Models Genesis. - Zongwei Zhou; Vatsal Sodha; Jiaxuan Pang; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2021)

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 (DART@MICCAI, 2022)

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 (DART@MICCAI, 2022)

Learning Anatomically Consistent Embedding for Chest Radiography. - Ziyu Zhou; Haozhe Luo; Jiaxuan Pang; Xiaowei Ding; Michael B. Gotway; Jianming Liang (BMVC, 2023)

Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. - Dongao Ma; Jiaxuan Pang; Michael B. Gotway; Jianming Liang (MICCAI (1), 2023)

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 (MICCAI (11), 2024)

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 (WACV, 2025)

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 (WACV, 2025)

POPAR: Patch Order Prediction and Appearance Recovery for self-supervised learning in chest radiography. - Jiaxuan Pang; Dongao Ma; Ziyu Zhou; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2025)

A fully open AI foundation model applied to chest radiography. - Dongao Ma; Jiaxuan Pang; Michael B. Gotway; Jianming Liang (Nat., 2025)