Perceptually improved T1-T2 MRI translations using conditional generative adversarial networks. - Anurag Vaidya; Joshua V. Stough; Aalpen A. Patel (Image Processing, 2022)

A General-Purpose Self-Supervised Model for Computational Pathology. - Richard J. Chen; Tong Ding; Ming Y. Lu; Drew F. K. Williamson; Guillaume Jaume; Bowen Chen; Andrew Zhang; Daniel Shao; Andrew H. Song; Muhammad Shaban; Mane Williams; Anurag Vaidya; et al. (CoRR, 2023)

Transcriptomics-Guided Slide Representation Learning in Computational Pathology. - Guillaume Jaume; Lukas Oldenburg; Anurag Vaidya; Richard J. Chen; Drew F. K. Williamson; Thomas Peeters; Andrew H. Song; Faisal Mahmood 001 (CVPR, 2024)

Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. - Guillaume Jaume; Anurag Vaidya; Richard J. Chen; Drew F. K. Williamson; Paul Pu Liang; Faisal Mahmood 001 (CVPR, 2024)

Multistain Pretraining for Slide Representation Learning in Pathology. - Guillaume Jaume; Anurag Vaidya; Andrew Zhang; Andrew H. Song; Richard J. Chen; Sharifa Sahai; Dandan Mo; Emilio Madrigal; Long Phi Le; Faisal Mahmood 001 (ECCV (33), 2024)

Multimodal Prototyping for cancer survival prediction. - Andrew H. Song; Richard J. Chen; Guillaume Jaume; Anurag J. Vaidya; Alexander S. Baras; Faisal Mahmood 001 (ICML, 2024)

HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis. - Guillaume Jaume; Paul Doucet; Andrew H. Song; Ming Yang Lu; Cristina Almagro-Pérez; Sophia J. Wagner; Anurag Vaidya; Richard J. Chen; Drew F. K. Williamson; Ahrong Kim; Faisal Mahmood 001 (NeurIPS, 2024)

Artificial Intelligence for Digital and Computational Pathology. - Andrew H. Song; Guillaume Jaume; Drew F. K. Williamson; Ming Y. Lu; Anurag Vaidya; Tiffany R. Miller; Faisal Mahmood 001 (CoRR, 2024)

Multimodal Whole Slide Foundation Model for Pathology. - Tong Ding; Sophia J. Wagner; Andrew H. Song; Richard J. Chen; Ming Y. Lu; Andrew Zhang; Anurag J. Vaidya; Guillaume Jaume; Muhammad Shaban; Ahrong Kim; Drew F. K. Williamson; Bowen Chen; et al. (CoRR, 2024)

Composable Interventions for Language Models. - Arinbjörn Kolbeinsson; Kyle O'Brien; Tianjin Huang; Shanghua Gao; Shiwei Liu 003; Jonathan Richard Schwarz; Anurag Jayant Vaidya; Faisal Mahmood 001; Marinka Zitnik; Tianlong Chen 001; Thomas Hartvigsen (ICLR, 2025)

Molecular-driven Foundation Model for Oncologic Pathology. - Anurag Vaidya; Andrew Zhang; Guillaume Jaume; Andrew H. Song; Tong Ding; Sophia J. Wagner; Ming Y. Lu; Paul Doucet; Harry Robertson; Cristina Almagro-Pérez; Richard J. Chen; Dina ElHarouni; et al. (CoRR, 2025)

Accelerating Data Processing and Benchmarking of AI Models for Pathology. - Andrew Zhang; Guillaume Jaume; Anurag Vaidya; Tong Ding; Faisal Mahmood 001 (CoRR, 2025)

A Foundation Model for Spatial Proteomics. - Muhammad Shaban; Yuzhou Chang; Huaying Qiu; Yao Yu Yeo; Andrew H. Song; Guillaume Jaume; Yuchen Wang; Luca L. Weishaupt; Tong Ding; Anurag Vaidya; Abdallah Lamane; Daniel Shao; et al. (CoRR, 2025)

Evidence-based diagnostic reasoning with multi-agent copilot for human pathology. - Chengkuan Chen; Luca L. Weishaupt; Drew F. K. Williamson; Richard J. Chen; Tong Ding; Bowen Chen; Anurag Vaidya; Long Phi Le; Guillaume Jaume; Ming Y. Lu; Faisal Mahmood 001 (CoRR, 2025)