Yingying Zhu

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Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterVerified email at nih.gov
Guorong WuAssociate ProfessorVerified email at med.unc.edu
Lin GuResearch Scientist, RIKEN AIP, University of TokyoVerified email at mi.t.u-tokyo.ac.jp
Simon LuceyDirector, Australian Institute for Machine Learning (AIML), University of AdelaideVerified email at adelaide.edu
Zhiyong LuSenior Investigator, NLM; Adjunct Professor of CS, UIUCVerified email at nih.gov
Yuxing TangAlibaba DAMO Academy USAVerified email at alibaba-inc.com
Dan EltonNational Human Genome Research Institute, NIHVerified email at nih.gov
Youbao TangPAII Inc.Verified email at paii-labs.com
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
Daniel KauferUniversity of North Carolina at Chapel HillVerified email at neurology.unc.edu
Yifan PengAssociate Professor at Weill Cornell MedicineVerified email at med.cornell.edu
Jing XiaoGroup Chief Scientist, Ping An Insurance GroupVerified email at pingan.com.cn
Perry J. PickhardtProfessor of Radiology, University of WisconsinVerified email at uwhealth.org
Qingyu ChenBiomedical Informatics & Data Science, Yale University; NCBI-NLM, National Institutes of HealthVerified email at yale.edu
Wei GaoProfessor and Director of Neuroimaging Research, Cedars Sinai Medical CenterVerified email at cshs.org
Veit SandfortRadiology Resident, StanfordVerified email at stanford.edu
Paul LaurientiWake Forest School of MedicineVerified email at wakehealth.edu
Dong NieuncVerified email at cs.unc.edu
Mert R. SabuncuCornell University, Cornell Tech, Weill Cornell MedicineVerified email at cornell.edu
Alzheimer's Disease Neuroimaging Ini...Verified email at njit.edu

Yingying Zhu

University of Texas at Arlington Assistant Professor

Verified email at uta.edu - Homepage

Computer Vision Medical Imaging Analysis Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Complex non-rigid motion 3d reconstruction by union of subspaces Y Zhu, D Huang, F De La Torre, S Lucey Proceedings of the IEEE conference on computer vision and pattern …, 2014	144	2014
Convolutional sparse coding for trajectory reconstruction Y Zhu, S Lucey IEEE transactions on pattern analysis and machine intelligence 37 (3), 529-540, 2013	117	2013
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature Y Peng, Y Tang, S Lee, Y Zhu, RM Summers, Z Lu IEEE transactions on big data 7 (1), 3-12, 2020	90	2020
Robust generalized maximum correntropy criterion algorithms for active noise control Y Zhu, H Zhao, X Zeng, B Chen IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1282-1292, 2020	87	2020
ENet: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans Y Tang, Y Tang, Y Zhu, J Xiao, RM Summers International Conference on Medical Image Computing and Computer-Assisted …, 2020	70	2020
A disentangled generative model for disease decomposition in chest x-rays via normal image synthesis Y Tang, Y Tang, Y Zhu, J Xiao, RM Summers Medical Image Analysis 67, 101839, 2021	66	2021
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning Z Wang, X Zhu, E Adeli, Y Zhu, F Nie, B Munsell, G Wu Medical image analysis 39, 218-230, 2017	64	2017
Automated generation of accurate\& fluent medical x-ray reports HTN Nguyen, D Nie, T Badamdorj, Y Liu, Y Zhu, J Truong, L Cheng arXiv preprint arXiv:2108.12126, 2021	59	2021
3D motion reconstruction for real-world camera motion Y Zhu, M Cox, S Lucey CVPR 2011, 1-8, 2011	56	2011
Early diagnosis of Alzheimer’s disease by joint feature selection and classification on temporally structured support vector machine Y Zhu, X Zhu, M Kim, D Shen, G Wu Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016	51	2016
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data Y Zhu, M Kim, X Zhu, D Kaufer, G Wu, ... Medical image analysis 67, 101825, 2021	45	2021
Dynamic fMRI networks predict success in a behavioral weight loss program among older adults F Mokhtari, WJ Rejeski, Y Zhu, G Wu, SL Simpson, JH Burdette, ... Neuroimage 173, 421-433, 2018	38	2018
Circular RNA expression profile in laryngeal squamous cell carcinoma revealed by microarray Y Fan, X Xia, Y Zhu, W Diao, X Zhu, Z Gao, X Chen Cellular Physiology and Biochemistry 50 (1), 342-352, 2018	37	2018
Extramedullary plasmacytoma: long-term clinical outcomes in a single-center in China and literature review X Zhu, L Wang, Y Zhu, W Diao, W Li, Z Gao, X Chen Ear, Nose & Throat Journal 100 (4), 227-232, 2021	35	2021
Cross-domain medical image translation by shared latent Gaussian mixture model Y Zhu, Y Tang, Y Tang, DC Elton, S Lee, PJ Pickhardt, RM Summers Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020	35	2020
Illumination adaptive transformer Z Cui, K Li, L Gu, S Su, P Gao, Z Jiang, Y Qiao, T Harada arXiv preprint arXiv:2205.14871, 2636-2645, 2022	34	2022
Identifying high order brain connectome biomarkers via learning on hypergraph C Zu, Y Gao, B Munsell, M Kim, Z Peng, Y Zhu, W Gao, D Zhang, D Shen, ... Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016 …, 2016	34	2016
Atherosclerotic plaque burden on abdominal CT: automated assessment with deep learning on noncontrast and contrast-enhanced scans RM Summers, DC Elton, S Lee, Y Zhu, J Liu, M Bagheri, V Sandfort, ... Academic radiology 28 (11), 1491-1499, 2021	33	2021
Source data‐free domain adaptation of object detector through domain‐specific perturbation L Xiong, M Ye, D Zhang, Y Gan, X Li, Y Zhu International Journal of Intelligent Systems 36 (8), 3746-3766, 2021	33	2021
Reveal consistent spatial-temporal patterns from dynamic functional connectivity for autism spectrum disorder identification Y Zhu, X Zhu, H Zhang, W Gao, D Shen, G Wu Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016	32	2016

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