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Richard J. Chen
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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
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
VR-Caps: A Virtual Environment for Capsule Endoscopy. Medical Image Anal. 70: 101990 (2021) - [j4]James A. Diao
Efficient cellular annotation of histopathology slides with real-time AI augmentation. npj Digit. Medicine 4 (2021) - 2020
- [j3]Faisal Mahmood
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. IEEE Trans. Medical Imaging 39(11): 3257-3267 (2020) - [j2]Yasin Almalioglu
EndoL2H: Deep Super-Resolution for Capsule Endoscopy. IEEE Trans. Medical Imaging 39(12): 4297-4309 (2020) - 2018
- [j1]Faisal Mahmood
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
- [c17]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 - [c16]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 - [c15]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 - [c14]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 - [c13]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
- [c12]Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CVPR 2023: 19764-19775 - [c11]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
- [c10]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 - [c9]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 - 2021
- [c8]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 - [c7]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
- [c6]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 - [c5]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 - [c4]Richard J. Chen, Faisal Mahmood:
Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation). Digital Pathology 2020: 113200M - [c3]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
- [c2]Faisal Mahmood, Ziyun Yang
Polyp segmentation and classification using predicted depth from monocular endoscopy. Computer-Aided Diagnosis 2019: 1095011 - [c1]Faisal Mahmood, Richard J. 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
- [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - 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
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
A General-Purpose Self-Supervised Model for Computational Pathology. CoRR abs/2308.15474 (2023) - [i19]Ming Y. Lu, Bowen Chen, Drew F. K. Williamson
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
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 J. 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 J. 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 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. CoRR abs/1810.00236 (2018) - 2017
- [i1]Faisal Mahmood, Richard J. 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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