Jianming Liang

119 papers A* 10A 6B 1C 1Journal 66Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ark + : Supervised training a single high-performance AI foundation model from many differently labeled datasets - no label consolidation required. Medical Image Anal. Dongao Ma, Jiaxuan Pang, Shivasakthi Senthil Velan, Michael B. Gotway, Jianming Liang
2026	J	`jnl`	Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development. CoRR Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Yinghao Zhu, Shujian Gao, Yanyan Huang, Sibo Ju, Yanzhou Su, Pengcheng Chen, Wenhao Tang, Tianbin Li, Haoyu Wang, Yuanfeng Ji, Hui Sun, Shaobo Min, Liang Peng, Feilong Tang, Haochen Xue, Rulin Zhou, Chaoyang Zhang, Wenjie Li, Shaohao Rui, Weijie Ma, Xingyue Zhao, Yibin Wang, Kun Yuan, Zhaohui Lu, Shujun Wang, Jinjie Wei, Lihao Liu, Dingkang Yang, Lin Wang, Yulong Li, Haolin Yang, Yiqing Shen, Lequan Yu, Xiaowei Hu, Yun Gu, Yicheng Wu, Benyou Wang, Minghui Zhang, Angelica I. Aviles-Rivero, Qi Gao, Hongming Shan, Xiaoyu Ren, Fang Yan, Hongyu Zhou, Haodong Duan, Maosong Cao, Shanshan Wang, Bin Fu, Xiaomeng Li, Zhi Hou, Chunfeng Song, Lei Bai, Yuan Cheng, Yuandong Pu, Xiang Li, Wenhai Wang, Hao Chen, Jiaxin Zhuang, Songyang Zhang, Huiguang He, Mengzhang Li, Bohan Zhuang, Zhian Bai, Rongshan Yu, Liansheng Wang, Yukun Zhou, Xiaosong Wang, Xin Guo, Guanbin Li, Xiangru Lin, Dakai Jin, Mianxin Liu, Wenlong Zhang, Qi Qin, Conghui He, Yuqiang Li, Ye Luo, Nanqing Dong, Jie Xu, Wenqi Shao, Bo Zhang, Qiujuan Yan, Yihao Liu, Jun Ma, Zhi Lu, Yuewen Cao, Zongwei Zhou, Jianming Liang, Shixiang Tang, Qi Duan, et al.
2025	J	`jnl`	A fully open AI foundation model applied to chest radiography. Nat. Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
2025	A	`conf`	ACE: Anatomically Consistent Embeddings in Composition and Decomposition. WACV Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2025	J	`jnl`	ACE: Anatomically Consistent Embeddings in Composition and Decomposition. CoRR Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2025	—	`conf`	Cross-Modal Knowledge Distillation for Chest Radiographic Diagnosis via Embedding Expansion, Reconstruction, and Classification. MedAGI Dongao Ma, Jiaxuan Pang, Ziyu Zhou, Michael B. Gotway, Jianming Liang
2025	J	`jnl`	DermINO: Hybrid Pretraining for a Versatile Dermatology Foundation Model. CoRR Jingkai Xu, De Cheng, Xiangqian Zhao, Jungang Yang, Zilong Wang, Xinyang Jiang, Xufang Luo, Lili Chen, Xiaoli Ning, Chengxu Li, Xinzhu Zhou, Xuejiao Song, Ang Li, Qingyue Xia, Zhou Zhuang, Hongfei Ouyang, Ke Xue, Yujun Sheng, Rusong Meng, Feng Xu, Xi Yang, Weimin Ma, Yusheng Lee, Dongsheng Li, Xinbo Gao, Jianming Liang, Lili Qiu, Nannan Wang, Xianbo Zuo, Cui Yong
2025	A	`conf`	Foundation X: Integrating Classification, Localization, and Segmentation Through Lock-Release Pretraining Strategy for Chest X-Ray Analysis. WACV Nahid Ul Islam, Dongao Ma, Jiaxuan Pang, Shivasakthi Senthil Velan, Michael B. Gotway, Jianming Liang
2025	J	`jnl`	Foundation X: Integrating Classification, Localization, and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray Analysis. CoRR Nahid Ul Islam, Dongao Ma, Jiaxuan Pang, Shivasakthi Senthil Velan, Michael B. Gotway, Jianming Liang
2025	J	`jnl`	Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs. CoRR Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2025	A	`conf`	Learning Anatomy-Disease Entangled Representation. WACV Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
2025	J	`jnl`	POPAR: Patch Order Prediction and Appearance Recovery for self-supervised learning in chest radiography. Medical Image Anal. Jiaxuan Pang, Dongao Ma, Ziyu Zhou, Michael B. Gotway, Jianming Liang
2025	—	`conf`	💡💡💡 Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs. MedAGI Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2024	—	`conf`	ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-Grained Appearance for CT Images. MICCAI (11) Jiaxuan Pang, Dongao Ma, Ziyu Zhou, Michael B. Gotway, Jianming Liang
2024	J	`jnl`	Editorial: Segmentation and classification: theories, algorithms and applications. Frontiers Comput. Sci. Xiaohao Cai, Youwei Wen, Jianming Liang
