Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images. - Faisal Mahmood 001; Richard Chen 001; Sandra Sudarsky; Daphne Yu; Nicholas J. Durr (CoRR, 2018)

Rethinking Monocular Depth Estimation with Adversarial Training. - Richard Chen 001; Faisal Mahmood 001; Alan L. Yuille; Nicholas J. Durr (CoRR, 2018)

Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training. - Faisal Mahmood 001; Richard Chen 001; Nicholas J. Durr (IEEE Trans. Medical Imaging, 2018)

Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams. - Richard Chen 001; Filip Jankovic; Nikki Marinsek; Luca Foschini 002; Lampros Kourtis; Alessio Signorini; Melissa Pugh; Jie Shen; Roy Yaari; Vera Maljkovic; Marc Sunga; Han Hee Song; et al. (KDD, 2019)

Polyp segmentation and classification using predicted depth from monocular endoscopy. - Faisal Mahmood 001; Ziyun Yang; Richard Chen 001; Daniel Borders; Wenhao Xu; Nicholas J. Durr (Computer-Aided Diagnosis, 2019)

Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data. - Faisal Mahmood 001; Richard Chen 001; Daniel Borders; Gregory N. McKay; Kevan J. Salimian; Alexander S. Baras; Nicholas J. Durr (Digital Pathology, 2019)

SLAM Endoscopy enhanced by adversarial depth prediction. - Richard J. Chen; Taylor L. Bobrow; Thomas L. Athey; Faisal Mahmood 001; Nicholas J. Durr (CoRR, 2019)

Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding. - Ming Y. Lu; Richard J. Chen; Jingwen Wang; Debora Dillon; Faisal Mahmood 001 (CoRR, 2019)

Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks. - Jingwen Wang; Richard J. Chen; Ming Y. Lu; Alexander S. Baras; Faisal Mahmood 001 (ISBI, 2020)

Multimodal fusion of histology and molecular features for improved survival outcome prediction (Conference Presentation). - Richard J. Chen; Max Lu; Faisal Mahmood 001 (Digital Pathology, 2020)

Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation). - Richard Chen 001; Faisal Mahmood 001 (Digital Pathology, 2020)

Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation). - Ming Y. Lu; Richard J. Chen; Faisal Mahmood 001 (Digital Pathology, 2020)

EndoL2H: Deep Super-Resolution for Capsule Endoscopy. - Yasin Almalioglu; Abdulkadir Gokce; Kagan Incetan; Muhammed Ali Simsek; Kivanc Ararat; Richard J. Chen; Nicholas J. Durr; Faisal Mahmood 001; Mehmet Turan (CoRR, 2020)

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)

EndoL2H: Deep Super-Resolution for Capsule Endoscopy. - Yasin Almalioglu; Kutsev Bengisu Ozyoruk; Abdulkadir Gokce; Kagan Incetan; Guliz Irem Gokceler; Muhammed Ali Simsek; Kivanc Ararat; Richard J. Chen; Nicholas J. Durr; Faisal Mahmood 001; Mehmet Turan (IEEE Trans. Medical Imaging, 2020)

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. - Faisal Mahmood 001; Daniel Borders; Richard J. Chen; Gregory N. McKay; Kevan J. Salimian; Alexander S. Baras; Nicholas J. Durr (IEEE Trans. Medical Imaging, 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)

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)

VR-Caps: A Virtual Environment for Capsule Endoscopy. - Kagan Incetan; Ibrahim Omer Celik; Abdulhamid Obeid; Guliz Irem Gokceler; Kutsev Bengisu Ozyoruk; Yasin Almalioglu; Richard J. Chen; Faisal Mahmood 001; Hunter Gilbert; Nicholas J. Durr; Mehmet Turan (Medical Image Anal., 2021)

Efficient cellular annotation of histopathology slides with real-time AI augmentation. - James A. Diao; Richard J. Chen; Joseph C. Kvedar (npj Digit. Medicine, 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)

Deep learning-based integration of histology, radiology, and genomics for improved survival prediction in glioma patients. - Luoting Zhuang; Jana Lipková; Richard Chen 001; Faisal Mahmood 001 (Digital and Computational Pathology, 2022)

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology. - Richard J. Chen; Rahul G. Krishnan (CoRR, 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)

Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. - Richard J. Chen; Ming Y. Lu; Jingwen Wang; Drew F. K. Williamson; Scott J. Rodig; Neal I. Lindeman; Faisal Mahmood 001 (IEEE Trans. Medical Imaging, 2022)

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. - Ming Y. Lu; Bowen Chen; Andrew Zhang; Drew F. K. Williamson; Richard J. Chen; Tong Ding; Long Phi Le; Yung-Sung Chuang; Faisal Mahmood 001 (CVPR, 2023)

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework. - Paul Pu Liang; Yun Cheng; Xiang Fan; Chun Kai Ling; Suzanne Nie; Richard J. Chen; Zihao Deng; Nicholas B. Allen; Randy Auerbach; Faisal Mahmood 001; Russ Salakhutdinov; Louis-Philippe Morency (NeurIPS, 2023)

Quantifying & Modeling Feature Interactions: An Information Decomposition Framework. - Paul Pu Liang; Yun Cheng; Xiang Fan; Chun Kai Ling; Suzanne Nie; Richard J. Chen; Zihao Deng; Faisal Mahmood 001; Ruslan Salakhutdinov; Louis-Philippe Morency (CoRR, 2023)

Towards a Visual-Language Foundation Model for Computational Pathology. - Ming Y. Lu; Bowen Chen; Drew F. K. Williamson; Richard J. Chen; Ivy Liang; Tong Ding; Guillaume Jaume; Igor Odintsov; Andrew Zhang; Long Phi Le; Georg Gerber; Anil V. Parwani; et al. (CoRR, 2023)

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)

A Foundational Multimodal Vision Language AI Assistant for Human Pathology. - Ming Y. Lu; Bowen Chen; Drew F. K. Williamson; Richard J. Chen; Kenji Ikamura; Georg Gerber; Ivy Liang; Long Phi Le; Tong Ding; Anil V. Parwani; Faisal Mahmood 001 (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)

Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. - Andrew H. Song; Richard J. Chen; Tong Ding; Drew F. K. Williamson; Guillaume Jaume; 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)

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)

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)

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)

Do Multiple Instance Learning Models Transfer? - Daniel Shao; Richard J. Chen; Andrew H. Song; Joel Runevic; Ming Y. Lu; Tong Ding; Faisal Mahmood 001 (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)