Dinggang Shen

Computer Science University of North Carolina, Chapel Hill, Chapel Hill, NC 
Computer Science, Radiology
"Dinggang Shen"
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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
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