Richard J. Chen
Orcid: 0000-0003-0389-1331Affiliations:
- Mass General Brigham, Boston, MA, USA
- Harvard University, Medical School, Boston, MA, USA
According to our database1,
Richard J. Chen
authored at least 42 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
CoRR, 2023
CoRR, 2023
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis.
IEEE Trans. Medical Imaging, 2022
Medical Image Anal., 2022
CoRR, 2022
Deep learning-based integration of histology, radiology, and genomics for improved survival prediction in glioma patients.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Efficient cellular annotation of histopathology slides with real-time AI augmentation.
npj Digit. Medicine, 2021
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning.
CoRR, 2021
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
CoRR, 2020
Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation).
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation).
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Multimodal fusion of histology and molecular features for improved survival outcome prediction (Conference Presentation).
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding.
CoRR, 2019
Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Polyp segmentation and classification using predicted depth from monocular endoscopy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training.
IEEE Trans. Medical Imaging, 2018
Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images.
CoRR, 2018