328 citations · 401 across the 17 of their papers we have counts for
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Learning Anatomically Consistent Embedding for Chest Radiography
Ziyu Zhou, Haozhe Luo, Jiaxuan Pang +3
Self-supervised learning (SSL) approaches have recently shown substantial success in learning visual representations from unannotated images. Compared with photographic images, med…
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance
DongAo Ma, Jiaxuan Pang, Michael B. Gotway +1
Deep learning nowadays offers expert-level and sometimes even super-expert-level performance, but achieving such performance demands massive annotated data for training (e.g., Goog…
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
Human anatomy is the foundation of medical imaging and boasts one striking characteristic: its hierarchy in nature, exhibiting two intrinsic properties: (1) locality: each anatomic…