2024	A*	`conf`	Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision. CVPR Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2024	J	`jnl`	Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision. CoRR Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2024	J	`jnl`	Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism. Medical Image Anal. Nahid Ul Islam, Zongwei Zhou, Shiv Gehlot, Michael B. Gotway, Jianming Liang
2024	J	`jnl`	Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial? Medical Image Anal. Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2024	J	`jnl`	Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning. Medical Image Anal. Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang
2023	—	`conf`	Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. MICCAI (1) Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
2023	J	`jnl`	Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. CoRR Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
2023	A	`conf`	Learning Anatomically Consistent Embedding for Chest Radiography. BMVC Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2023	J	`jnl`	Learning Anatomically Consistent Embedding for Chest Radiography. CoRR Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2023	J	`jnl`	Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision. CoRR Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2023	—	`conf`	Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision. DART@MICCAI Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2023	A	`conf`	TraceStream: Anomalous Service Localization based on Trace Stream Clustering with Online Feedback. ISSRE Tong Zhou, Chenxi Zhang, Xin Peng, Zhenghui Yan, Pairui Li, Jianming Liang, Haibing Zheng, Wujie Zheng, Yuetang Deng
2022	—	`conf`	Benchmarking and Boosting Transformers for Medical Image Classification. DART@MICCAI Dongao Ma, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Nahid Ul Islam, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
2022	—	`conf`	CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging. MIDL Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
2022	J	`jnl`	CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging. CoRR Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
2022	A*	`conf`	DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. CVPR Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2022	J	`jnl`	DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. CoRR Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2022	—	`conf`	Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining. DART@MICCAI Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang
2022	J	`jnl`	Large-batch Optimization for Dense Visual Predictions. CoRR Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo
2022	A*	`conf`	Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes. NeurIPS Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo
2022	—	`conf`	POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis. DART@MICCAI Jiaxuan Pang, Fatemeh Haghighi, Dongao Ma, Nahid Ul Islam, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2022	—	`conf`	Unifying Visual Perception by Dispersible Points Learning. ECCV (9) Jianming Liang, Guanglu Song, Biao Leng, Yu Liu
2022	J	`jnl`	Unifying Visual Perception by Dispersible Points Learning. CoRR Jianming Liang, Guanglu Song, Biao Leng, Yu Liu
2021	—	`conf`	A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. DART/FAIR@MICCAI Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
2021	J	`jnl`	A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. CoRR Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
2021	J	`jnl`	Active, continual fine tuning of convolutional neural networks for reducing annotation efforts. Medical Image Anal. Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
2021	J	`jnl`	Efficient Weakly-Supervised Object Detection With Pseudo Annotations. IEEE Access Qingsheng Yuan, Gang Sun, Jianming Liang, Biao Leng
2021	J	`jnl`	Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging. IEEE Trans. Medical Imaging Nima Tajbakhsh, Holger Roth, Demetri Terzopoulos, Jianming Liang
2021	J	`jnl`	Models Genesis. Medical Image Anal. Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
