Publications

Jana Lipkova *, Tiffany Y. Chen *, Ming Y. Lu, Richard J. Chen, Maha Shady, Mane Williams, Jingwen Wang, Zahra Noor, Richard N. Mitchell, Mehmet Turan, Gulfize Coskun, Funda Yilmaz, Derya Demir, Deniz Nart, Kayhan Basak, Nesrin Turhan, Selvinaz Ozkara, Yara Banz, Katja E. Odening, Faisal Mahmood, *Contributed Equally (2022). Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies. Nature Medicine.

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Ming Y. Lu *, Richard J. Chen *, Dehan, Kong, Jana Lipkova, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood, *Contributed Equally (2022). Federated learning for computational pathology on gigapixel whole slide images. Medical Image Analysis.

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Richard J Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y Chen, Drew FK Williamson, Trevor Manz, Maha Shady, Faisal Mahmood (2021). Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. ICCV 2021.

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Ming Y. Lu, Houssein A. Sater, Faisal Mahmood (2021). Multiplex computational pathology for treatment response prediction. Cancer Cell.

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Ming Y. Lu, Tiffany Y. Chen, Drew F. K. Williamson, Melissa Zhao, Maha Shady, Jana Lipkova, Faisal Mahmood (2021). AI-based pathology predicts origins for cancers of unknown primary. Nature.

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Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Richard J. Chen, Matteo Barbieri, Faisal Mahmood (2021). Data-efficient and weakly supervised computational pathology on whole-slide images. Nature Biomedical Engineering.

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Richard J. Chen, Ming Y. Lu, Jing W. Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood (2020). Pathomic Fusion: an integrated framework for fusing histopathology and genomic features for cancer diagnosis and prognosis. IEEE Transactions on Medical Imaging.

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Jing W. Wang, Richard J Chen, Ming Y. Lu, Alexander Baras, Faisal Mahmood (2020). Weakly supervised prostate tma classification via graph convolutional networks. ISBI 2020.

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Ming Y. Lu, Richard J Chen, Jing W. Wang, Debora Dillon, Faisal Mahmood (2019). Semi-supervised histology classification using deep multiple instance learning and contrastive predictive coding. ML4H 2019.

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