Richard J. Chen

53 papers A* 10Journal 37Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning. CoRR Daniel Shao, Joel Runevic, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Andrew H. Song, Faisal Mahmood
2025	J	`jnl`	A Foundation Model for Spatial Proteomics. CoRR 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, Mohammed Zidane, Yunhao Bai, Paige McCallum, Shuli Luo, Wenrui Wu, Yang Wang, Precious Cramer, Chi Ngai Chan, Pierre Stéphan, Johanna Schaffenrath, Jia Le Lee, Hendrik A. Michel, Caiwei Tian, Cristina Almagro-Pérez, Sophia J. Wagner, Sharifa Sahai, Ming Y. Lu, Richard J. Chen, Andrew Zhang, Mark Edward M. Gonzales, Ahmad Makky, Jia-Ying Joey Lee, Hao Cheng, Nourhan El Ahmar, Sayed Matar, Maximilian Haist, Darci Phillips, Yuqi Tan, Garry P. Nolan, W. Richard Burack, Jacob D. Estes, Jonathan T. C. Liu, Toni K. Choueiri, Neeraj Agarwal, Marc Barry, Scott J. Rodig, Long Phi Le, Georg Gerber, Christian M. Schürch, Fabian J. Theis, Youn H. Kim, Joe Yeong, Sabina Signoretti, Brooke E. Howitt, Lit-Hsin Loo, Qin Ma, Sizun Jiang, Faisal Mahmood
2025	A*	`conf`	Do Multiple Instance Learning Models Transfer? ICML Daniel Shao, Richard J. Chen, Andrew H. Song, Joel Runevic, Ming Y. Lu, Tong Ding, Faisal Mahmood
2025	J	`jnl`	Do Multiple Instance Learning Models Transfer? CoRR Daniel Shao, Richard J. Chen, Andrew H. Song, Joel Runevic, Ming Y. Lu, Tong Ding, Faisal Mahmood
2025	J	`jnl`	Evidence-based diagnostic reasoning with multi-agent copilot for human pathology. CoRR 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
2025	J	`jnl`	Molecular-driven Foundation Model for Oncologic Pathology. CoRR 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, Georges Ayoub, Connor Bossi, Keith L. Ligon, Georg Gerber, Long Phi Le, Faisal Mahmood
2024	A*	`conf`	HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis. NeurIPS 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
2024	J	`jnl`	HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis. CoRR Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag J. Vaidya, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Faisal Mahmood
2024	A*	`conf`	Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. CVPR Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood
2024	A*	`conf`	Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. CVPR Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood
2024	J	`jnl`	Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. CoRR Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood
2024	A*	`conf`	Multimodal Prototyping for cancer survival prediction. ICML Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood
2024	J	`jnl`	Multimodal Prototyping for cancer survival prediction. CoRR Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood
2024	J	`jnl`	Multimodal Whole Slide Foundation Model for Pathology. CoRR 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, Cristina Almagro-Pérez, Paul Doucet, Sharifa Sahai, Chengkuan Chen, Daisuke Komura, Akihiro Kawabe, Shumpei Ishikawa, Georg Gerber, Tingying Peng, Long Phi Le, Faisal Mahmood
2024	—	`conf`	Multistain Pretraining for Slide Representation Learning in Pathology. ECCV (33) Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood
2024	J	`jnl`	Multistain Pretraining for Slide Representation Learning in Pathology. CoRR Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood
2024	A*	`conf`	Transcriptomics-Guided Slide Representation Learning in Computational Pathology. CVPR Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood
2024	J	`jnl`	Transcriptomics-guided Slide Representation Learning in Computational Pathology. CoRR Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood
2023	J	`jnl`	A Foundational Multimodal Vision Language AI Assistant for Human Pathology. CoRR 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
2023	J	`jnl`	A General-Purpose Self-Supervised Model for Computational Pathology. CoRR 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, Sharifa Sahai, Lukas Oldenburg, Luca L. Weishaupt, Judy J. Wang, Walt Williams, Long Phi Le, Georg Gerber, Faisal Mahmood
2023	J	`jnl`	Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. CoRR Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood
2023	J	`jnl`	Quantifying & Modeling Feature Interactions: An Information Decomposition Framework. CoRR Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard J. Chen, Zihao Deng, Faisal Mahmood, Ruslan Salakhutdinov, Louis-Philippe Morency
2023	A*	`conf`	Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework. NeurIPS Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard J. Chen, Zihao Deng, Nicholas B. Allen, Randy Auerbach, Faisal Mahmood, Russ Salakhutdinov, Louis-Philippe Morency
2023	J	`jnl`	Towards a Visual-Language Foundation Model for Computational Pathology. CoRR 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, Faisal Mahmood
