Richard J. Chen
According to our database1,
Richard J. Chen
authored at least 36 papers
between 2018 and 2024.
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Bibliography
2024
CoRR, 2024
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology.
CoRR, 2024
CoRR, 2024
2023
CoRR, 2023
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction.
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
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, 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