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Jiaxuan Pang

Showing results (1-10 of 8) with videos related to

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Nature|June 11, 2025
A fully open AI foundation model applied to chest radiographyDongAo Ma, Jiaxuan Pang, Michael B Gotway, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 16, 2024
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust PerformanceDongAo Ma, Jiaxuan Pang, Michael B Gotway, et al.
Medical Image Analysis|July 24, 2025
POPAR: Patch Order Prediction and Appearance Recovery for self-supervised learning in chest radiographyJiaxuan Pang, Dongao Ma, Ziyu Zhou, et al.
Medical Image Analysis|November 14, 2020
Models GenesisZongwei Zhou, Vatsal Sodha, Jiaxuan Pang, et al.
BMVC : Proceedings of the British Machine Vision Conference. British Machine Vision Conference|May 30, 2024
Learning Anatomically Consistent Embedding for Chest RadiographyZiyu Zhou, Haozhe Luo, Jiaxuan Pang, et al.
Medical Image Analysis|November 30, 2025
Ark<sup>+</sup>: Supervised training a single high-performance AI foundation model from many differently labeled datasets-no label consolidation requiredDongAo Ma, Jiaxuan Pang, Shivasakthi Senthil Velan, et al.
Domain Adaptation and Representation Transfer : 4Th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Domain Adaptation and Representation Transfer (Workshop) (4Th : 2022 : Sin|December 12, 2022
POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image AnalysisJiaxuan Pang, Fatemeh Haghighi, DongAo Ma, et al.
Domain Adaptation and Representation Transfer : 4Th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Domain Adaptation and Representation Transfer (Workshop) (4Th : 2022 : Sin|November 16, 2022
Benchmarking and Boosting Transformers for Medical Image ClassificationDongAo Ma, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Nature|June 11, 2025
A fully open AI foundation model applied to chest radiographyDongAo Ma, Jiaxuan Pang, Michael B Gotway, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 16, 2024
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust PerformanceDongAo Ma, Jiaxuan Pang, Michael B Gotway, et al.
Medical Image Analysis|July 24, 2025
POPAR: Patch Order Prediction and Appearance Recovery for self-supervised learning in chest radiographyJiaxuan Pang, Dongao Ma, Ziyu Zhou, et al.
Medical Image Analysis|November 14, 2020
Models GenesisZongwei Zhou, Vatsal Sodha, Jiaxuan Pang, et al.
BMVC : Proceedings of the British Machine Vision Conference. British Machine Vision Conference|May 30, 2024
Learning Anatomically Consistent Embedding for Chest RadiographyZiyu Zhou, Haozhe Luo, Jiaxuan Pang, et al.
Medical Image Analysis|November 30, 2025
Ark<sup>+</sup>: Supervised training a single high-performance AI foundation model from many differently labeled datasets-no label consolidation requiredDongAo Ma, Jiaxuan Pang, Shivasakthi Senthil Velan, et al.
Domain Adaptation and Representation Transfer : 4Th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Domain Adaptation and Representation Transfer (Workshop) (4Th : 2022 : Sin|December 12, 2022
POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image AnalysisJiaxuan Pang, Fatemeh Haghighi, DongAo Ma, et al.
Domain Adaptation and Representation Transfer : 4Th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Domain Adaptation and Representation Transfer (Workshop) (4Th : 2022 : Sin|November 16, 2022
Benchmarking and Boosting Transformers for Medical Image ClassificationDongAo Ma, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, et al.
Pageof 1