December 18th, 2023
-Started serving as the Associate Editor for IEEE Transactions on Artificial Intelligence.
+ Started serving as the Associate Editor for IEEE Transactions on Artificial Intelligence.
December 13th, 2023
@@ -472,13 +472,12 @@ Nominated for the best student paper award of
- I am an Assistant Professor (since 2023) at Massachusetts General Hospital and Harvard Medical School. I received my postdoc training in Massachusetts General Hospital under the co-mentorship of Associate Prof. Quanzheng Li and Distinguished Professor, National Academy of Medicine member James H. Thrall. I received my PhD in Computer Science from the University of Georgia, supervised by Distinguished Professor, AIMBE Fellow Tianming Liu in 2016. My primary research interest is medical data analysis with focus on clinical data streamlining, big data frameworks, multi-modal multi-scale image fusion, and foundation models.
+ I am an Assistant Professor at the Massachusetts General Hospital and Harvard Medical School, Department of Radiology, and an Affiliate Faculty Member at the Kempner Institute for Natural and Artificial Intelligence of Harvard University. I received my postdoc training in Massachusetts General Hospital under the co-mentorship of Associate Prof. Quanzheng Li and Distinguished Professor, National Academy of Medicine member James H. Thrall. I received my PhD in Computer Science from the University of Georgia, supervised by Distinguished Professor, AIMBE Fellow Tianming Liu in 2016. My primary research interest is medical data analysis with focus on clinical data streamlining, big data frameworks, multi-modal multi-scale image fusion, and foundation models.
Services (selected):
-
Editorial Boards: Frontiers in Radiology, Frontiers in Oncology, Frontiers in Neuroscience, Frontiers in Cardiovascular Medicine, Meta-Radiology
+ Associate Editor: Frontiers in Oncology, Frontiers in Radiology, Frontiers in Neuroscience, Frontiers in Cardiovascular Medicine, Meta-Radiology, BMC Biomedical Engineering, IEEE Transactions on Artificial Intelligence
Committee Service: Founding Chair of the International Workshop on Multiscale Multimodal Medical Imaging (MMMI), Area Chair of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Program Committee of ACM SIGKDD Workshop on Mining and Learning from Time Series (MILETS), International Workshop on Medical Image Learning with Noisy and Limited Data (MILLanD), International Conference on Brain Informatics (BI), and Machine Learning in Medical Imaging (MLMI)
- Ad-hoc Reviews: ICLR, ICML, NeurIPS, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging, Medical Image Analysis, Nature Communications, Neurocomputing, Pattern Recognition , Physical Communication, Progress in Neurobiology
- Publications: 100+ papers with h-index of 30, see my Google Scholar page for more information.
+ Publications: 100+ papers with h-index of 33, see my Google Scholar page for more information.
I am an Assistant Professor (since 2023) at Massachusetts General Hospital and Harvard Medical School. I received my postdoc training in Massachusetts General Hospital under the co-mentorship of Associate Prof. Quanzheng Li and Distinguished Professor, National Academy of Medicine member James H. Thrall. I received my PhD in Computer Science from the University of Georgia, supervised by Distinguished Professor, AIMBE Fellow Tianming Liu in 2016. My primary research interest is medical data analysis with focus on clinical data streamlining, big data frameworks, multi-modal multi-scale image fusion, and foundation models.
+I am an Assistant Professor at the Massachusetts General Hospital and Harvard Medical School, Department of Radiology, and an Affiliate Faculty Member at the Kempner Institute for Natural and Artificial Intelligence of Harvard University. I received my postdoc training in Massachusetts General Hospital under the co-mentorship of Associate Prof. Quanzheng Li and Distinguished Professor, National Academy of Medicine member James H. Thrall. I received my PhD in Computer Science from the University of Georgia, supervised by Distinguished Professor, AIMBE Fellow Tianming Liu in 2016. My primary research interest is medical data analysis with focus on clinical data streamlining, big data frameworks, multi-modal multi-scale image fusion, and foundation models.
Services (selected): -
Publications: 100+ papers with h-index of 30, see my Google Scholar page for more information.
+Publications: 100+ papers with h-index of 33, see my Google Scholar page for more information.