Article-Journal

A Vision–language Foundation Model for Precision Oncology
Nature, 2025
Jinxi Xiang, Xiyue Wang, Xiaoming Zhang, Yinghua Xi, Feyisope Eweje, Yijiang Chen, Yuchen Li, Colin Bergstrom, Matthew Gopaulchan, Ted Kim, Kun-Hsing Yu, Sierra Willens, Francesca Maria Olguin, Jeffrey J. Nirschl, Joel Neal, Maximilian Diehn, Sen Yang, Ruijiang Li
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A Vision–language Foundation Model for Precision Oncology
AI-enabled virtual spatial proteomics from histopathology for interpretable biomarker discovery in lung cancer
Nature Medicine, 2026
Zhe Li, Yuchen Li, Jinxi Xiang, Xiyue Wang, Sen Yang, Xiaoming Zhang, Feyisope Eweje, Yijiang Chen, Xiangde Luo, Yuanyuan Li, Jonathan Mulholland, Colin Bergstrom, Ted Kim, Francesca Maria Olguin, Sierra Willens, Jeffrey J. Nirschl, Robert West, Joel Neal, Maximilian Diehn, Ruijiang Li
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AI-enabled virtual spatial proteomics from histopathology for interpretable biomarker discovery in lung cancer
FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging
IEEE Transactions on Medical Imaging, 2021
Jinxi Xiang, Yonggui Dong, Yunjie Yang
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FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging
Automatic Diagnosis and Grading of Prostate Cancer with Weakly Supervised Learning on Whole Slide Images
Computers in Biology and Medicine, 2023
Jinxi Xiang, Xiyue Wang, Xinran Wang, Jun Zhang, Sen Yang, Wei Yang, Xiao Han, Yueping Liu
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Automatic Diagnosis and Grading of Prostate Cancer with Weakly Supervised Learning on Whole Slide Images
Multi-Frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained Sparse Bayesian Learning
IEEE Transactions on Medical Imaging, 2020
Jinxi Xiang, Yonggui Dong, Yunjie Yang
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Multi-Frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained Sparse Bayesian Learning