Dinggang Shen
Affiliations: | Computer Science | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
Computer Science, RadiologyGoogle:
"Dinggang Shen"Children
Sign in to add trainee| Feng Shi | post-doc | 2008-2013 | University of North Carolina at Chapel Hill School of Medicine (Neurotree) |
| Li Wang | post-doc | 2010-2015 | University of North Carolina at Chapel Hill School of Medicine |
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Publications
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| Liu F, Feng J, Chen G, et al. (2020) Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering. Medical Image Analysis. 68: 101828 |
| Zhong T, Zhao F, Pei Y, et al. (2020) DIKA-Nets: Domain-Invariant Knowledge-guided Attention Networks for Brain Skull Stripping of Early Developing Macaques. Neuroimage. 117649 |
| Zhang Y, Zhang H, Adeli E, et al. (2020) Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis. Ieee Transactions On Cybernetics |
| Di D, Shi F, Yan F, et al. (2020) Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Analysis. 68: 101910 |
| Ghribi O, Li G, Lin W, et al. (2020) Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. Medical Image Analysis. 68: 101853 |
| Shan F, Gao Y, Wang J, et al. (2020) Abnormal Lung Quantification in Chest CT Images of COVID-19 Patients with Deep Learning and its Application to Severity Prediction. Medical Physics |
| Shi F, Wei Y, Xia L, et al. (2020) Lung volume reduction and infection localization revealed in big data CT imaging of COVID-19. International Journal of Infectious Diseases : Ijid : Official Publication of the International Society For Infectious Diseases |
| Huang Y, Ahmad S, Fan J, et al. (2020) Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images. Medical Image Analysis. 67: 101817 |
| Hsu LM, Wang S, Ranadive P, et al. (2020) Automatic Skull Stripping of Rat and Mouse Brain MRI Data Using U-Net. Frontiers in Neuroscience. 14: 568614 |
| Zhu X, Song B, Shi F, et al. (2020) Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Medical Image Analysis. 67: 101824 |