua Yao, Ronald M. Summers
2010	—	`conf`	Realistic colon simulation in CT colonography using mesh skinning. Image-Guided Procedures Jianhua Yao, Ananda S. Chowdhury, Ronald M. Summers
2010	J	`jnl`	Reversible Projection Technique for Colon Unfolding. IEEE Trans. Biomed. Eng. Jianhua Yao, Ananda S. Chowdhury, Javed M. Aman, Ronald M. Summers
2010	—	`conf`	Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images. Virtual Colonoscopy and Abdominal Imaging Zhuoshi Wei, Jianhua Yao, Shijun Wang, Ronald M. Summers
2009	B	`conf`	A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography. IJCNN Shijun Wang, Ronald M. Summers, Changshui Zhang
2009	—	`conf`	Anatomical Variability of Organs Via Principal Factor Analysis from the Construction of an Abdominal Probabilistic Atlas. ISBI Mauricio Reyes, Miguel Ángel González Ballester, Zhixi Li, Nina Kozic, See Chin, Ronald M. Summers, Marius George Linguraru
2009	—	`conf`	Atlas-Based Automated Segmentation of Spleen and Liver Using Adaptive Enhancement Estimation. MICCAI (1) Marius George Linguraru, Jesse K. Sandberg, Zhixi Li, John A. Pura, Ronald M. Summers
2009	—	`conf`	Centerline Registration of Prone and Supine CT Colonography Scans Based on Correlation Optimized Warping and Anatomical Landmarks. ISBI Shijun Wang, Jianhua Yao, Jiamin Liu, Nicholas Petrick, Ronald M. Summers
2009	—	`conf`	Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming. Computer-Aided Diagnosis Shijun Wang, Jianhua Yao, Nicholas A. Petrick, Ronald M. Summers
2009	—	`conf`	Computer Aided Evaluation of Pleural Effusion Using Chest CT Images. ISBI Jianhua Yao, Wei Han, Ronald M. Summers
2009	B	`conf`	Employing anatomical knowledge in vertebral column labeling. Image Processing Jianhua Yao, Ronald M. Summers
2009	J	`jnl`	Employing topographical height map in colonic polyp measurement and false positive reduction. Pattern Recognit. Jianhua Yao, Jiang Li, Ronald M. Summers
2009	—	`conf`	High-performance computer aided detection system for polyp detection in CT colonography with fluid and fecal tagging. Computer-Aided Diagnosis Jiamin Liu, Shijun Wang, Suraj Kabadi, Ronald M. Summers
2009	—	`conf`	Reducing the False Positive Rate of Computer Aided Detection for CT Colonography Using Content Based Image Retrieval. ISBI Javed M. Aman, Jianhua Yao, Ronald M. Summers
2009	—	`conf`	Renal Tumor Quantification and Classification in Triple-Phase Contrast-Enhanced Abdominal CT. ISBI Marius George Linguraru, Rabindra Gautam, James Peterson, Jianhua Yao, W. Marston Linehan, Ronald M. Summers
2009	J	`jnl`	Renal tumor quantification and classification in contrast-enhanced abdominal CT. Pattern Recognit. Marius George Linguraru, Jianhua Yao, Rabindra Gautam, James Peterson, Zhixi Li, W. Marston Linehan, Ronald M. Summers
2009	—	`conf`	Statistical Location Model for Abdominal Organ Localization. MICCAI (1) Jianhua Yao, Ronald M. Summers
2009	—	`conf`	Two methods of Haustral fold detection from computed tomographic virtual colonoscopy images. Computer-Aided Diagnosis Ananda S. Chowdhury, Sovira Tan, Jianhua Yao, Marius George Linguraru, Ronald M. Summers
2008	—	`conf`	Acetabular rim and surface segmentation for hip surgery planning and dysplasia evaluation. Image-Guided Procedures Sovira Tan, Jianhua Yao, Lawrence Yao, Ronald M. Summers, Michael M. Ward
2008	—	`conf`	Automated matching of supine and prone colonic polyps based on PCA and SVMs. Computer-Aided Diagnosis Shijun Wang, Robert L. Van Uitert Jr., Ronald M. Summers
2008	J	`jnl`	Computer Aided Evaluation of Ankylosing Spondylitis Using High-Resolution CT. IEEE Trans. Medical Imaging Sovira Tan, Jianhua Yao, Michael M. Ward, Lawrence Yao, Ronald M. Summers
