Holger R. Roth

168 papers A* 6A 2B 7Misc 1Journal 87Unranked 62

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	End-to-End Spatiotemporal Analysis of Color Doppler Echocardiograms: Application for Rheumatic Heart Disease Detection. IEEE Trans. Medical Imaging Pooneh Roshanitabrizi, Vishwesh Nath, Kelsey Brown, Taylor Gloria Broudy, Zhifan Jiang, Abhijeet Parida, Joselyn Rwebembera, Emmy Okello, Andrea Z. Beaton, Holger R. Roth, Craig A. Sable, Marius George Linguraru
2026	J	`jnl`	FeTTL: Federated Template and Task Learning for Multi-Institutional Medical Imaging. CoRR Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, Ziyue Xu, Syed Muhammad Anwar, María J. Ledesma-Carbayo, Holger R. Roth, Marius George Linguraru
2026	J	`jnl`	LUMEN: Longitudinal Multi-Modal Radiology Model for Prognosis and Diagnosis. CoRR Zhifan Jiang, Dong Yang, Vishwesh Nath, Abhijeet Parida, Nishad Kulkarni, Ziyue Xu, Daguang Xu, Syed Muhammad Anwar, Holger R. Roth, Marius George Linguraru
2026	J	`jnl`	Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE. CoRR Holger R. Roth, Sarthak Tickoo, Mayank Kumar, Isaac Yang, Andrew Liu, Amit Varshney, Sayani Kundu, Iustina Vintila, Peter Madsgaard, Juraj Milcak, Chester Chen, Yan Cheng, Andrew Feng, Jeff Savio, Vikram Singh, Craig Stancill, Gloria Wan, Evan Powell, Anwar Ul Haq, Sudhir Upadhyay, Jisoo Lee
2026	J	`jnl`	Standardized Methods and Recommendations for Green Federated Learning. CoRR Austin Tapp, Holger R. Roth, Ziyue Xu, Abhijeet Parida, Hareem Nisar, Marius George Linguraru
2025	—	`conf`	Controllable Latent Diffusion-Based 3D Brain Tumor Segmentation: With Synthetic Label Generation and Detailed Variance Map. ISBI Xinyang Liu, Pengfei Guo, Daniel Capellán-Martín, Zhifan Jiang, Holger R. Roth, Austin Tapp, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru
2025	J	`jnl`	Deep Learning-Based Localization and Detection of Malpositioned Nasogastric Tubes on Portable Supine Chest X-Rays in Intensive Care and Emergency Medicine: A Multi-center Retrospective Study. J. Imaging Inform. Medicine Chih-Hung Wang, Tianyu Hwang, Yu-Sen Huang, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang, Chien-Hua Huang
2025	—	`conf`	KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity. ISBI Zhifan Jiang, Vishwesh Nath, Holger R. Roth, Abhijeet Parida, Nicholas Foreman, Michael J. Fisher, Roger J. Packer, Syed Muhammad Anwar, Robert A. Avery, Marius George Linguraru
2025	—	`conf`	Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming. FLLM Ziyue Xu, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025	J	`jnl`	Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming. CoRR Ziyue Xu, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025	J	`jnl`	Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning. CoRR Baris Askin, Holger R. Roth, Zhenyu Sun, Carlee Joe-Wong, Gauri Joshi, Ziyue Xu
2025	—	`conf`	Secure Federated XGBoost with CUDA-Accelerated Homomorphic Encryption via NVIDIA FLARE. CAI Ziyue Xu, Yuan-Ting Hsieh, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025	J	`jnl`	Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE. CoRR Ziyue Xu, Yuan-Ting Hsieh, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025	—	`conf`	Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases. MICCAI (2) Pooneh Roshanitabrizi, Pengfei Guo, Artur Arturi Aharonyan, Kelsey Brown, Taylor Gloria Broudy, Abhijeet Parida, Austin Tapp, Zhifan Jiang, Alison Tompsett, Joselyn Rwebembera, Emmy Okello, Andrea Z. Beaton, Holger R. Roth, Daguang Xu, Syed Muhammad Anwar, Craig A. Sable, Marius George Linguraru
2024	J	`jnl`	Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT. Int. J. Comput. Assist. Radiol. Surg. Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Gen Sato, Tadaaki Miyamoto, Daniel Rueckert, Kensaku Mori
2024	J	`jnl`	C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System. CoRR Parker Addison, Minh-Tuan H. Nguyen, Tomislav Medan, Jinali Shah, Mohammad T. Manzari, Brendan McElrone, Laksh Lalwani, Aboli More, Smita Sharma, Holger R. Roth, Isaac Yang, Chester Chen, Daguang Xu, Yan Cheng, Andrew Feng, Ziyue Xu
2024	—	`conf`	D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions. MedAGI@MICCAI Hareem Nisar, Syed Muhammad Anwar, Zhifan Jiang, Abhijeet Parida, Ramon Sánchez-Jacob, Vishwesh Nath, Holger R. Roth, Marius George Linguraru
2024	J	`jnl`	D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions. CoRR Hareem Nisar, Syed Muhammad Anwar, Zhifan Jiang, Abhijeet Parida, Vishwesh Nath, Holger R. Roth, Marius George Linguraru
2024	—	`conf`	Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. MLMI@MICCAI (2) Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, María J. Ledesma-Carbayo, Ziyue Xu, Syed Muhammed Anwar, Marius George Linguraru, Holger R. Roth
2024	J	`jnl`	Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. CoRR Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, María J. Ledesma-Carbayo, Ziyue Xu, Syed Muhammed Anwar, Marius George Linguraru, Holger R. Roth
2024	J	`jnl`	Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study. J. Medical Syst. Chih-Hung Wang, Tzu-Ching Lin, Guanru Chen, Meng-Rui Lee, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang, Chien-Hua Huang
