Zhengwang Wu

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Gang LiProfessor, Department of Radiology, University of North Carolina at Chapel HillE-mailová adresa ověřena na: med.unc.edu
Li WangAssociate Professor, Director of Developing Brain Computing Lab, UNC-Chapel HillE-mailová adresa ověřena na: med.unc.edu
Weili LinDirector and Professor, Biomedical Research Imaging Center, University of North Carolina at ChapelE-mailová adresa ověřena na: med.unc.edu
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceE-mailová adresa ověřena na: shanghaitech.edu.cn
Fan WangXi'an Jiaotong UniversityE-mailová adresa ověřena na: xjtu.edu.cn
Pew-Thian YapProfessor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel HillE-mailová adresa ověřena na: med.unc.edu
Dan HuUniversity of North Carolina at Chapel HillE-mailová adresa ověřena na: email.unc.edu
Han ZhangShanghaiTech UniversityE-mailová adresa ověřena na: shanghaitech.edu.cn
Yu MengGraduate Student of Computer Science, University of North Carolina at Chapel HillE-mailová adresa ověřena na: cs.unc.edu
John H. GilmoreUniversity of North CarolinaE-mailová adresa ověřena na: med.unc.edu
Tengfei LiResearch Assistant Professor. Department of Radiology, University of North Carolina at Chapel HillE-mailová adresa ověřena na: med.unc.edu
Sahar AhmadResearch Instructor, University of North Carolina, Chapel HillE-mailová adresa ověřena na: email.unc.edu
Jing XiaResearch Fellow, Nanyang Technological UniversityE-mailová adresa ověřena na: ntu.edu.sg
Chunfeng LianProfessor, Xi'an Jiaotong UniversityE-mailová adresa ověřena na: xjtu.edu.cn
Islem RekikBASIRA labE-mailová adresa ověřena na: imperial.ac.uk
Ehsan AdeliStanford UniversityE-mailová adresa ověřena na: stanford.edu
Dong NieuncE-mailová adresa ověřena na: cs.unc.edu
Sang Hyun ParkDaegu Gyeongbuk Institute of Science & Technology, South KoreaE-mailová adresa ověřena na: dgist.ac.kr
Xiaoyi JiangProfessor of Computer Science, University of MünsterE-mailová adresa ověřena na: uni-muenster.de
Fenqiang ZhaoAlibaba DAMO Academy

Sledovat

Zhengwang Wu

UNC-Chapel Hill

E-mailová adresa ověřena na: med.unc.edu

Medical image analysis Computer Vision and Pattern Recognition Machine Learning


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ... IEEE transactions on medical imaging 38 (9), 2219-2230, 2019	205	2019
Computational neuroanatomy of baby brains: A review G Li, L Wang, PT Yap, F Wang, Z Wu, Y Meng, P Dong, J Kim, F Shi, ... NeuroImage 185, 906-925, 2019	173	2019
Developmental topography of cortical thickness during infancy F Wang, C Lian, Z Wu, H Zhang, T Li, Y Meng, L Wang, W Lin, D Shen, ... Proceedings of the National Academy of Sciences 116 (32), 15855-15860, 2019	128	2019
Volume-based analysis of 6-month-old infant brain MRI for autism biomarker identification and early diagnosis L Wang, G Li, F Shi, X Cao, C Lian, D Nie, M Liu, H Zhang, G Li, Z Wu, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	96	2018
Multi-site infant brain segmentation algorithms: the iSeg-2019 challenge Y Sun, K Gao, Z Wu, G Li, X Zong, Z Lei, Y Wei, J Ma, X Yang, X Feng, ... IEEE Transactions on Medical Imaging 40 (5), 1363-1376, 2021	94	2021
Spherical U-Net on cortical surfaces: methods and applications F Zhao, S Xia, Z Wu, D Duan, L Wang, W Lin, JH Gilmore, D Shen, G Li Information Processing in Medical Imaging: 26th International Conference …, 2019	81	2019
iBEAT V2. 0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction L Wang, Z Wu, L Chen, Y Sun, W Lin, G Li Nature protocols 18 (5), 1488-1509, 2023	74	2023
Harmonization of infant cortical thickness using surface-to-surface cycle-consistent adversarial networks F Zhao, Z Wu, L Wang, W Lin, S Xia, D Shen, G Li, ... International conference on medical image computing and computer-assisted …, 2019	62	2019
Spherical deformable u-net: Application to cortical surface parcellation and development prediction F Zhao, Z Wu, L Wang, W Lin, JH Gilmore, S Xia, D Shen, G Li IEEE transactions on medical imaging 40 (4), 1217-1228, 2021	55	2021
Disentangled-multimodal adversarial autoencoder: Application to infant age prediction with incomplete multimodal neuroimages D Hu, H Zhang, Z Wu, F Wang, L Wang, JK Smith, W Lin, G Li, D Shen IEEE Transactions on Medical Imaging 39 (12), 4137-4149, 2020	55	2020
Brain connectivity based graph convolutional networks and its application to infant age prediction Y Li, X Zhang, J Nie, G Zhang, R Fang, X Xu, Z Wu, D Hu, L Wang, ... IEEE transactions on medical imaging 41 (10), 2764-2776, 2022	44	2022
Construction of 4D infant cortical surface atlases with sharp folding patterns via spherical patch‐based group‐wise sparse representation Z Wu, L Wang, W Lin, JH Gilmore, G Li, D Shen Human brain mapping 40 (13), 3860-3880, 2019	43	2019
Robust brain ROI segmentation by deformation regression and deformable shape model Z Wu, Y Guo, SH Park, Y Gao, P Dong, SW Lee, D Shen Medical image analysis 43, 198-213, 2018	36	2018
S3Reg: superfast spherical surface registration based on deep learning F Zhao, Z Wu, F Wang, W Lin, S Xia, D Shen, L Wang, G Li IEEE transactions on medical imaging 40 (8), 1964-1976, 2021	35	2021
Existence of functional connectome fingerprint during infancy and its stability over months D Hu, F Wang, H Zhang, Z Wu, Z Zhou, G Li, L Wang, W Lin, G Li, ... Journal of Neuroscience 42 (3), 377-389, 2022	33	2022
Mapping hemispheric asymmetries of the macaque cerebral cortex during early brain development J Xia, F Wang, Z Wu, L Wang, C Zhang, D Shen, G Li Human brain mapping 41 (1), 95-106, 2020	33	2020
Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications D Duan, S Xia, I Rekik, Y Meng, Z Wu, L Wang, W Lin, JH Gilmore, ... NeuroImage 185, 575-592, 2019	33	2019
Learning longitudinal classification-regression model for infant hippocampus segmentation Y Guo, Z Wu, D Shen Neurocomputing 391, 191-198, 2020	31	2020
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort L Chen, Z Wu, D Hu, Y Wang, F Zhao, T Zhong, W Lin, L Wang, G Li Neuroimage 253, 119097, 2022	30	2022
Correlation between hippocampus MRI radiomic features and resting-state intrahippocampal functional connectivity in Alzheimer’s disease Q Feng, M Wang, Q Song, Z Wu, H Jiang, P Pang, Z Liao, E Yu, Z Ding Frontiers in neuroscience 13, 435, 2019	30	2019

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