Shaoting Zhang

Citirano

	Sve	Od 2019.
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i10-indeks	187	162

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Suautori

Dimitris N. MetaxasBoard of Governors and Distinguished Professor of Computer Science, Rutgers UniversityPotvrđena adresa e-pošte na cs.rutgers.edu
Guotai WangProfessor, University of Electronic Science and Technology of ChinaPotvrđena adresa e-pošte na uestc.edu.cn
Hongsheng Li (李鸿升)The Chinese University of Hong KongPotvrđena adresa e-pošte na ee.cuhk.edu.hk
Kang LiAssociate Professor, Rutgers UniversityPotvrđena adresa e-pošte na rutgers.edu
Junzhou HuangJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at ArlingtonPotvrđena adresa e-pošte na uta.edu
Sharon X. HuangProfessor in College of Information Sciences and Technology at Penn State UniversityPotvrđena adresa e-pošte na psu.edu
Xiaofan ZhangAssociate Professor at Shanghai Jiao Tong UniversityPotvrđena adresa e-pošte na sjtu.edu.cn
Xiangde LuoStanford University/West China Hospital/UESTCPotvrđena adresa e-pošte na stanford.edu
Yiqiang ZhanSiemensPotvrđena adresa e-pošte na siemens.com
Ran GuNational Institute of HealthPotvrđena adresa e-pošte na nih.gov
Mu ZhouStanford University; Rutgers UniversityPotvrđena adresa e-pošte na stanford.edu
Leon AxelNYU School of MedicinePotvrđena adresa e-pošte na nyumc.org
Han ZhangResearch Scientist, Google DeepmindPotvrđena adresa e-pošte na google.com
Zhongyu LiXi'an Jiaotong UniversityPotvrđena adresa e-pošte na xjtu.edu.cn
Kexin DingPostdoctoral Researcher, Rutgers UniversityPotvrđena adresa e-pošte na cs.rutgers.edu
Ming YangFacebook AI Research - NEC Laboratories AmericaPotvrđena adresa e-pošte na u.northwestern.edu
Xiaosong WangShanghai AI LaboratoryPotvrđena adresa e-pošte na pjlab.org.cn
Dequan WangShanghai Jiao Tong UniversityPotvrđena adresa e-pošte na sjtu.edu.cn
Zhongzhen HuangShanghai Jiao Tong UniversityPotvrđena adresa e-pošte na sjtu.edu.cn
Qi DOUAssistant Professor, The Chinese University of Hong KongPotvrđena adresa e-pošte na cse.cuhk.edu.hk

Prati

Shaoting Zhang

Shanghai AI Lab; SenseTime Research

Potvrđena adresa e-pošte na pjlab.org.cn

Medical Image Analysis Computer Vision Foundation Models


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks H Zhang, T Xu, H Li, S Zhang, X Huang, X Wang, D Metaxas IEEE Int. Conf. Comput. Vision (ICCV), 5907-5915, 2017	3749	2017
Stackgan++: Realistic image synthesis with stacked generative adversarial networks H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, DN Metaxas IEEE transactions on pattern analysis and machine intelligence 41 (8), 1947-1962, 2018	1634	2018
CA-Net: Comprehensive attention convolutional neural networks for explainable medical image segmentation R Gu, G Wang, T Song, R Huang, M Aertsen, J Deprest, S Ourselin, ... IEEE transactions on medical imaging 40 (2), 699-711, 2020	541	2020
Semi-supervised Medical Image Segmentation through Dual-task Consistency X Luo, J Chen, T Song, Y Chen, G Wang, S Zhang arXiv preprint arXiv:2009.04448, 2023	520	2023
Multispectral Deep Neural Networks for Pedestrian Detection J Liu, S Zhang, S Wang, DN Metaxas Proceedings of the British Machine Vision Conference (BMVC), 2016	488	2016
A noise-robust framework for automatic segmentation of covid-19 pneumonia lesions from ct images G Wang, X Liu, C Li, Z Xu, J Ruan, H Zhu, T Meng, K Li, N Huang, ... IEEE Transactions on Medical Imaging 39 (8), 2653-2663, 2020	451	2020
Efficient MR image reconstruction for compressed MR imaging J Huang, S Zhang, D Metaxas Medical Image Analysis 15 (5), 670–679, 2011	376	2011
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-grained Recognition H Zhang, T Xu, M Elhoseiny, X Huang, S Zhang, A Elgammal, D Metaxas	362	2016
Image retrieval via probabilistic hypergraph ranking Y Huang, Q Liu, S Zhang, DN Metaxas 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	347	2010
Pose-free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model X Yu, J Huang, S Zhang, W Yan, DN Metaxas International Conference on Computer Vision, 2013	334	2013
Towards robust and effective shape modeling: Sparse shape composition S Zhang, Y Zhan, M Dewan, J Huang, DN Metaxas, XS Zhou Medical Image Analysis 16 (1), 265–277, 2012	297	2012
Idrid: Diabetic retinopathy–segmentation and grading challenge P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ... Medical image analysis 59, 101561, 2020	296	2020
Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition Z Yan, Y Zhan, Z Peng, S Liao, Y Shinagawa, S Zhang, DN Metaxas, ... IEEE transactions on medical imaging 35 (5), 1332-1343, 2016	285	2016
Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval X Zhang, W Liu, M Dundar, S Badve, S Zhang IEEE Transactions on Medical Imaging 34 (2), 496-506, 2015	269	2015
Embedding label structures for fine-grained feature representation X Zhang, F Zhou, Y Lin, S Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	248	2016
Automatic image annotation using group sparsity S Zhang, J Huang, Y Huang, Y Yu, H Li, DN Metaxas Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010	248	2010
Large-scale retrieval for medical image analytics: A comprehensive review Z Li, X Zhang, H Müller, S Zhang Medical Image Analysis 43, 66-84, 2018	246	2018
Efficient semi-supervised gross target volume of nasopharyngeal carcinoma segmentation via uncertainty rectified pyramid consistency X Luo, W Liao, J Chen, T Song, Y Chen, S Zhang, N Chen, G Wang, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021	238	2021
Semi-supervised medical image segmentation via cross teaching between cnn and transformer X Luo, M Hu, T Song, G Wang, S Zhang International Conference on Medical Imaging with Deep Learning, 820-833, 2022	233	2022
Multimodal deep learning for cervical dysplasia diagnosis T Xu, H Zhang, X Huang, S Zhang, DN Metaxas Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016	228	2016

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