Richard J. Chen
Richard J. Chen
PhD Student at Harvard
Verified email at - Homepage
Cited by
Cited by
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
F Mahmood, R Chen, NJ Durr
IEEE Transactions on Medical Imaging 37 (12), 2018
From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge
P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ...
IEEE Transactions on Medical Imaging 38 (2), 550-560, 2019
Deep adversarial training for multi-organ nuclei segmentation in histopathology images
F Mahmood, D Borders, R Chen, GN McKay, KJ Salimian, A Baras, ...
IEEE Transactions on Medical Imaging, 2018
Developing measures of cognitive impairment in the real world from consumer-grade multimodal sensor streams
R Chen, F Jankovic, N Marinsek, L Foschini, L Kourtis, A Signorini, ...
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Rethinking monocular depth estimation with adversarial training
R Chen, F Mahmood, A Yuille, NJ Durr
arXiv preprint arXiv:1808.07528, 2018
Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images
F Mahmood, R Chen, S Sudarsky, D Yu, N J. Durr
Physics in Medicine & Biology 63 (18), 2018
Data efficient and weakly supervised computational pathology on whole slide images
MY Lu, DFK Williamson, TY Chen, RJ Chen, M Barbieri, F Mahmood
Nature Biomedical Engineering, 2020
Semi-supervised histology classification using deep multiple instance learning and contrastive predictive coding
MY Lu, RJ Chen, J Wang, D Dillon, F Mahmood
NeurIPS 2019 ML4H Workshop, 2019
Identifying metastases in sentinel lymph nodes with deep convolutional neural networks
R Chen, Y Jing, H Jackson
arXiv preprint arXiv:1608.01658, 2016
SLAM Endoscopy enhanced by adversarial depth prediction
RJ Chen, TL Bobrow, T Athey, F Mahmood, NJ Durr
KDD'19 Workshop on Applied Data Science for Healthcare, 2019
Variations in Glycogen Synthesis in Human Pluripotent Stem Cells with Altered Pluripotent States
RJ Chen, G Zhang, SH Garfield, YJ Shi, KG Chen, PG Robey, ...
PLOS One 10 (11), e0142554, 2015
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
RJ Chen, MY Lu, J Wang, DFK Williamson, SJ Rodig, NI Lindeman, ...
IEEE Transactions on Medical Imaging, 2019
Weakly supervised prostate tma classification via graph convolutional networks
J Wang, RJ Chen, MY Lu, A Baras, F Mahmood
IEEE International Symposium on Biomedical Imaging 2020, 2019
Polyp segmentation and classification using predicted depth from monocular endoscopy
F Mahmood, Z Yang, R Chen, D Borders, W Xu, NJ Durr
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 1095011, 2019
Precision of regional wall motion estimates from ultra-low-dose cardiac CT using SQUEEZ
A Pourmorteza, N Keller, R Chen, A Lardo, H Halperin, MY Chen, ...
The International Journal of Cardiovascular Imaging 34 (8), 1277-1286, 2018
EndoL2H: Deep Super-Resolution for Capsule Endoscopy
Y Almalioglu, A Gokce, K Incetan, MA Simsek, K Ararat, RJ Chen, NJ Durr, ...
IEEE Transactions on Medical Imaging, 2020
Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data
F Mahmood, R Chen, D Borders, GN McKay, K Salimian, A Baras, NJ Durr
Medical Imaging 2019: Digital Pathology 10956, 109560N, 2019
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
MY Lu, D Kong, J Lipkova, RJ Chen, R Singh, DFK Williamsona, TY Chen, ...
arXiv preprint arXiv:2009.10190, 2020
Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation)
MY Lu, RJ Chen, F Mahmood
Medical Imaging 2020: Digital Pathology 11320, 113200J, 2020
Abstract PO-002: Pan-cancer integrative histology-genomic analysis via interpretable multimodal deep learning
RJ Chen, MY Lu, M Shady, J Lipkova, T Chen, DF Williamson, B Joo, ...
Clinical Cancer Research 27 (5 Supplement), PO-002-PO-002, 2021
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