1. Synthetic Data in Machine Learning for Medicine and Healthcare
    Richard J. Chen, Ming Y. Lu, Tiffany Y. Chen, Drew F. K. Williamson, and Faisal Mahmood
    Nature Biomedical Engineering 2021
  2. Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-Based Graph Convolutional Networks
    Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y Chen, Drew FK Williamson, and Faisal Mahmood
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021
  3. Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning
    Richard J Chen, Ming Y Lu, Drew FK Williamson, Tiffany Y Chen, Jana Lipkova, Muhammad Shaban, Maha Shady, Mane Williams, Bumjin Joo, Zahra Noor, and Faisal Mahmood
    arXiv preprint arXiv:2108.02278 2021
  4. VR-Caps: A Virtual Environment for Capsule Endoscopy
    Kağan İncetan, Ibrahim Omer Celik, Abdulhamid Obeid, Guliz Irem Gokceler, Kutsev Bengisu Ozyoruk, Yasin Almalioglu, Richard J Chen, Faisal Mahmood, Hunter Gilbert, Nicholas J Durr, and Mehmet Turan
    Medical Image Analysis 2021


  1. Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
    Faisal Mahmood, Daniel Borders, Richard J. Chen, Gregory N. Mckay, Kevan J. Salimian, Alexander Baras, and Nicholas J. Durr
    IEEE Transactions on Medical Imaging 2020
  2. Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
    Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, and Faisal Mahmood
    IEEE Transactions on Medical Imaging 2020
    Top 5 Posters, NVIDIA GTC 2020
  3. Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks
    Jingwen Wang, Richard J Chen, Ming Y Lu, Alexander Baras, and Faisal Mahmood
    In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) 2020
    Oral Presentation
  4. EndoL2H: Deep Super-Resolution for Capsule Endoscopy
    Yasin Almalioglu, Kutsev Bengisu Ozyoruk, Abdulkadir Gokce, Kagan Incetan, Guliz Irem Gokceler, Muhammed Ali Simsek, Kivanc Ararat, Richard J Chen, Nicholas J Durr, Faisal Mahmood, and others
    IEEE Transactions on Medical Imaging 2020


  1. From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
    Peter Bandi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih cetin, Eren Halici, Hunter Jackson, Richard J. Chen, Fabian Both, Jorg Franke, Heidi Kusters-Vandevelde, Willem Vreuls, Peter Bult, Bram Ginneken, Jeroen Laak, and Geert Litjens
    IEEE Transactions on Medical Imaging 2019
    8th Place, CAMELYON17 Challenge
  2. SLAM Endoscopy Enhanced by Adversarial Depth Prediction
    Richard J. Chen, Taylor L Bobrow, Thomas Athey, Faisal Mahmood, and Nicholas J Durr
    In DSHealth Workshop in the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2019
    Spotlight Presentation
  3. Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams
    Richard J. Chen, Filip Jankovic, Nikki Marinsek, Luca Foschini, Lampros Kourtis, Alessio Signorini, Melissa Pugh, Jie Shen, Roy Yaari, Vera Maljkovic, Marc Sunga, Han Hee Song, Hyun Joon Jung, Belle Tseng, and Andrew Trister
    In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2019
    Oral Presentation & Best Paper Runner-Up
  4. Semi-Supervised Histology Classification using Deep Multiple Instance Larning and Contrastive Predictive Coding
    Ming Y Lu, Richard J Chen, Jingwen Wang, Debora Dillon, and Faisal Mahmood
    In ML4H Workshop in Advances in Neural Information Processing Systems (NeurIPS) 2019
    Oral Prsentation in SPIE Medical Imaging 2020


  1. Precision of Regional Wall Motion Estimates from Ultra-Low-Dose Cardiac CT using SQUEEZ
    Amir Pourmorteza, Noemie Keller, Richard J. Chen, Albert Lardo, Henry Halperin, Marcus Y. Chen, and Elliot McVeigh
    The International Journal of Cardiovascular Imaging 2018
  2. Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
    Faisal Mahmood, Richard J. Chen, and Nicholas J. Durr
    IEEE Transactions on Medical Imaging 2018
  3. Deep Learning with Cinematic Rendering: Fine-Tuning Deep Neural Networks using Photorealistic Medical Images
    Faisal Mahmood, Richard J. Chen, Sandra Sudarsky, Daphne Yu, and Nicholas J Durr
    Physics in Medicine & Biology 2018
  4. Rethinking Monocular Depth Estimation with Adversarial Training
    Richard J. Chen, Faisal Mahmood, Alan Yuille, and Nicholas J Durr
    arXiv preprint arXiv:1808.07528 2018


  1. Identifying metastases in sentinel lymph nodes with deep convolutional neural networks
    Richard Chen, Yating Jing, and Hunter Jackson
    arXiv preprint arXiv:1608.01658 2016


  1. Variations in Glycogen Synthesis in Human Pluripotent Stem Cells with Altered Pluripotent States
    Richard J. Chen, Guofeng Zhang, Susan H. Garfield, Yi-Jun Shi, Kevin G. Chen, Pamela G. Robey, and Richard D. Leapman
    PLOS ONE 2015
    2013 Intel STS Semifinalist