Chen, Richard J.

Data-efficient and weakly supervised computational pathology on whole-slide images

Lu, M. Y., Williamson, D. F. K., Chen, T. Y., Chen, R. J., Barbieri, M., & Mahmood, F. (2021) · Nature Biomedical Engineering

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 2,282

Towards a general-purpose foundation model for computational pathology

Chen, R. J., Ding, T., Lu, M. Y., Williamson, D. F. K., Jaume, G., Song, A. H., Chen, B., Zhang, A., Shao, D., Shaban, M., et al. (2024) · Nature Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 1,560

A visual-language foundation model for computational pathology

Lu, M. Y., Chen, B., Williamson, D. F. K., Chen, R. J., Liang, I., Ding, T., Jaume, G., Odintsov, I., Le, L. P., Gerber, G., et al. (2024) · Nature Medicine

Multimodal Machine Learning ApplicationsAI in cancer detection

Cited by 966

Artificial intelligence for multimodal data integration in oncology

Lipkova, J., Chen, R. J., Chen, B., Lu, M. Y., Barbieri, M., Shao, D., Vaidya, A. J., Chen, C., Zhuang, L., Williamson, D. F. K., et al. (2022) · Cancer Cell

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 777

Algorithmic fairness in artificial intelligence for medicine and healthcare

Chen, R. J., Wang, J. J., Williamson, D. F. K., Chen, T. Y., Lipkova, J., Lu, M. Y., Sahai, S., & Mahmood, F. (2023) · Nature Biomedical Engineering

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 750

Synthetic data in machine learning for medicine and healthcare

Chen, R. J., Lu, M. Y., Chen, T. Y., Williamson, D. F. K., & Mahmood, F. (2021) · Nature Biomedical Engineering

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 728

Pan-cancer integrative histology-genomic analysis via multimodal deep learning

Chen, R. J., Lu, M. Y., Williamson, D. F. K., Chen, T. Y., Lipkova, J., Noor, Z., Shaban, M., Shady, M., Williams, M., Joo, B., et al. (2022) · Cancer Cell

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 660

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

Chen, R. J., Chen, C., Li, Y., Chen, T. Y., Trister, A. D., Krishnan, R. G., & Mahmood, F. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 621

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Bandi, P., Geessink, O., Manson, Q., Van Dijk, M., Balkenhol, M., Hermsen, M., Ehteshami Bejnordi, B., Lee, B., Paeng, K., Zhong, A., et al. (2019) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 569

A multimodal generative AI copilot for human pathology

Lu, M. Y., Chen, B., Williamson, D. F. K., Chen, R. J., Zhao, M., Chow, A. K., Ikemura, K., Kim, A., Pouli, D., Patel, A., et al. (2024) · Nature

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 461

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images

Chen, R. J., Lu, M. Y., Weng, W.-H., Chen, T. Y., Williamson, D. F., Manz, T., Shady, M., & Mahmood, F. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 398

Federated learning for computational pathology on gigapixel whole slide images

Lu, M. Y., Chen, R. J., Kong, D., Lipkova, J., Singh, R., Williamson, D. F. K., Chen, T. Y., & Mahmood, F. (2022) · Medical Image Analysis

AI in cancer detectionPrivacy-Preserving Technologies in Data

Cited by 267

Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks

Chen, R. J., Lu, M. Y., Shaban, M., Chen, C., Chen, T. Y., Williamson, D. F. K., & Mahmood, F. (2021) · Lecture Notes in Computer Science

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 176

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images

Lu, M. Y., Chen, B., Zhang, A., Williamson, D. F. K., Chen, R. J., Ding, T., Le, L. P., Chuang, Y.-S., & Mahmood, F. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

AI in cancer detectionMultimodal Machine Learning Applications

Cited by 122

Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology

Song, A. H., Chen, R. J., Ding, T., Williamson, D. F. K., Jaume, G., & Mahmood, F. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 79

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology

Chen, R. J., & Krishnan, R. G. (2022) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 52

Transcriptomics-Guided Slide Representation Learning in Computational Pathology

Jaume, G., Oldenburg, L., Vaidya, A., Chen, R. J., Williamson, D. F. K., Peeters, T., Song, A. H., & Mahmood, F. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 51

Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling

Carmichael, I., Song, A. H., Chen, R. J., Williamson, D. F. K., Chen, T. Y., & Mahmood, F. (2022) · Lecture Notes in Computer Science

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 20