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ORCIDRichard J. Chen
Richard Chen 0001
Person information
- affiliation: Mass General Brigham, Boston, MA, USA
- affiliation: Harvard University, Medical School, Boston, MA, USA
Other persons with the same name
- Richard Chen — disambiguation page
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Journal Articles
- 2022
[j7]Ming Y. Lu, Richard J. Chen, Dehan Kong, Jana Lipková, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood:
Federated learning for computational pathology on gigapixel whole slide images. Medical Image Anal. 76: 102298 (2022)- [j6]Richard J. Chen, Ming Y. Lu
, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood:
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. IEEE Trans. Medical Imaging 41(4): 757-770 (2022) - 2021
- [j5]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:
VR-Caps: A Virtual Environment for Capsule Endoscopy. Medical Image Anal. 70: 101990 (2021) - [j4]James A. Diao, Richard J. Chen, Joseph C. Kvedar:
Efficient cellular annotation of histopathology slides with real-time AI augmentation. npj Digit. Medicine 4 (2021) - 2020
- [j3]Faisal Mahmood, Daniel Borders, Richard J. Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. IEEE Trans. Medical Imaging 39(11): 3257-3267 (2020) - [j2]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:
EndoL2H: Deep Super-Resolution for Capsule Endoscopy. IEEE Trans. Medical Imaging 39(12): 4297-4309 (2020) - 2018
- [j1]Faisal Mahmood, Richard Chen, Nicholas J. Durr:
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training. IEEE Trans. Medical Imaging 37(12): 2572-2581 (2018)
Conference and Workshop Papers
- 2024
- [c19]Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood:
Transcriptomics-Guided Slide Representation Learning in Computational Pathology. CVPR 2024: 9632-9644 - [c18]Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood:
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. CVPR 2024: 11566-11578 - [c17]Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood:
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. CVPR 2024: 11579-11590 - [c16]Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood:
Multistain Pretraining for Slide Representation Learning in Pathology. ECCV (33) 2024: 19-37 - [c15]Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood:
Multimodal Prototyping for cancer survival prediction. ICML 2024 - 2023
- [c14]Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood:
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CVPR 2023: 19764-19775 - [c13]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:
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework. NeurIPS 2023 - 2022
- [c12]Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood:
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. CVPR 2022: 16123-16134 - [c11]Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood:
Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling. MICCAI (2) 2022: 387-397 - [c10]Luoting Zhuang, Jana Lipková, Richard Chen, Faisal Mahmood:
Deep learning-based integration of histology, radiology, and genomics for improved survival prediction in glioma patients. Digital and Computational Pathology 2022 - 2021
- [c9]Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew F. K. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood:
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. ICCV 2021: 3995-4005 - [c8]Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood:
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks. MICCAI (8) 2021: 339-349 - 2020
- [c7]Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood:
Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks. ISBI 2020: 239-243 - [c6]Richard J. Chen, Max Lu, Faisal Mahmood:
Multimodal fusion of histology and molecular features for improved survival outcome prediction (Conference Presentation). Digital Pathology 2020: 113200N - [c5]Richard Chen, Faisal Mahmood:
Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation). Digital Pathology 2020: 113200M - [c4]Ming Y. Lu, Richard J. Chen, Faisal Mahmood:
Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation). Digital Pathology 2020: 113200J - 2019
- [c3]Richard Chen, Filip Jankovic, Nikki Marinsek, Luca Foschini, Lampros Kourtis, Alessio Signorini, Melissa Pugh, Jie Shen, Roy Yaari, Vera Maljkovic, Marc Sunga, Han Hee Song, Hyun Joon Jung, Belle L. Tseng, Andrew Trister:
Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams. KDD 2019: 2145-2155 - [c2]Faisal Mahmood, Ziyun Yang, Richard Chen, Daniel Borders, Wenhao Xu, Nicholas J. Durr:
Polyp segmentation and classification using predicted depth from monocular endoscopy. Computer-Aided Diagnosis 2019: 1095011 - [c1]Faisal Mahmood, Richard Chen, Daniel Borders, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data. Digital Pathology 2019: 109560N
Informal and Other Publications
- 2024
- [i30]Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood:
Transcriptomics-guided Slide Representation Learning in Computational Pathology. CoRR abs/2405.11618 (2024) - [i29]Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood:
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. CoRR abs/2405.11643 (2024) - [i28]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:
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis. CoRR abs/2406.16192 (2024) - [i27]Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood:
Multimodal Prototyping for cancer survival prediction. CoRR abs/2407.00224 (2024) - [i26]Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood:
Multistain Pretraining for Slide Representation Learning in Pathology. CoRR abs/2408.02859 (2024) - [i25]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:
Multimodal Whole Slide Foundation Model for Pathology. CoRR abs/2411.19666 (2024) - 2023
- [i24]Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard J. Chen, Zihao Deng, Faisal Mahmood, Ruslan Salakhutdinov, Louis-Philippe Morency:
Quantifying & Modeling Feature Interactions: An Information Decomposition Framework. CoRR abs/2302.12247 (2023) - [i23]Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood:
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. CoRR abs/2304.06819 (2023) - [i22]Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood:
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CoRR abs/2306.07831 (2023) - [i21]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:
Towards a Visual-Language Foundation Model for Computational Pathology. CoRR abs/2307.12914 (2023) - [i20]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:
A General-Purpose Self-Supervised Model for Computational Pathology. CoRR abs/2308.15474 (2023) - [i19]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:
A Foundational Multimodal Vision Language AI Assistant for Human Pathology. CoRR abs/2312.07814 (2023) - 2022
- [i18]Richard J. Chen, Rahul G. Krishnan:
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology. CoRR abs/2203.00585 (2022) - [i17]Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood:
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. CoRR abs/2206.02647 (2022) - [i16]Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood:
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling. CoRR abs/2206.08885 (2022) - 2021
- [i15]Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood:
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks. CoRR abs/2107.13048 (2021) - [i14]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:
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning. CoRR abs/2108.02278 (2021) - [i13]Richard J. Chen, Tiffany Y. Chen, Jana Lipková, Judy J. Wang, Drew F. K. Williamson, Ming Y. Lu, Sharifa Sahai, Faisal Mahmood:
Algorithm Fairness in AI for Medicine and Healthcare. CoRR abs/2110.00603 (2021) - 2020
- [i12]Yasin Almalioglu, Abdulkadir Gokce, Kagan Incetan, Muhammed Ali Simsek, Kivanc Ararat, Richard J. Chen, Nicholas J. Durr, Faisal Mahmood, Mehmet Turan:
EndoL2H: Deep Super-Resolution for Capsule Endoscopy. CoRR abs/2002.05459 (2020) - [i11]Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Richard J. Chen, Matteo Barbieri, Faisal Mahmood:
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images. CoRR abs/2004.09666 (2020) - [i10]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:
VR-Caps: A Virtual Environment for Capsule Endoscopy. CoRR abs/2008.12949 (2020) - [i9]Ming Y. Lu, Dehan Kong, Jana Lipková, Richard J. Chen, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood:
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images. CoRR abs/2009.10190 (2020) - 2019
- [i8]Richard J. Chen, Taylor L. Bobrow, Thomas L. Athey, Faisal Mahmood, Nicholas J. Durr:
SLAM Endoscopy enhanced by adversarial depth prediction. CoRR abs/1907.00283 (2019) - [i7]Ming Y. Lu, Richard J. Chen, Jingwen Wang, Debora Dillon, Faisal Mahmood:
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding. CoRR abs/1910.10825 (2019) - [i6]Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood:
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks. CoRR abs/1910.13328 (2019) - [i5]Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood:
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. CoRR abs/1912.08937 (2019) - 2018
- [i4]Faisal Mahmood, Richard Chen, Sandra Sudarsky, Daphne Yu, Nicholas J. Durr:
Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images. CoRR abs/1805.08400 (2018) - [i3]Richard Chen, Faisal Mahmood, Alan L. Yuille, Nicholas J. Durr:
Rethinking Monocular Depth Estimation with Adversarial Training. CoRR abs/1808.07528 (2018) - [i2]Faisal Mahmood, Daniel Borders, Richard Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. CoRR abs/1810.00236 (2018) - 2017
- [i1]Faisal Mahmood, Richard Chen, Nicholas J. Durr:
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training. CoRR abs/1711.06606 (2017)
Coauthor Index
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