Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images. - Gabriele Campanella; Ricky Kwan; Eugene Fluder; Jennifer Zeng; Aryeh Stock; Brandon Veremis; Alexandros D. Polydorides; Cyrus Hedvat; Adam Schoenfeld; Chad M. Vanderbilt; Patricia H. Kovatch; Carlos Cordon-Cardo; et al. (CoRR, 2023)

Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective. - Shengjia Chen; Gabriele Campanella; Abdulkadir Elmas; Aryeh Stock; Jennifer Zeng; Alexandros D. Polydorides; Adam J. Schoenfeld; Kuan-Lin Huang; Jane Houldsworth; Chad Vanderbilt; Thomas J. Fuchs (COMPAY@MICCAI, 2024)

Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling. - Gabriele Campanella; Eugene Fluder; Jennifer Zeng; Chad M. Vanderbilt; Thomas J. Fuchs (CoRR, 2024)

A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models. - Gabriele Campanella; Shengjia Chen; Ruchika Verma; Jennifer Zeng; Aryeh Stock; Matt Croken; Brandon Veremis; Abdulkadir Elmas; Kuan-Lin Huang; Ricky Kwan; Jane Houldsworth; Adam Schoenfeld; et al. (CoRR, 2024)