2023	A*	`conf`	Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CVPR Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood
2023	J	`jnl`	Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CoRR Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood
2022	J	`jnl`	Federated learning for computational pathology on gigapixel whole slide images. Medical Image Anal. Ming Y. Lu, Richard J. Chen, Dehan Kong, Jana Lipková, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2022	—	`conf`	Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling. MICCAI (2) Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2022	J	`jnl`	Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling. CoRR Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2022	J	`jnl`	Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. IEEE Trans. Medical Imaging Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood
2022	A*	`conf`	Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. CVPR Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood
2022	J	`jnl`	Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. CoRR Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood
2022	J	`jnl`	Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology. CoRR Richard J. Chen, Rahul G. Krishnan
2021	J	`jnl`	Algorithm Fairness in AI for Medicine and Healthcare. CoRR Richard J. Chen, Tiffany Y. Chen, Jana Lipková, Judy J. Wang, Drew F. K. Williamson, Ming Y. Lu, Sharifa Sahai, Faisal Mahmood
2021	J	`jnl`	Efficient cellular annotation of histopathology slides with real-time AI augmentation. npj Digit. Medicine James A. Diao, Richard J. Chen, Joseph C. Kvedar
2021	A*	`conf`	Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. ICCV Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew F. K. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood
2021	J	`jnl`	Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning. CoRR 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
2021	J	`jnl`	VR-Caps: A Virtual Environment for Capsule Endoscopy. Medical Image Anal. Kagan Incetan, Ibrahim Omer Celik, Abdulhamid Obeid, Guliz Irem Gokceler, Kutsev Bengisu Ozyoruk, Yasin Almalioglu, Richard J. Chen, Faisal Mahmood, Hunter Gilbert, Nicholas J. Durr, Mehmet Turan
2021	—	`conf`	Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks. MICCAI (8) Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
2021	J	`jnl`	Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks. CoRR Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
2020	J	`jnl`	Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images. CoRR Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Richard J. Chen, Matteo Barbieri, Faisal Mahmood
2020	J	`jnl`	Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. IEEE Trans. Medical Imaging Faisal Mahmood, Daniel Borders, Richard J. Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr
2020	J	`jnl`	EndoL2H: Deep Super-Resolution for Capsule Endoscopy. CoRR Yasin Almalioglu, Abdulkadir Gokce, Kagan Incetan, Muhammed Ali Simsek, Kivanc Ararat, Richard J. Chen, Nicholas J. Durr, Faisal Mahmood, Mehmet Turan
2020	J	`jnl`	EndoL2H: Deep Super-Resolution for Capsule Endoscopy. IEEE Trans. Medical Imaging 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, Mehmet Turan
2020	J	`jnl`	Federated Learning for Computational Pathology on Gigapixel Whole Slide Images. CoRR Ming Y. Lu, Dehan Kong, Jana Lipková, Richard J. Chen, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2020	—	`conf`	Multimodal fusion of histology and molecular features for improved survival outcome prediction (Conference Presentation). Digital Pathology Richard J. Chen, Max Lu, Faisal Mahmood
2020	—	`conf`	Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation). Digital Pathology Ming Y. Lu, Richard J. Chen, Faisal Mahmood
2020	J	`jnl`	VR-Caps: A Virtual Environment for Capsule Endoscopy. CoRR Kagan Incetan, Ibrahim Omer Celik, Abdulhamid Obeid, Guliz Irem Gokceler, Kutsev Bengisu Ozyoruk, Yasin Almalioglu, Richard J. Chen, Faisal Mahmood, Hunter Gilbert, Nicholas J. Durr, Mehmet Turan
2020	—	`conf`	Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks. ISBI Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood
2019	J	`jnl`	Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. CoRR Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood
2019	J	`jnl`	SLAM Endoscopy enhanced by adversarial depth prediction. CoRR Richard J. Chen, Taylor L. Bobrow, Thomas L. Athey, Faisal Mahmood, Nicholas J. Durr
2019	J	`jnl`	Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding. CoRR Ming Y. Lu, Richard J. Chen, Jingwen Wang, Debora Dillon, Faisal Mahmood
2019	J	`jnl`	Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks. CoRR Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood