Richard J. Chen
- Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
2022/06/06 by Richard J. Chen, Chengkuan Chen, Chen, Richard J. +11 · 40 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Cell Image Analysis Techniques #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging
- Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
2023/02/23 by Paul Pu Liang, Liang, Paul Pu, Yun Cheng +19 · 21 citations
Computer Science · #Topic Modeling #Machine Learning in Healthcare #Explainable Artificial Intelligence (XAI)
- Multimodal Whole Slide Foundation Model for Pathology
2024/11/29 by Tong Ding, Ding, Tong, Sophia J. Wagner +43 · 40 citations
Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #AI in cancer detection
- Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
2019/12/18 by Richard J. Chen, Ming Y. Lu, Chen, Richard J. +11 · 12 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #AI in cancer detection #Cancer Genomics and Diagnostics #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Radiomics and Machine Learning in Medical Imaging #Tissues and Organs (q-bio.TO)
- Learning Montezuma's Revenge from a Single Demonstration
2018/12/08 by Tim Salimans, Richard Chen, Richard J. Chen +2 · 1 voice · 13 citations
Computer Science · #Artificial Intelligence in Games #Generative Adversarial Networks and Image Synthesis #Reinforcement Learning in Robotics #cs.AI #cs.LG #cs.NE #stat.ML
- HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis
2024/06/23 by Guillaume Jaume, Paul Doucet, Jaume, Guillaume +19 · 26 citations
Biochemistry, Genetics and Molecular Biology · #Cancer-related molecular mechanisms research #Molecular Biology Techniques and Applications #Gene expression and cancer classification
- Molecular-driven Foundation Model for Oncologic Pathology
2025/01/28 by Anurag Vaidya, Vaidya, Anurag, Andrew Zhang +33 · 18 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Genetics, Bioinformatics, and Biomedical Research #Computational Drug Discovery Methods
- Federated Learning for Computational Pathology on Gigapixel Whole Slide\n Images
2020/09/21 by Ming Y. Lu, Lu, Ming Y., Dehan Kong +13 · 4 citations
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Radiomics and Machine Learning in Medical Imaging #Tissues and Organs (q-bio.TO) #electronic engineering #information engineering
- Towards a Visual-Language Foundation Model for Computational Pathology
2023/07/24 by Ming Y. Lu, Lu, Ming Y., Bowen Chen +23 · 5 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Artificial Intelligence (cs.AI) #Biomedical Text Mining and Ontologies #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences
- Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology
2022/03/01 by Richard J. Chen, Rahul G. Krishnan, Chen, Richard J. +1 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #AI in cancer detection #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Mycobacterium research and diagnosis #Tissues and Organs (q-bio.TO)
- Evidence-based diagnostic reasoning with multi-agent copilot for human pathology
2025/06/26 by Chen, Chengkuan, Drew F. K. Williamson, Weishaupt, Luca L. +15 · 8 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Topic Modeling
- A Foundational Multimodal Vision Language AI Assistant for Human Pathology
2023/12/13 by Ming Y. Lu, Bowen Chen, Lu, Ming Y. +19 · 2 citations
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Topic Modeling #AI in cancer detection
- Do Multiple Instance Learning Models Transfer?
2025/06/10 by Daniel Shao, Shao, Daniel, Richard J. Chen +11 · 7 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #AI in cancer detection #Medical Image Segmentation Techniques #Cell Image Analysis Techniques
- Deep Adversarial Training for Multi-Organ Nuclei Segmentation in\n Histopathology Images
2018/09/29 by Faisal Mahmood, Mahmood, Faisal, Daniel Borders +11 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
- When Do Consumers Lose from Variable Electricity Pricing?
2025/09/01 by Nathan Engelman Lado, Richard J. Chen, Lado, Nathan Engelman +4 · 1 voice
Economics, Econometrics and Finance · Energy · Engineering · #Electric Power System Optimization #Energy, Environment, and Transportation Policies #FOS: Economics and business #General Economics (econ.GN) #Smart Grid Energy Management #econ.GN
- A multimodal whole-slide foundation model for pathology
2025/11/01 by Tong Ding, Sophia J. Wagner, Andrew H. Song +26 · 1 voice · 2 citations
Computer Science · #AI in cancer detection #Multimodal Machine Learning Applications #Generative Adversarial Networks and Image Synthesis
- Identifying Metastases in Sentinel Lymph Nodes with Deep Convolutional Neural Networks
2016/08/04 by Richard J. Chen, Yating Jing, Chen, Richard +3 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Cervical Cancer and HPV Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging