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Proceedings of the National Academy of Sciences of the United States of America|September 8, 2021
Prediction of arrhythmia susceptibility through mathematical modeling and machine learningMeera Varshneya, Xueyan Mei, Eric A SobieNMR in Biomedicine|March 25, 2024
A review of self-supervised, generative, and few-shot deep learning methods for data-limited magnetic resonance imaging segmentationZelong Liu, Komal Kainth, Alexander Zhou, et al.Journal of Thoracic Imaging|May 20, 2020
Computed Tomography Features of Coronavirus Disease 2019 (COVID-19): A Review for RadiologistsNikhil Goyal, Michael Chung, Adam Bernheim, et al.AJR. American Journal of Roentgenology|October 6, 2021
Radiology Implementation Considerations for Artificial Intelligence (AI) Applied to COVID-19, From the <i>AJR</i> Special Series on AI ApplicationsMatthew D Li, Ken Chang, Xueyan Mei, et al.Bioengineering (Basel, Switzerland)|December 23, 2023
Discovery Viewer (DV): Web-Based Medical AI Model Development Platform and Deployment HubValentin Fauveau, Sean Sun, Zelong Liu, et al.BJR Open|December 8, 2025
Artificial intelligence in musculoskeletal radiology: practical aspects and latest perspectivesMickael Tordjman, Jan Fritz, Nor-Eddine Regnard, et al.AJR. American Journal of Roentgenology|May 23, 2020
CT Features of Coronavirus Disease (COVID-19) in 30 Pediatric PatientsSharon Steinberger, Bin Lin, Adam Bernheim, et al.Bioengineering (Basel, Switzerland)|July 29, 2023
Deep Learning for Automated Measurement of Patellofemoral Anatomic LandmarksZelong Liu, Alexander Zhou, Valentin Fauveau, et al.Cancers|September 23, 2022
U-Net Based Segmentation and Characterization of GliomasShingo Kihira, Xueyan Mei, Keon Mahmoudi, et al.Journal of Thoracic Disease|March 31, 2018
Predicting malignancy of pulmonary ground-glass nodules and their invasiveness by random forestXueyan Mei, Rui Wang, Wenjia Yang, et al.Pageof 3