2021	—	`conf`	Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. MLMI@MICCAI Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2021	J	`jnl`	Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. CoRR Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2021	J	`jnl`	Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning. IEEE Trans. Medical Imaging Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2021	J	`jnl`	Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning. CoRR Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2020	J	`jnl`	Analyzing the Influence of Urban Street Greening and Street Buildings on Summertime Air Pollution Based on Street View Image Data. ISPRS Int. J. Geo Inf. Dong Wu, Jianhua Gong, Jianming Liang, Jin Sun, Guoyong Zhang
2020	J	`jnl`	Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). CoRR Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López, Carlos Cano-Espinosa, Miguel Cazorla, Tanya Agarwal, Vinit Agarwal, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang, Mojtaba Masoudi, Noushin Eftekhari, Mahdi Saadatmand Tarzjan, Hamid-Reza Pourreza, Patricia Fraga-Rivas, Eduardo Fraile Moreno, Frank J. Rybicki, Ara Kassarjian, Raúl San José Estépar, María J. Ledesma-Carbayo
2020	—	`conf`	Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration. MICCAI (1) Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2020	J	`jnl`	Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration. CoRR Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2020	J	`jnl`	Models Genesis. CoRR Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
2020	—	`conf`	Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. DART/DCL@MICCAI Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2020	J	`jnl`	Solar3D: An Open-Source Tool for Estimating Solar Radiation in Urban Environments. ISPRS Int. J. Geo Inf. Jianming Liang, Jianhua Gong, Xiuping Xie, Jun Sun
2020	J	`jnl`	UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. IEEE Trans. Medical Imaging Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
2019	J	`jnl`	Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation. Medical Image Anal. Nima Tajbakhsh, Jae Y. Shin, Michael B. Gotway, Jianming Liang
2019	J	`jnl`	Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation. J. Digit. Imaging Zongwei Zhou, Jae Y. Shin, Ruibin Feng, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
2019	A*	`conf`	Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. ICCV Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
2019	J	`jnl`	Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. CoRR Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
2019	—	`conf`	Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. MICCAI (4) Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
2019	J	`jnl`	Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. CoRR Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
2019	—	`conf`	Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. ISBI Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding
2019	J	`jnl`	Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. CoRR Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding
2019	J	`jnl`	UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. CoRR Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
2019	A*	`conf`	iFeedback: Exploiting User Feedback for Real-Time Issue Detection in Large-Scale Online Service Systems. ASE Wujie Zheng, Haochuan Lu, Yangfan Zhou, Jianming Liang, Haibing Zheng, Yuetang Deng
2018	J	`jnl`	A Heterogeneous Distributed Virtual Geographic Environment - Potential Application in Spatiotemporal Behavior Experiments. ISPRS Int. J. Geo Inf. Shen Shen, Jianhua Gong, Jianming Liang, Wenhang Li, Dong Zhang, Lin Huang, Guoyong Zhang
2018	J	`jnl`	AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts. CoRR Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
2018	J	`jnl`	Introduction to the Special Issue: "State-of-the-Art Virtual/Augmented Reality and 3D Modeling Techniques for Virtual Urban Geographic Experiments". ISPRS Int. J. Geo Inf. Jianming Liang, Jianhua Gong, Yu Liu
2018	J	`jnl`	Social Force Model-Based Group Behavior Simulation in Virtual Geographic Environments. ISPRS Int. J. Geo Inf. Lin Huang, Jianhua Gong, Wenhang Li, Tao Xu, Shen Shen, Jianming Liang, Quanlong Feng, Dong Zhang, Jun Sun
2018	—	`conf`	UNet++: A Nested U-Net Architecture for Medical Image Segmentation. DLMIA/ML-CDS@MICCAI Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
