Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images. - Ming Y. Lu; Drew F. K. Williamson; Tiffany Y. Chen; Richard J. Chen; Matteo Barbieri; Faisal Mahmood 001 (CoRR, 2020)

Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary. - Ming Y. Lu; Melissa Zhao; Maha Shady; Jana Lipková; Tiffany Y. Chen; Drew F. K. Williamson; Faisal Mahmood 001 (CoRR, 2020)

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. - Richard J. Chen; Ming Y. Lu; Wei-Hung Weng; Tiffany Y. Chen; Drew F. K. Williamson; Trevor Manz; Maha Shady; Faisal Mahmood 001 (ICCV, 2021)

Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks. - Richard J. Chen; Ming Y. Lu; Muhammad Shaban; Chengkuan Chen; Tiffany Y. Chen; Drew F. K. Williamson; Faisal Mahmood 001 (MICCAI (8), 2021)

Deep Learning-based Frozen Section to FFPE Translation. - Kutsev Bengisu Ozyoruk; Sermet Can; Guliz Irem Gokceler; Kayhan Basak; Derya Demir; Gurdeniz Serin; Uguray Payam Hacisalihoglu; Berkan Darbaz; Ming Y. Lu; Tiffany Y. Chen; Drew F. K. Williamson; Funda Yilmaz; et al. (CoRR, 2021)

Fast and Scalable Image Search For Histology. - Chengkuan Chen; Ming Y. Lu; Drew F. K. Williamson; Tiffany Y. Chen; Andrew J. Schaumberg; Faisal Mahmood 001 (CoRR, 2021)

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning. - Richard J. Chen; Ming Y. Lu; Drew F. K. Williamson; Tiffany Y. Chen; Jana Lipková; Muhammad Shaban; Maha Shady; Mane Williams; Bumjin Joo; Zahra Noor; Faisal Mahmood 001 (CoRR, 2021)

Algorithm Fairness in AI for Medicine and Healthcare. - Richard J. Chen; Tiffany Y. Chen; Jana Lipková; Judy J. Wang; Drew F. K. Williamson; Ming Y. Lu; Sharifa Sahai; Faisal Mahmood 001 (CoRR, 2021)

AI-based pathology predicts origins for cancers of unknown primary. - Ming Y. Lu; Tiffany Y. Chen; Drew F. K. Williamson; Melissa Zhao; Maha Shady; Jana Lipková; Faisal Mahmood 001 (Nat., 2021)

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. - Richard J. Chen; Chengkuan Chen; Yicong Li 003; Tiffany Y. Chen; Andrew D. Trister; Rahul G. Krishnan; Faisal Mahmood 001 (CVPR, 2022)

Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling. - Iain Carmichael; Andrew H. Song; Richard J. Chen; Drew F. K. Williamson; Tiffany Y. Chen; Faisal Mahmood 001 (MICCAI (2), 2022)

Federated learning for computational pathology on gigapixel whole slide images. - Ming Y. Lu; Richard J. Chen; Dehan Kong; Jana Lipková; Rajendra Singh; Drew F. K. Williamson; Tiffany Y. Chen; Faisal Mahmood 001 (Medical Image Anal., 2022)