2008	—	`conf`	DMLLE: a large-scale dimensionality reduction method for detection of polyps in CT colonography. Computer-Aided Diagnosis Shijun Wang, Jianhua Yao, Ronald M. Summers
2008	B	`conf`	Detection of anatomical landmarks in human colon from computed tomographic colonography images. ICPR Ananda S. Chowdhury, Jianhua Yao, Robert L. Van Uitert Jr., Marius George Linguraru, Ronald M. Summers
2008	B	`conf`	Matching colonic polyps from prone and supine CT colonography scans based on statistical curvature information. ICPR Shijun Wang, Jianhua Yao, Ronald M. Summers
2008	—	`conf`	Multi-organ automatic segmentation in 4D contrast-enhanced abdominal CT. ISBI Marius George Linguraru, Ronald M. Summers
2008	B	`conf`	Vertebral surface registration using ridgelines/crestlines. Image Processing Sovira Tan, Jianhua Yao, Lawrence Yao, Ronald M. Summers, Michael M. Ward
2007	—	`conf`	3D Multi-Scale Level Set Segmentation of Vertebrae. ISBI Sovira Tan, Jianhua Yao, Michael M. Ward, Lawrence Yao, Ronald M. Summers
2007	J	`jnl`	Automatic Correction of Level Set Based Subvoxel Precise Centerlines for Virtual Colonoscopy Using the Colon Outer Wall. IEEE Trans. Medical Imaging Robert L. Van Uitert Jr., Ronald M. Summers
2007	—	`conf`	CT Colonography Computer-Aided Polyp Detection using Topographical Height Map. ICIP (5) Jianhua Yao, Jiang Li, Ronald M. Summers
2007	—	`conf`	Collaborative classifiers in CT colonography CAD. Computer-Aided Diagnosis Jianhua Yao, Jiang Li, Ronald M. Summers
2007	—	`conf`	Computer Aided Detection of Lytic Bone Metastases in the Spine Using Routine CT Images. ISBI Jianhua Yao, Stacy D. O'Connor, Ronald M. Summers
2007	—	`conf`	Computer-Aided Detection of Colonic Diverticular Disease. ISBI Robert L. Van Uitert Jr., Jiang Li, Ronald M. Summers
2007	—	`conf`	Current Concepts in Computer-Aided Detection for Ct Colonography. ISBI Ronald M. Summers
2007	—	`conf`	Detection and Segmentation of Colonic Polyps on Haustral Folds. ISBI Jianhua Yao, Ronald M. Summers
2007	—	`conf`	Intra-patient colon surface registration based on tæniæ coli. Computer-Aided Diagnosis Julien Lamy, Ronald M. Summers
2007	B	`conf`	Level sets on non-planar manifolds for ridge detection on isosurfaces. Image Processing Sovira Tan, Jianhua Yao, Michael M. Ward, Lawrence Yao, Ronald M. Summers
2007	—	`conf`	Teniæ Coli Detection from Colon Surface: Extraction of Anatomical Markers for Virtual Colonoscopy. ISVC (1) Julien Lamy, Ronald M. Summers
2007	—	`conf`	Using Pareto fronts to evaluate polyp detection algorithms for CT colonography. Computer-Aided Diagnosis Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara
2007	—	`conf`	Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography. Computer-Aided Diagnosis Jiang Li, Adam Huang, Nicholas Petrick, Jianhua Yao, Ronald M. Summers
2006	J	`jnl`	An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection. Int. J. Artif. Intell. Tools Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas Petrick, Michael T. Manry, Amy K. Hara
2006	B	`conf`	Asymmetric Affinity in Fuzzy Connectedness Segmentation for Oral Contrast-Enhances CT Colonography. CBMS Marek Franaszek, Ronald M. Summers
2006	—	`conf`	Automated spinal column extraction and partitioning. ISBI Jianhua Yao, Stacy D. O'Connor, Ronald M. Summers
2006	B	`conf`	Automatic colonic polyp detection using multi-objective evolutionary techniques. Image Processing Jiang Li, Adam Huang, Jianhua Yao, Ingmar Bitter, Nicholas Petrick, Ronald M. Summers, Perry J. Pickhardt, J. Richard Choi
2006	—	`conf`	Automatic correction of level set based subvoxel accurate centerlines for virtual colonoscopy. ISBI Robert L. Van Uitert Jr., Ingmar Bitter, Marek Franaszek, Ronald M. Summers