2024	J	`jnl`	Deep Learning-based Diagnosis of Pulmonary Tuberculosis on Chest X-ray in the Emergency Department: A Retrospective Study. J. Imaging Inform. Medicine Chih-Hung Wang, Weishan Chang, Meng-Rui Lee, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang, Chien-Hua Huang
2024	J	`jnl`	Empowering Federated Learning for Massive Models with NVIDIA FLARE. CoRR Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng
2024	J	`jnl`	Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. CoRR Kendall Schmidt, Ben Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth
2024	J	`jnl`	Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Anal. Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth
2024	A*	`conf`	FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. ICML Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R. Roth
2024	A*	`conf`	Federated Black-box Prompt Tuning System for Large Language Models on the Edge. MobiCom Yiming Li, Jingwei Sun, Yudong Liu, Yuandong Zhang, Ang Li, Beidi Chen, Holger R. Roth, Daguang Xu, Tingjun Chen, Yiran Chen
2024	J	`jnl`	Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey. CoRR Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger R. Roth
2024	J	`jnl`	Federated Learning with Partially Labeled Data: A Conditional Distillation Approach. CoRR Pochuan Wang, Chen Shen, Masahiro Oda, Chiou-Shann Fuh, Kensaku Mori, Weichung Wang, Holger R. Roth
2024	A	`conf`	IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. WACV Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R. Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao
2024	J	`jnl`	MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. Medical Image Anal. Andres Diaz-Pinto, Sachidanand Alle, Vishwesh Nath, Yucheng Tang, Alvin Ihsani, Muhammad Asad, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Mona Flores, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso
2024	—	`conf`	Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion. MICCAI (3) Austin Tapp, Can Zhao, Holger R. Roth, Jeffrey Tanedo, Syed Muhammad Anwar, Niall J. Bourke, Joseph V. Hajnal, Victoria Nankabirwa, Sean C. L. Deoni, Natasha Leporé, Marius George Linguraru
2024	J	`jnl`	Supercharging Federated Learning with Flower and NVIDIA FLARE. CoRR Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng
2024	J	`jnl`	Toward a tipping point in federated learning in healthcare and life sciences. Patterns Inken Hagestedt, Ian Hales, Eric Boernert, Holger R. Roth, Michael A. Hoeh, Robin Roehm, Ellie Dobson, José Tomás Prieto
2024	—	`conf`	Uncertainty-Driven Rheumatic Heart Disease Detection through Active Learning. ISBI Pooneh Roshanitabrizi, Vishwesh Nath, Kelsey Brown, Alison Tompsett, Joselyn Rwebembera, Emmy Okello, Andrea Z. Beaton, Holger R. Roth, Craig A. Sable, Marius George Linguraru
2023	J	`jnl`	Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes. Health Informatics J. Malhar Patel, Ittai Dayan, Elliot K. Fishman, Mona Flores, Fiona J. Gilbert, Michal Guindy, Eugene J. Koay, Michael Rosenthal, Holger R. Roth, Marius George Linguraru
2023	—	`conf`	Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data. ISBI Xinyang Liu, Erin R. Bonner, Zhifan Jiang, Holger R. Roth, Syed Muhammad Anwar, Roger J. Packer, Miriam Bornhorst, Marius George Linguraru
2023	—	`conf`	Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging. EMBC Zhifan Jiang, Abhijeet Parida, Syed Muhammad Anwar, Yucheng Tang, Holger R. Roth, Michael J. Fisher, Roger J. Packer, Robert A. Avery, Marius George Linguraru
2023	A*	`conf`	Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. ICCV Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth
2023	J	`jnl`	Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. CoRR Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth
2023	—	`conf`	ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Pochuan Wang, Chen Shen, Weichung Wang, Masahiro Oda, Chiou-Shann Fuh, Kensaku Mori, Holger R. Roth
2023	J	`jnl`	ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data. CoRR Pochuan Wang, Chen Shen, Weichung Wang, Masahiro Oda, Chiou-Shann Fuh, Kensaku Mori, Holger R. Roth
2023	—	`conf`	DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. MICCAI (3) Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu
2023	J	`jnl`	DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. CoRR Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Do Gradient Inversion Attacks Make Federated Learning Unsafe? IEEE Trans. Medical Imaging Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
2023	A*	`conf`	Fair Federated Medical Image Segmentation via Client Contribution Estimation. CVPR Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu
2023	J	`jnl`	Fair Federated Medical Image Segmentation via Client Contribution Estimation. CoRR Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu
2023	J	`jnl`	FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. CoRR Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yiran Chen, Holger R. Roth
2023	—	`conf`	From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors. Computer-Aided Diagnosis Xinyang Liu, Erin R. Bonner, Zhifan Jiang, Holger R. Roth, Roger J. Packer, Miriam Bornhorst, Marius George Linguraru
2023	J	`jnl`	Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models. IEEE Trans. Medical Imaging Holger R. Roth, Nicola Rieke, Shadi Albarqouni, Quanzheng Li