2018	J	`jnl`	UNet++: A Nested U-Net Architecture for Medical Image Segmentation. CoRR Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
2018	J	`jnl`	Winter wheat mapping using a random forest classifier combined with multi-temporal and multi-sensor data. Int. J. Digit. Earth Jiantao Liu, Quanlong Feng, Jianhua Gong, Jieping Zhou, Jianming Liang, Yi Li
2017	J	`jnl`	A Sparse Voxel Octree-Based Framework for Computing Solar Radiation Using 3D City Models. ISPRS Int. J. Geo Inf. Jianming Liang, Jianhua Gong
2017	J	`jnl`	A quantitative method for storm surge vulnerability assessment - a case study of Weihai city. Int. J. Digit. Earth Jin Liu, Jianhua Gong, Jianming Liang, Yi Li, Lin-Chong Kang, Li-li Song, Sui-Xiang Shi
2017	—	`ch.`	Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural Networks. Deep Learning for Medical Image Analysis Nima Tajbakhsh, Jae Y. Shin, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
2017	J	`jnl`	Automatic Sky View Factor Estimation from Street View Photographs - A Big Data Approach. Remote. Sens. Jianming Liang, Jianhua Gong, Jun Sun, Jieping Zhou, Wenhang Li, Yi Li, Jin Liu, Shen Shen
2017	B	`conf`	Automatic polyp detection in colonoscopy videos. Image Processing Zijie Yuan, Mohammadhassan Izadyyazdanabadi, Divya Mokkapati, Rujuta Panvalkar, Jae Y. Shin, Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
2017	J	`jnl`	Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks. CoRR Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
2017	J	`jnl`	Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge. IEEE Trans. Medical Imaging Jorge Bernal, Nima Tajkbaksh, Francisco Javier Sánchez, Bogdan J. Matuszewski, Hao Chen, Lequan Yu, Quentin Angermann, Olivier Romain, Bjorn Rustad, Ilangko Balasingham, Konstantin Pogorelov, Sungbin Choi, Quentin Debard, Lena Maier-Hein, Stefanie Speidel, Danail Stoyanov, Patrick Brandao, Henry Córdova, Cristina Sánchez-Montes, Suryakanth R. Gurudu, Gloria Fernández-Esparrach, Xavier Dray, Jianming Liang, Aymeric Histace
2017	J	`jnl`	Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? CoRR Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
2017	J	`jnl`	Embedding user-generated content into oblique airborne photogrammetry-based 3D city model. Int. J. Geogr. Inf. Sci. Jianming Liang, Shen Shen, Jianhua Gong, Jin Liu, Jinming Zhang
2017	A*	`conf`	Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally. CVPR Zongwei Zhou, Jae Y. Shin, Lei Zhang, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
2017	—	`ch.`	On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
2016	J	`jnl`	Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information. IEEE Trans. Medical Imaging Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
2016	A*	`conf`	Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks. CVPR Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
2016	J	`jnl`	Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? IEEE Trans. Medical Imaging Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
2016	J	`jnl`	Generating Orthorectified Multi-Perspective 2.5D Maps to Facilitate Web GIS-Based Visualization and Exploitation of Massive 3D City Models. ISPRS Int. J. Geo Inf. Jianming Liang, Jianhua Gong, Jin Liu, Yuling Zou, Jinming Zhang, Jun Sun, Shuisen Chen
2015	—	`conf`	A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos. IPMI Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
2015	J	`jnl`	An open-source 3D solar radiation model integrated with a 3D Geographic Information System. Environ. Model. Softw. Jianming Liang, Jianhua Gong, Jieping Zhou, Ibrahim Abdoul Nasser, Ming Li
2015	—	`conf`	Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks. ISBI Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
2015	—	`conf`	Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks. MICCAI (2) Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
2015	J	`jnl`	Real-time flood simulations using CA model driven by dynamic observation data. Int. J. Geogr. Inf. Sci. Yi Li, Jianhua Gong, Heng Liu, Jun Zhu, Yiquan Song, Jianming Liang
2015	J	`jnl`	Realistic rendering for physically based shallow water simulation in Virtual Geographic Environments (VGEs). Ann. GIS Jianming Liang, Jianhua Gong, Yi Li
