Power-aware analysis of H.264/AVC encoding parameters for cloud gaming. - Mohammad Reza Hosseinzadeh Taher; Hamed Ahmadi; Mahmoud Reza Hashemi (ICME Workshops, 2014)

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 (MICCAI (1), 2020)

A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. - Mohammad Reza Hosseinzadeh Taher; Fatemeh Haghighi; Ruibin Feng; Michael B. Gotway; Jianming Liang (DART/FAIR@MICCAI, 2021)

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning. - Fatemeh Haghighi; Mohammad Reza Hosseinzadeh Taher; Zongwei Zhou; Michael B. Gotway; Jianming Liang (IEEE Trans. Medical Imaging, 2021)

DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. - Fatemeh Haghighi; Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (CVPR, 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)

CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging. - Mohammad Reza Hosseinzadeh Taher; Fatemeh Haghighi; Michael B. Gotway; Jianming Liang (MIDL, 2022)

Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision. - Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (DART@MICCAI, 2023)

Curriculum Self-Supervised Learning for 3D CT Cardiac Image Segmentation. - Mohammad Reza Hosseinzadeh Taher; Masaki Ikuta; Ravi Soni (ML4H@NeurIPS, 2023)

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 (CVPR, 2024)

Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial? - Fatemeh Haghighi; Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2024)

MOSS: Learning from Multiple Organs Via Self-Supervision. - Mohammad Reza Hosseinzadeh Taher; Junpyo Hong; Ravi Soni; Gopal Avinash (ISBI, 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)