2023	J	`jnl`	NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng
2023	—	`conf`	Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction. MIDL Tianyu Hwang, Chih-Hung Wang, Holger R. Roth, Dong Yang, Can Zhao, Chien-Hua Huang, Weichung Wang
2022	J	`jnl`	A cascaded fully convolutional network framework for dilated pancreatic duct segmentation. Int. J. Comput. Assist. Radiol. Surg. Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Tadaaki Miyamoto, Gen Sato, Kensaku Mori
2022	—	`conf`	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. ECCV (21) Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth
2022	J	`jnl`	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. CoRR Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth
2022	—	`conf`	Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. MICCAI (2) Ziyue Xu, Andriy Myronenko, Dong Yang, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu
2022	—	`conf`	DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. DALI@MICCAI Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Do Gradient Inversion Attacks Make Federated Learning Unsafe? CoRR Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
2022	B	`conf`	Effective hyperparameter optimization with proxy data for multi-organ segmentation. Image Processing Chen Shen, Holger R. Roth, Vishwesh Nath, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori
2022	—	`conf`	Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings. MICCAI (1) Pooneh R. Tabrizi, Holger R. Roth, Alison Tompsett, Athelia Rosa Paulli, Kelsey Brown, Joselyn Rwebembera, Emmy Okello, Andrea Z. Beaton, Craig Sable, Marius George Linguraru
2022	—	`conf`	Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning. DeCaF/FAIR@MICCAI Chen Shen, Pochuan Wang, Dong Yang, Daguang Xu, Masahiro Oda, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Chiou-Shann Fuh, Kensaku Mori, Weichung Wang, Holger R. Roth
2022	J	`jnl`	MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. CoRR Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso
2022	J	`jnl`	MONAI: An open-source framework for deep learning in healthcare. CoRR M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng
2022	J	`jnl`	NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng
2022	J	`jnl`	Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru
2022	A*	`conf`	Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CVPR Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh
2022	J	`jnl`	Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation. CoRR Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu
2022	—	`conf`	Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. DeCaF/FAIR@MICCAI Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu
2022	A	`conf`	UNETR: Transformers for 3D Medical Image Segmentation. WACV Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu
2022	J	`jnl`	Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning. CoRR Vishwesh Nath, Dong Yang, Holger R. Roth, Daguang Xu
2022	—	`conf`	Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning. MICCAI (8) Vishwesh Nath, Dong Yang, Holger R. Roth, Daguang Xu
2021	—	`conf`	Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. MICCAI (8) Andriy Myronenko, Ziyue Xu, Dong Yang, Holger R. Roth, Daguang Xu
2021	—	`conf`	Attention-Guided Pancreatic Duct Segmentation from Abdominal CT Volumes. CLIP/DCL/LL-COVID19/PPML@MICCAI Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Tadaaki Miyamoto, Gen Sato, Kensaku Mori
2021	J	`jnl`	Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth
2021	J	`jnl`	Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation. CoRR Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth
2021	—	`conf`	Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. MICCAI (3) Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
2021	J	`jnl`	Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. CoRR Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
2021	J	`jnl`	Federated learning improves site performance in multicenter deep learning without data sharing. J. Am. Medical Informatics Assoc. Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford, Holger R. Roth, Ziyue Xu, Jesse Tetreault, Daguang Xu, Mona G. Flores, Alex G. Raman, Rushikesh Kulkarni, Bradford J. Wood, Peter L. Choyke, Alan Priester, Leonard S. Marks, Steven S. Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W. Arnold
2021	J	`jnl`	Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
2021	J	`jnl`	Going to Extremes: Weakly Supervised Medical Image Segmentation. Mach. Learn. Knowl. Extr. Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
2021	—	`conf`	Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. CLIP/DCL/LL-COVID19/PPML@MICCAI Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku Mori
2021	J	`jnl`	Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. CoRR Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku Mori
2021	—	`conf`	Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. BrainLes@MICCAI (1) Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R. Roth, Daguang Xu
2021	A*	`conf`	T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. ICCV Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu
2021	J	`jnl`	T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. CoRR Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu
2021	—	`conf`	The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation. MICCAI (3) Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger R. Roth, Daguang Xu
2020	—	`conf`	Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. DART/DCL@MICCAI Pochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Kensaku Mori
2020	J	`jnl`	Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. CoRR Pochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Kensaku Mori
2020	J	`jnl`	Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks. CoRR Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori
2020	J	`jnl`	Colonoscope tracking method based on shape estimation network. CoRR Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Nassir Navab, Kensaku Mori
2020	—	`conf`	Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2020	J	`jnl`	Federated Learning for Breast Density Classification: A Real-World Implementation. CoRR Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2020	J	`jnl`	Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
2020	J	`jnl`	Going to Extremes: Weakly Supervised Medical Image Segmentation. CoRR Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
2020	B	`conf`	Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization. Image Processing Chen Shen, Chenglong Wang, Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
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`	Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset. Computer-Aided Diagnosis Yuichiro Hayashi, Chen Shen, Holger R. Roth, Masahiro Oda, Kazunari Misawa, Masahiro Jinzaki, Masahiro Hashimoto, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori
2019	J	`jnl`	Abdominal artery segmentation method from CT volumes using fully convolutional neural network. Int. J. Comput. Assist. Radiol. Surg. Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori
2019	—	`conf`	Colonoscope tracking method based on shape estimation network. Image-Guided Procedures Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Nassir Navab, Kensaku Mori
2019	B	`conf`	Improving V-Nets for multi-class abdominal organ segmentation. Image Processing Chen Shen, Fausto Milletari, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
2019	—	`conf`	Lung segmentation based on a deep learning approach for dynamic chest radiography. Computer-Aided Diagnosis Yuki Kitahara, Rie Tanaka, Holger R. Roth, Hirohisa Oda, Kensaku Mori, Kazuo Kasahara, Isao Matsumoto
2019	—	`conf`	Polyp-size classification with RGB-D features for colonoscopy. Computer-Aided Diagnosis Hayato Itoh, Holger R. Roth, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-Ei Kudo, Kensaku Mori
2019	J	`jnl`	Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams. CoRR Chenglong Wang, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Naoto Sassa, Momokazu Goto, Kensaku Mori
2019	J	`jnl`	Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams. Comput. Medical Imaging Graph. Chenglong Wang, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Naoto Sassa, Momokazu Goto, Kensaku Mori
2019	—	`conf`	Scanning, registration, and fiber estimation of rabbit hearts using micro-focus and refraction-contrast x-ray CT. Biomedical Applications in Molecular, Structural, and Functional Imaging Hirohisa Oda, Holger R. Roth, Takaaki Sugino, Naoki Sunaguchi, Noriko Usami, Masahiro Oda, Daisuke Shimao, Shu Ichihara, Tetsuya Yuasa, Masami Ando, Toshiaki Akita, Yuji Narita, Kensaku Mori
2019	—	`conf`	Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models. MICCAI (6) Takayasu Moriya, Hirohisa Oda, Midori Mitarai, Shota Nakamura, Holger R. Roth, Masahiro Oda, Kensaku Mori
2019	—	`conf`	Unsupervised segmentation of micro-CT images based on a hybrid of variational inference and adversarial learning. Biomedical Applications in Molecular, Structural, and Functional Imaging Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Masahiro Oda, Kensaku Mori
2018	J	`jnl`	3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation. CoRR Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Kenichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori
2018	—	`conf`	A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation. MICCAI (4) Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
2018	J	`jnl`	A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation. CoRR Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
2018	J	`jnl`	An application of cascaded 3D fully convolutional networks for medical image segmentation. Comput. Medical Imaging Graph. Holger R. Roth, Hirohisa Oda, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori
2018	J	`jnl`	An application of cascaded 3D fully convolutional networks for medical image segmentation. CoRR Holger R. Roth, Hirohisa Oda, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori
2018	—	`conf`	Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation. Biomedical Applications in Molecular, Structural, and Functional Imaging Takaaki Sugino, Holger R. Roth, Masahiro Oda, Seiji Omata, Shinya Sakuma, Fumihito Arai, Kensaku Mori
2018	—	`conf`	BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images. MICCAI (2) Hirohisa Oda, Holger R. Roth, Kosuke Chiba, Jure Sokolic, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Julia A. Schnabel, Kensaku Mori
