People
James S Duncan, Ph.D.
Ebenezer K. Hunt Professor and Chair, Department of Biomedical Engineering; Professor of Radiology & Biomedical Imaging; Professor of Electrical Engineering; Professor of Statistics & Data Science
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What do you do with Data Science?
Data driven learning for classification and regression problems in medical imaging/ medical image analysis, including for image segmentation, motion tracking and functional imaging. Some publications: X. Li, Y. Zhou, N. Dvornek, M. Zhuang, S. Gao, J. Zhuang, D. Scheinost, L.H. Staib, P. Ventola and J. S. Duncan, “BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis,” Medical Image Analysis, Vol. 74, December, 2021 Pp. 1-13. (in press). Available online at https://doi.org/10.1016/j.media.2021.102233 "B. Zhou, C. Liu and JS Duncan, “Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth,” International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), LNCS Vol. 12901, September, 2021. Pp. 47-56." "J. Zhuang, Y. Ding, T. Tang, N. Dvornek, S. Tatikonda and J. S. Duncan, “Mo- mentum Centering and Asynchronous Update for Adaptive Gradient Methods,” 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Aus- tralia. 2021. Pp. 1-12. "Juntang Zhuang, Sekhar Tatikonda, and James S Duncan, “Multiple-shooting Ad- joint Method for Whole- Brain Dynamic Causal Modeling, ” Information Processing in Medical Imaging (IPMI2021), LNCS Vol. 12729, Denmark, June 2021. Pp. 58-70." "Allen Lu, Shawn S. Ahn, Kevin Ta, Nripesh Parajuli, John C. Stendahl, Zhao Liu, Nabil E. Boutagy, Geng-Shi Jeng, Lawrence H. Staib, Matthew O’ Donnell, Albert J. Sinusas, and James S. Duncan, “Learning-based Regularization for Cardiac Strain Analysis via Domain Adaptation,” IEEE Transactions on Medical Imaging, Vol. 40, No. 9, September, 2021. Pp. 2233 - 2244."