Chenyu You

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James S. DuncanEbenezer K. Hunt Professor of Biomedical Engineering, Radiology, Electr. Engr., Yale UniversityAdresse e-mail validée de yale.edu
Lawrence StaibDepts. of Radiology & Biomedical Imaging, Biomedical Engineering and Electrical Engineering, YaleAdresse e-mail validée de yale.edu
Ge WangRensselaer Polytechnic InstituteAdresse e-mail validée de rpi.edu
Xiaohui XieProfessor of Computer Science, University of California, IrvineAdresse e-mail validée de uci.edu
David A. CliftonChair of Clinical Machine Learning, University of OxfordAdresse e-mail validée de eng.ox.ac.uk
Punam Kumar SahaProfessor, IEEE Fellow, AIMBE Fellow, IAPR Fellow, University of IowaAdresse e-mail validée de uiowa.edu
Michael Vannierprofessor emeritus of radiology, university of chicagoAdresse e-mail validée de uchicago.edu
Eric A. HoffmanProfessor of Radiology, University of IowaAdresse e-mail validée de uiowa.edu
Zhangyang (Atlas) WangXTX Markets & University of Texas at AustinAdresse e-mail validée de utexas.edu
Sandeep P ChinchaliAssistant Professor, UT Austin ECEAdresse e-mail validée de utexas.edu
Ufuk TopcuThe University of Texas at AustinAdresse e-mail validée de utexas.edu
S. Kevin ZhouProfessor, USTC, FAIMBE, FIAMBE, FIEEE, FMICCAI, FNAIAdresse e-mail validée de ustc.edu.cn
Leo, Lianyi HanNational Center for Biotechnology InformationAdresse e-mail validée de ncbi.nlm.nih.gov
Jasjeet SekhonEugene Meyer Professor of Data Science, Political Science, and Statistics, Yale UniversityAdresse e-mail validée de yale.edu
Juntang ZhuangxAI, previously at OpenAIAdresse e-mail validée de x.ai
Sarang JoshiScientific Computing and Imaging Institute, Professor of Biomedical engineering, University of UtahAdresse e-mail validée de sci.utah.edu
Lifu HuangAssistant Professor, UC DavisAdresse e-mail validée de ucdavis.edu

Suivre

Chenyu You

Assistant Professor of Applied Mathematics & Statistics and Computer Science, Stony Brook University

Adresse e-mail validée de stonybrook.edu - Page d'accueil

Machine Learning AI for Health Computer Vision Medical Image Analysis Multimedia


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Segment anything in medical images J Ma, Y He, F Li, L Han, C You, B Wang Nature Communications 15 (1), 654, 2024	1329	2024
CT super-resolution GAN constrained by the identical, residual, and cycle learning ensemble (GAN-CIRCLE) C You, G Li, Y Zhang, X Zhang, H Shan, M Li, S Ju, Z Zhao, Z Zhang, ... IEEE transactions on medical imaging 39 (1), 188-203, 2019	530	2019
SimCVD: Simple contrastive voxel-wise representation distillation for semi-supervised medical image segmentation C You, Y Zhou, R Zhao, L Staib, JS Duncan IEEE Transactions on Medical Imaging 41 (9), 2228-2237, 2022	271	2022
Structurally-sensitive multi-scale deep neural network for low-dose CT denoising C You, Q Yang, H Shan, L Gjesteby, G Li, S Ju, Z Zhang, Z Zhao, Y Zhang, ... IEEE access 6, 41839-41855, 2018	262	2018
Class-aware adversarial transformers for medical image segmentation C You, R Zhao, F Liu, S Dong, S Chinchali, U Topcu, L Staib, J Duncan Advances in Neural Information Processing Systems 35, 29582-29596, 2022	144	2022
Momentum contrastive voxel-wise representation learning for semi-supervised volumetric medical image segmentation C You, R Zhao, LH Staib, JS Duncan International Conference on Medical Image Computing and Computer-Assisted …, 2022	137	2022
Auto-encoding knowledge graph for unsupervised medical report generation F Liu, C You, X Wu, S Ge, X Sun Advances in Neural Information Processing Systems 34, 16266-16279, 2021	128	2021
NuSeT: A deep learning tool for reliably separating and analyzing crowded cells L Yang, RP Ghosh, JM Franklin, S Chen, C You, RR Narayan, ... PLoS computational biology 16 (9), e1008193, 2020	108	2020
A survey of large language models in medicine: Progress, application, and challenge H Zhou, F Liu, B Gu, X Zou, J Huang, J Wu, Y Li, SS Chen, P Zhou, J Liu, ... arXiv preprint arXiv:2311.05112, 2023	102	2023
Bootstrapping semi-supervised medical image segmentation with anatomical-aware contrastive distillation C You, W Dai, Y Min, L Staib, JS Duncan International conference on information processing in medical imaging, 641-653, 2023	89	2023
Rethinking semi-supervised medical image segmentation: A variance-reduction perspective C You, W Dai, Y Min, F Liu, D Clifton, SK Zhou, L Staib, J Duncan Advances in neural information processing systems 36, 2024	86	2024
Kergnns: Interpretable graph neural networks with graph kernels A Feng, C You, S Wang, L Tassiulas Proceedings of the AAAI conference on artificial intelligence 36 (6), 6614-6622, 2022	85	2022
Benchmarking large language models on cmexam-a comprehensive chinese medical exam dataset J Liu, P Zhou, Y Hua, D Chong, Z Tian, A Liu, H Wang, C You, Z Guo, ... Advances in Neural Information Processing Systems 36, 2024	74	2024
Unsupervised wasserstein distance guided domain adaptation for 3d multi-domain liver segmentation C You, J Yang, J Chapiro, JS Duncan Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020	72	2020
Incremental learning meets transfer learning: Application to multi-site prostate mri segmentation C You, J Xiang, K Su, X Zhang, S Dong, J Onofrey, L Staib, JS Duncan International Workshop on Distributed, Collaborative, and Federated Learning …, 2022	71	2022
Low-dose CT via deep CNN with skip connection and network-in-network C You, L Yang, Y Zhang, G Wang Developments in X-Ray tomography XII 11113, 429-434, 2019	65	2019
Mine your own anatomy: Revisiting medical image segmentation with extremely limited labels C You, W Dai, F Liu, Y Min, NC Dvornek, X Li, DA Clifton, L Staib, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024	63	2024
A medical multimodal large language model for future pandemics F Liu, T Zhu, X Wu, B Yang, C You, C Wang, L Lu, Z Liu, Y Zheng, X Sun, ... NPJ Digital Medicine 6 (1), 226, 2023	61	2023
Self-supervised contrastive cross-modality representation learning for spoken question answering C You, N Chen, Y Zou arXiv preprint arXiv:2109.03381, 2021	61	2021
Super-resolution MRI through deep learning Q Lyu, C You, H Shan, G Wang arXiv preprint arXiv:1810.06776 (* Equal Contribution), 2018	61	2018

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