Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. - Nahid Ul Islam; Shiv Gehlot; Zongwei Zhou; Michael B. Gotway; Jianming Liang (MLMI@MICCAI, 2021)

Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining. - Zuwei Guo; Nahid Ul Islam; Michael B. Gotway; Jianming Liang (DART@MICCAI, 2022)

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)

Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning. - Zuwei Guo; Nahid Ul Islam; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2024)

Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism. - Nahid Ul Islam; Zongwei Zhou; Shiv Gehlot; Michael B. Gotway; Jianming Liang (Medical Image Anal., 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)