2014	J	`jnl`	A visualization-oriented 3D method for efficient computation of urban solar radiation based on 3D-2D surface mapping. Int. J. Geogr. Inf. Sci. Jianming Liang, Jianhua Gong, Wenhang Li, Ibrahim Abdoul Nasser
2014	—	`conf`	Automatic Assessment of Image Informativeness in Colonoscopy. ABDI@MICCAI Nima Tajbakhsh, Changching Chi, Haripriya Sharma, Qing Wu, Suryakanth R. Gurudu, Jianming Liang
2014	—	`conf`	Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns. MICCAI (2) Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
2014	—	`conf`	Automatic polyp detection from learned boundaries. ISBI Nima Tajbakhsh, Changching Chi, Suryakanth R. Gurudu, Jianming Liang
2014	J	`jnl`	Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. Medical Image Anal. Rina Dewi Rudyanto, Sjoerd Kerkstra, Eva M. van Rikxoort, Catalin I. Fetita, Pierre-Yves Brillet, Christophe Lefevre, Wenzhe Xue, Xiangjun Zhu, Jianming Liang, Ilkay Öksüz, Devrim Ünay, Kamuran Kadipasaoglu, Raúl San José Estépar, James C. Ross, George R. Washko, Juan-Carlos Prieto, Marcela Hernández Hoyos, Maciej Orkisz, Hans Meine, Markus Hüllebrand, Christina Stöcker, Fernando López-Mir, Valery Naranjo, Eliseo Villanueva, Marius Staring, Changyan Xiao, Berend C. Stoel, Anna Fabijanska, Erik Smistad
2014	J	`jnl`	Visualizing 3D atmospheric data with spherical volume texture on virtual globes. Comput. Geosci. Jianming Liang, Jianhua Gong, Wenhang Li, Ibrahim Abdoul Nasser
2013	—	`conf`	A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps. Abdominal Imaging Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
2013	J	`jnl`	A novel online boosting algorithm for automatic anatomy detection. Mach. Vis. Appl. Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Michael B. Gotway, Jianming Liang
2012	—	`conf`	Self-adaptive asymmetric on-line boosting for detecting anatomical structures. Computer-Aided Diagnosis Hong Wu, Nima Tajbakhsh, Wenzhe Xue, Jianming Liang
2011	—	`conf`	Automated Detection of Major Thoracic Structures with a Novel Online Learning Method. MLMI Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Jianming Liang
2011	—	`conf`	Machine learning-based automatic detection of pulmonary trunk. Computer-Aided Diagnosis Hong Wu, Kun Deng, Jianming Liang
2009	—	`conf`	A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. MICCAI (1) Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar, Jinbo Bi, Marcos Salganicoff
2009	—	`conf`	Physical priors in virtual colonoscopy. Computer-Aided Diagnosis Hassan Rivaz, Yoshihisa Shinagawa, Jianming Liang
2008	A*	`conf`	Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model. CVPR Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Marcos Salganicoff, Dorin Comaniciu
2008	—	`conf`	Reduction of lymph tissue false positives in pulmonary embolism detection. Computer-Aided Diagnosis Bernard Ghanem, Jianming Liang, Jinbo Bi, Marcos Salganicoff, Arun Krishnan
2008	—	`conf`	Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography. ECCV (4) Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu
2007	—	`conf`	Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography. IPMI Jianming Liang, Jinbo Bi
2007	A*	`conf`	Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure. CVPR Jinbo Bi, Jianming Liang
2006	J	`jnl`	On the medical frontier: the 2006 KDD Cup competition and results. SIGKDD Explor. Terran Lane, R. Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff
2006	J	`jnl`	United Snakes. Medical Image Anal. Jianming Liang, Tim McInerney, Demetri Terzopoulos
2004	—	`conf`	CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening. CARS Pascal Cathier, Senthil Periaswamy, Anna K. Jerebko, Murat Dundar, Jianming Liang, Glenn Fung, Jonathan Stoeckel, T. Venkata, R. Amara, Arun Krishnan, R. Bharat Rao, Alok Gupta, E. Vega, Shaked Laks, A. Megibow, Michael Macari, Luca Bogoni
2003	J	`jnl`	Dynamic Chest Image Analysis: Model-Based Perfusion Analysis in Dynamic Pulmonary Imaging. EURASIP J. Adv. Signal Process. Jianming Liang, Timo Järvi, Aaro Kiuru, Martti Kormano, Erkki Svedström
1999	A	`conf`	Interactive Medical Image Segmentation with United Snakes. MICCAI Jianming Liang, Tim McInerney, Demetri Terzopoulos
1999	A*	`conf`	United Snakes. ICCV Jianming Liang, Tim McInerney, Demetri Terzopoulos
1994	C	`conf`	Causal Networks and Their Toolkit in KSE. IPMU Jianming Liang, Qinliang Ren, Zhuoqun Xu, Jiaqing Fang