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Feng Shi
Feng Shi
United Imaging Intelligence
Verified email at uii-ai.com - Homepage
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Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
18332018
Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19
F Shi, J Wang, J Shi, Z Wu, Q Wang, Z Tang, K He, Y Shi, D Shen
IEEE reviews in biomedical engineering 14, 4-15, 2020
14892020
Infant Brain Atlases from Neonates to 1-and 2-year-olds
F Shi, PT Yap, G Wu, H Jia, JH Gilmore, W Lin, D Shen
PloS one 6 (4), e18746, 2011
5652011
Hippocampal volume and asymmetry in mild cognitive impairment and Alzheimer's disease: Meta‐analyses of MRI studies
F Shi, B Liu, Y Zhou, C Yu, T Jiang
Hippocampus 19 (11), 1055-1064, 2009
5332009
Family poverty affects the rate of human infant brain growth
JL Hanson, N Hair, DG Shen, F Shi, JH Gilmore, BL Wolfe, SD Pollak
PloS one 8 (12), e80954, 2013
4892013
Longitudinal development of cortical and subcortical gray matter from birth to 2 years
JH Gilmore, F Shi, SL Woolson, RC Knickmeyer, SJ Short, W Lin, H Zhu, ...
Cerebral Cortex, 2011
4452011
Efficient and accurate MRI super-resolution using a generative adversarial network and 3D multi-level densely connected network
Y Chen, F Shi, AG Christodoulou, Y Xie, Z Zhou, D Li
International conference on medical image computing and computer-assisted …, 2018
3942018
Dual-sampling attention network for diagnosis of COVID-19 from community acquired pneumonia
X Ouyang, J Huo, L Xia, F Shan, J Liu, Z Mo, F Yan, Z Ding, Q Yang, ...
IEEE Transactions on Medical Imaging 39 (8), 2595-2605, 2020
3832020
Dynamic development of regional cortical thickness and surface area in early childhood
AE Lyall, F Shi, X Geng, S Woolson, G Li, L Wang, RM Hamer, D Shen, ...
Cerebral cortex 25 (8), 2204-2212, 2015
3832015
Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification
F Shi, L Xia, F Shan, B Song, D Wu, Y Wei, H Yuan, H Jiang, Y He, Y Gao, ...
Physics in medicine & Biology 66 (6), 065031, 2021
3732021
Brain MRI super resolution using 3D deep densely connected neural networks
Y Chen, Y Xie, Z Zhou, F Shi, AG Christodoulou, D Li
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018
3082018
LRTV: MR image super-resolution with low-rank and total variation regularizations
F Shi, J Cheng, L Wang, PT Yap, D Shen
IEEE transactions on medical imaging 34 (12), 2459-2466, 2015
3062015
Diagnosis of coronavirus disease 2019 (COVID-19) with structured latent multi-view representation learning
H Kang, L Xia, F Yan, Z Wan, F Shi, H Yuan, H Jiang, D Wu, H Sui, ...
IEEE transactions on medical imaging 39 (8), 2606-2614, 2020
2702020
Mapping longitudinal development of local cortical gyrification in infants from birth to 2 years of age
G Li, L Wang, F Shi, AE Lyall, W Lin, JH Gilmore, D Shen
Journal of Neuroscience 34 (12), 4228-4238, 2014
2572014
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images
L Wang, Y Gao, F Shi, G Li, JH Gilmore, W Lin, D Shen
NeuroImage 108, 160-172, 2015
2512015
Brain anatomical networks in early human brain development
Y Fan, F Shi, JK Smith, W Lin, JH Gilmore, D Shen
Neuroimage 54 (3), 1862-1871, 2011
2372011
Thick visual cortex in the early blind
J Jiang, W Zhu, F Shi, Y Liu, J Li, W Qin, K Li, C Yu, T Jiang
Journal of Neuroscience 29 (7), 2205-2211, 2009
2352009
Neonatal brain image segmentation in longitudinal MRI studies
F Shi, Y Fan, S Tang, JH Gilmore, W Lin, D Shen
Neuroimage 49 (1), 391-400, 2010
2292010
Adaptive feature selection guided deep forest for covid-19 classification with chest ct
L Sun, Z Mo, F Yan, L Xia, F Shan, Z Ding, B Song, W Gao, W Shao, F Shi, ...
IEEE Journal of Biomedical and Health Informatics 24 (10), 2798-2805, 2020
2172020
Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features
Y Li, Y Wang, G Wu, F Shi, L Zhou, W Lin, D Shen
Neurobiology of Aging, 2011
2152011
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Articles 1–20