2006	—	`conf`	Computer aided evaluation of ankylosing spondylitis. ISBI Sovira Tan, Jianhua Yao, Michael M. Ward, Lawrence Yao, Ronald M. Summers
2006	B	`conf`	Computer aided lytic bone metastasis detection using regular CT images. Image Processing Jianhua Yao, Stacy D. O'Connor, Ronald M. Summers
2006	—	`conf`	Detection of Colon Wall Outer Boundary and Segmentation of the Colon Wall Based on Level Set Methods. EMBC Robert L. Van Uitert Jr., Ingmar Bitter, Ronald M. Summers
2006	B	`conf`	Hybrid committee classifier for a computerized colonic polyp detection system. Image Processing Jiang Li, Jianhua Yao, Nicholas Petrick, Ronald M. Summers, Amy K. Hara
2006	J	`jnl`	Hybrid segmentation of colon filled with air and opacified fluid for CT colonography. IEEE Trans. Medical Imaging Marek Franaszek, Ronald M. Summers, Perry J. Pickhardt, J. Richard Choi
2006	B	`conf`	Level set based vertebra segmentation for the evaluation of Ankylosing Spondylitis. Image Processing Sovira Tan, Jianhua Yao, Michael M. Ward, Lawrence Yao, Ronald M. Summers
2006	J	`jnl`	Virtual Contrast for Coronary Vessels Based on Level Set Generated Subvoxel Accurate Centerlines. Int. J. Biomed. Imaging Ingmar Bitter, Robert L. Van Uitert Jr., Ivo Wolf, Efstathia Tzatha, Ahmed M. Gharib, Ronald M. Summers, Hans-Peter Meinzer, Roderic I. Pettigrew
2006	—	`conf`	Wavelet method for CT colonography computer-aided polyp detection. ISBI Jiang Li, Marek Franaszek, Nicholas Petrick, Jianhua Yao, Adam Huang, Ronald M. Summers
2005	Misc	`conf`	An Efficient Feature Selection Algorithm for Computer-Aided Polyp Detection. FLAIRS Jiang Li, Jianhua Yao, Ronald M. Summers, Amy K. Hara
2005	A	`conf`	Teniae Coli Guided Navigation and Registration for Virtual Colonoscopy. IEEE Visualization Adam Huang, Dave Roy, Marek Franaszek, Ronald M. Summers
2004	—	`conf`	Analysis of kernel method for surface curvature estimation. CARS Shannon R. Campbell, Ronald M. Summers
2004	J	`jnl`	Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models. IEEE Trans. Medical Imaging Jianhua Yao, Meghan Miller, Marek Franaszek, Ronald M. Summers
2004	J	`jnl`	Introduction to the special section on virtual endoscopy. IEEE Trans. Medical Imaging Jerome Zhengrong Liang, William E. Higgins, Ronald M. Summers, Hiro Yoshida
2004	J	`jnl`	Tracheal and central bronchial aerodynamics using virtual bronchoscopy and computational fluid dynamics. IEEE Trans. Medical Imaging Juan R. Cebral, Ronald M. Summers
2003	—	`conf`	Computer aided polyp detection in CT colonography using an ensemble of support vector machines. CARS Anna K. Jerebko, James D. Malley, Marek Franaszek, Ronald M. Summers
2002	—	`conf`	Multi network classification scheme for detection of colonic polyps in CT colonography data sets. ISBI Anna K. Jerebko, James D. Malley, Marek Franaszek, Ronald M. Summers
2001	—	`conf`	An integrated system for computer-aided diagnosis in CT colonography: work in progress. CARS Ronald M. Summers, Anna K. Jerebko, Marek Franaszek, James D. Malley
2001	—	`conf`	Confocal volume rendering of the thorax. ICIP (2) Ronald M. Summers, R. Mullick, S. E. Finkelstein, D. S. Schrump
2001	—	`conf`	Helical CT of von Hippel-Lindau: semi-automated segmentation of renal lesions. ICIP (2) Ronald M. Summers, Cecily M. L. Agcaoili, Matthew J. McAuliffe, Sarang S. Dalal, Peter J. Yim, Peter L. Choyke, McClellan M. Walther, W. Marston Linehan
2000	J	`jnl`	Grey-Scale Skeletonization of Small Vessels in Magnetic Resonance Angiography. IEEE Trans. Medical Imaging Peter J. Yim, Peter L. Choyke, Ronald M. Summers
1998	B	`conf`	Automatic detection of endobronchial lesions using virtual bronchoscopy: comparison of two methods. Image Processing Ronald M. Summers, Lynne M. Pusanik, James D. Malley