2018	—	`conf`	Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks. MICCAI (4) Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori
2018	J	`jnl`	Deep learning and its application to medical image segmentation. CoRR Holger R. Roth, Chen Shen, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
2018	—	`conf`	Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images. Computer-Aided Diagnosis Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori
2018	—	`conf`	Fully Convolutional Network-Based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI Takaaki Sugino, Holger R. Roth, Masahiro Oda, Kensaku Mori
2018	J	`jnl`	On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks. CoRR Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
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	—	`conf`	Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning. MICCAI (2) Hayato Itoh, Holger R. Roth, Le Lu, Masahiro Oda, Masashi Misawa, Yuichi Mori, Shin-Ei Kudo, Kensaku Mori
2018	J	`jnl`	Unsupervised Pathology Image Segmentation Using Representation Learning with Spherical K-means. CoRR Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori
2018	J	`jnl`	Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning. CoRR Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori
2018	—	`conf`	Unsupervised pathology image segmentation using representation learning with spherical k-means. Digital Pathology Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori
2018	—	`conf`	Unsupervised segmentation of 3D medical images based on clustering and deep representation learning. Biomedical Applications in Molecular, Structural, and Functional Imaging Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori
2017	—	`conf`	3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation. DLMIA/ML-CDS@MICCAI Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Kenichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori
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	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`	Automatic segmentation of head anatomical structures from sparsely-annotated images. CBS Takaaki Sugino, Holger R. Roth, Mohammad Eshghi, Masahiro Oda, Min Suk Chung, Kensaku Mori
2017	J	`jnl`	Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project. CoRR Mohammad Eshghi, Holger R. Roth, Masahiro Oda, Min Suk Chung, Kensaku Mori
2017	Misc	`conf`	Comparison of the deep-learning-based automated segmentation methods for the head sectioned images of the virtual Korean human project. MVA Mohammad Eshghi, Holger R. Roth, Masahiro Oda, Min Suk Chung, Kensaku Mori
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	—	`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	—	`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`	Hierarchical 3D fully convolutional networks for multi-organ segmentation. CoRR Holger R. Roth, Hirohisa Oda, Yuichiro Hayashi, Masahiro Oda, Natsuki Shimizu, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori
2017	—	`conf`	Micro-CT Guided 3D Reconstruction of Histological Images. Patch-MI@MICCAI Kai Nagara, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Takayasu Moriya, Masahiro Oda, Kensaku Mori
2017	J	`jnl`	Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology. CoRR Holger R. Roth, Kai Nagara, Hirohisa Oda, Masahiro Oda, Tomoshi Sugiyama, Shota Nakamura, Kensaku Mori
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	—	`conf`	TBS: Tensor-Based Supervoxels for Unfolding the Heart. MICCAI (1) Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Julia A. Schnabel, Kensaku Mori
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	—	`conf`	Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network. MICCAI (2) Qier Meng, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Junji Ueno, Kensaku Mori
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	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	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`	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`	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
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	—	`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	J	`jnl`	Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study. CoRR Holger R. Roth, Thomas Hampshire, Emma Helbren, Mingxing Hu, Roser Vega, Steve Halligan, David J. Hawkes
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	—	`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	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	—	`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
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	—	`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`	Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study. Image-Guided Procedures Holger R. Roth, Thomas E. Hampshire, Emma Helbren, Mingxing Hu, Roser Vega, Steve Halligan, David J. Hawkes
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
2013	B	`conf`	CT colonography: inverse-consistent symmetric registration of prone and supine inner colon surfaces. Image Processing Holger R. Roth, Jamie R. McClelland, Marc Modat, Thomas Hampshire, Darren Boone, Emma Helbren, Andrew Plumb, Mingxing Hu, Sébastien Ourselin, Steve Halligan, David J. Hawkes