Feng Shi

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	すべて	2020 年以来
引用	19554	13608
h 指標	70	56
i10 指標	175	157

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161 件の論文

24 件の論文

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共著者

Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligence確認したメールアドレス: shanghaitech.edu.cn
Weili LinDirector and Professor, Biomedical Research Imaging Center, University of North Carolina at Chapel確認したメールアドレス: med.unc.edu
Li WangAssociate Professor, Director of Developing Brain Computing Lab, UNC-Chapel Hill確認したメールアドレス: med.unc.edu
Gang LiAssociate Professor, Department of Radiology, University of North Carolina at Chapel Hill確認したメールアドレス: med.unc.edu
John H. GilmoreUniversity of North Carolina確認したメールアドレス: med.unc.edu
Pew-Thian YapProfessor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel Hill確認したメールアドレス: med.unc.edu
Yaozong GaoUnited Imaging Intelligence (UII), Shanghai確認したメールアドレス: united-imaging.com
Qian WangSchool of Biomedical Engineering, ShanghaiTech University確認したメールアドレス: shanghaitech.edu.cn
Tianzi Jiang, MAE, FIEEE, FIAPR, FAI...Brainnetome Center, Institute of Automation, Chinese Academy of Sciences確認したメールアドレス: nlpr.ia.ac.cn
Debiao Li, PhDDirector, Biomedical Imaging Research Institute, Cedars-Sinai, Professor of Medicine, UCLA確認したメールアドレス: cshs.org
Jian Cheng (程健)Associate Professor, Beihang University確認したメールアドレス: buaa.edu.cn
Ehsan AdeliStanford University確認したメールアドレス: stanford.edu
Wei GaoProfessor and Director of Neuroimaging Research, Cedars Sinai Medical Center確認したメールアドレス: cshs.org
Yuhua ChenQ bio / UCLA確認したメールアドレス: q.bio
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel Hill確認したメールアドレス: email.unc.edu
Amanda E. LyallClinical Scientist - Denali Therapeutics確認したメールアドレス: dnli.com
Khosro BahramiApple, San Diego, CA確認したメールアドレス: e.ntu.edu.sg
Jiefeng JiangDepartment of Psychological and Brain Sciences, University of Iowa確認したメールアドレス: uiowa.edu
Seth David PollakBascom Distinguished Professor of Psychology, University of Wisconsin - Madison確認したメールアドレス: wisc.edu
J. Keith SmithUniversity of North Carolina確認したメールアドレス: med.unc.edu

フォロー

Feng Shi

United Imaging Intelligence

確認したメールアドレス: uii-ai.com - ホームページ

Biomedical Imaging Computer Science


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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	2156	2018
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	1598	2020
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	599	2011
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	556	2009
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	523	2013
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	480	2011
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	427	2018
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	419	2015
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	406	2020
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	403	2021
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	336	2018
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	334	2015
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	273	2020
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	270	2014
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	264	2015
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	254	2020
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	249	2011
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	242	2009
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	230	2010
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	224	2011

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