| 2025 | MICCAI | Cross-Modal Knowledge Distillation for Chest Radiographic Diagnosis via Embedding Expansion, Reconstruction, and Classification. | Dongao Ma, Jiaxuan Pang, Ziyu Zhou, Michael B. Gotway, Jianming Liang |
| 2025 | MICCAI | 💡💡💡 Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs. | Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang |
| 2025 | WACV | Learning Anatomy-Disease Entangled Representation. | Fatemeh Haghighi, Michael B. Gotway, Jianming Liang |
| 2025 | WACV | Foundation X: Integrating Classification, Localization, and Segmentation Through Lock-Release Pretraining Strategy for Chest X-Ray Analysis. | Nahid Ul Islam, Dongao Ma, Jiaxuan Pang, Shivasakthi Senthil Velan, Michael B. Gotway, Jianming Liang |
| 2025 | WACV | ACE: Anatomically Consistent Embeddings in Composition and Decomposition. | Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang |
| 2024 | CVPR | Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision. | Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang |
| 2024 | MICCAI | ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-Grained Appearance for CT Images. | Jiaxuan Pang, Dongao Ma, Ziyu Zhou, Michael B. Gotway, Jianming Liang |
| 2023 | BMVC | Learning Anatomically Consistent Embedding for Chest Radiography. | Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang |
| 2023 | ISSRE | TraceStream: Anomalous Service Localization based on Trace Stream Clustering with Online Feedback. | Tong Zhou, Chenxi Zhang, Xin Peng, Zhenghui Yan, Pairui Li, Jianming Liang, Haibing Zheng, Wujie Zheng, Yuetang Deng |
| 2023 | MICCAI | Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. | Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang |
| 2023 | MICCAI | Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision. | Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang |
| 2022 | CVPR | DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. | Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang |
| 2022 | ECCV | Unifying Visual Perception by Dispersible Points Learning. | Jianming Liang, Guanglu Song, Biao Leng, Yu Liu |
| 2022 | MICCAI | Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining. | Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang |
| 2022 | MICCAI | Benchmarking and Boosting Transformers for Medical Image Classification. | Dongao Ma, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Nahid Ul Islam, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang |
| 2022 | MICCAI | POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis. | Jiaxuan Pang, Fatemeh Haghighi, Dongao Ma, Nahid Ul Islam, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang |
| 2021 | MICCAI | Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. | Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang |
| 2021 | MICCAI | A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. | Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang |
| 2020 | MICCAI | Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. | Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang |
| 2020 | MICCAI | Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration. | Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang |
| 2019 | ICCV | Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. | Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang |
| 2019 | MICCAI | Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. | Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang |
| 2018 | MICCAI | UNet++: A Nested U-Net Architecture for Medical Image Segmentation. | Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang |
| 2017 | CVPR | Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally. | Zongwei Zhou, Jae Y. Shin, Lei Zhang, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang |
| 2016 | CVPR | Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks. | Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Jianming Liang |
| 2015 | MICCAI | Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks. | Nima Tajbakhsh, Michael B. Gotway, Jianming Liang |
| 2014 | MICCAI | Automatic Assessment of Image Informativeness in Colonoscopy. | Nima Tajbakhsh, Changching Chi, Haripriya Sharma, Qing Wu, Suryakanth R. Gurudu, Jianming Liang |
| 2014 | MICCAI | Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns. | Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang |
| 2013 | MICCAI | A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps. | Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang |
| 2011 | MICCAI | Automated Detection of Major Thoracic Structures with a Novel Online Learning Method. | Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Jianming Liang |
| 2009 | MICCAI | A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. | Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar, Jinbo Bi, Marcos Salganicoff |
| 2008 | CVPR | Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model. | Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Marcos Salganicoff, Dorin Comaniciu |
| 2008 | ECCV | Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography. | Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu |
| 2007 | CVPR | Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure. | Jinbo Bi, Jianming Liang |
| 1999 | ICCV | United Snakes. | Jianming Liang, Tim McInerney, Demetri Terzopoulos |
| 1999 | MICCAI | Interactive Medical Image Segmentation with United Snakes. | Jianming Liang, Tim McInerney, Demetri Terzopoulos |
| 1994 | IPMU | Causal Networks and Their Toolkit in KSE. | Jianming Liang, Qinliang Ren, Zhuoqun Xu, Jiaqing Fang |