Kang Li

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Shaoting ZhangShanghai AI Lab; SenseTime ResearchEmail confirmado em pjlab.org.cn
Dimitris N. MetaxasBoard of Governors and Distinguished Professor of Computer Science, Rutgers UniversityEmail confirmado em cs.rutgers.edu
Guotai WangProfessor, University of Electronic Science and Technology of ChinaEmail confirmado em uestc.edu.cn
Zekun JiangCollege of Computer Science & West China Hospital, Sichuan University, ChinaEmail confirmado em stu.scu.edu.cn
Chaowei TanFocusAI Inc.Email confirmado em scarletmail.rutgers.edu
Zhennan YanSenior Research Scientist, SenseBrainEmail confirmado em sensebrain.site
Xi PengAssistant Professor, Computer Science, University of DelawareEmail confirmado em udel.edu
Scott TashmanSteadman Philippon Research InstituteEmail confirmado em sprivail.org
RAHIL MEHRIZIRutgers UniversityEmail confirmado em scarletmail.rutgers.edu
Xu XuNorth Carolina State UniversityEmail confirmado em ncsu.edu
Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M UniversityEmail confirmado em tamu.edu
Soheil GhafurianMerck & Co.Email confirmado em rutgers.edu
Dong YangNVIDIAEmail confirmado em nvidia.com
Vincent G. DuffyProfessor of Industrial Engineering, Purdue UniversityEmail confirmado em purdue.edu
Elsayed ElsayedRutgers UniversityEmail confirmado em soe.rutgers.edu
Ilker HacihalilogluDepartment of Radiology, Department of Medicine, University of British ColumbiaEmail confirmado em ubc.ca
Shiyi DuCarnegie Mellon UniversityEmail confirmado em cs.cmu.edu
Jingang YiProfessor, Department of Mechanical and Aerospace Engineering, Rutgers UniversityEmail confirmado em rutgers.edu
Zhi-Hai ZhangAssoicate professor of industrial engineering, Tsinghua UniversityEmail confirmado em tsinghua.edu.cn
Joon Ho WangSamsung Medical CenterEmail confirmado em samsung.com

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Kang Li

Associate Professor, Rutgers University

Email confirmado em rutgers.edu

Biomechanics Ergonomics Human Factors Medical Imaging


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	457	2020
On explainability of graph neural networks via subgraph explorations H Yuan, H Yu, J Wang, K Li, S Ji International conference on machine learning, 12241-12252, 2021	450	2021
Weakly supervised deep nuclei segmentation using partial points annotation in histopathology images H Qu, P Wu, Q Huang, J Yi, Z Yan, K Li, GM Riedlinger, S De, S Zhang, ... IEEE transactions on medical imaging 39 (11), 3655-3666, 2020	175	2020
Automated anatomical landmark detection on distal femur surface using convolutional neural network D Yang, S Zhang, Z Yan, C Tan, K Li, D Metaxas Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, 17-21, 2015	139	2015
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image X Luo, W Liao, J Xiao, J Chen, T Song, X Zhang, K Li, DN Metaxas, ... Medical Image Analysis 82, 102642, 2022	124	2022
Sam on medical images: A comprehensive study on three prompt modes D Cheng, Z Qin, Z Jiang, S Zhang, Q Lao, K Li arXiv preprint arXiv:2305.00035, 2023	110	2023
The inaccuracy of surface-measured model-derived tibiofemoral kinematics K Li, L Zheng, S Tashman, X Zhang Journal of Biomechanics, 2012	90	2012
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching X Luo, T Song, G Wang, J Chen, Y Chen, K Li, DN Metaxas, S Zhang Medical image analysis 75, 102287, 2022	80	2022
A computer vision based method for 3D posture estimation of symmetrical lifting R Mehrizi, X Peng, X Xu, S Zhang, D Metaxas, K Li Journal of biomechanics 69, 40-46, 2018	78	2018
Medical image understanding with pretrained vision language models: A comprehensive study Z Qin, H Yi, Q Lao, K Li arXiv preprint arXiv:2209.15517, 2022	75	2022
A novel probabilistic formulation for locating and sizing emergency medical service stations ZH Zhang, K Li Annals of Operations Research 229, 813-835, 2015	69	2015
Medlsam: Localize and segment anything model for 3d medical images W Lei, X Wei, X Zhang, K Li, S Zhang arXiv preprint arXiv:2306.14752, 2023	68	2023
Towards efficient u-nets: A coupled and quantized approach Z Tang, X Peng, K Li, DN Metaxas IEEE transactions on pattern analysis and machine intelligence 42 (8), 2038-2050, 2019	68	2019
In Vivo Analysis of the Isolated Posterior Cruciate Ligament–Deficient Knee During Functional Activities K Goyal, S Tashman, JH Wang, K Li, X Zhang, C Harner The American Journal of Sports Medicine, 2012	64	2012
Vertebrae identification and localization utilizing fully convolutional networks and a hidden Markov model Y Chen, Y Gao, K Li, L Zhao, J Zhao IEEE Transactions on Medical Imaging 39 (2), 387-399, 2019	63	2019
A computerized analysis of femoral condyle radii in ACL intact and contralateral ACL reconstructed knees using 3D CT R Siebold, J Axe, JJ Irrgang, K Li, S Tashman, FH Fu Knee Surgery, Sports Traumatology, Arthroscopy 18 (1), 26-31, 2010	52	2010
Thyroid nodule segmentation and classification in ultrasound images through intra-and inter-task consistent learning Q Kang, Q Lao, Y Li, Z Jiang, Y Qiu, S Zhang, K Li Medical image analysis 79, 102443, 2022	51	2022
Predicting 3-D lower back joint load in lifting: A deep pose estimation approach R Mehrizi, X Peng, DN Metaxas, X Xu, S Zhang, K Li IEEE Transactions on Human-Machine Systems 49 (1), 85-94, 2019	51	2019
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation C Tan, L Zhao, Z Yan, K Li, D Metaxas, Y Zhan 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018	48	2018
Deformable models with sparsity constraints for cardiac motion analysis Y Yu, S Zhang, K Li, D Metaxas, L Axel Medical image analysis 18 (6), 927-937, 2014	45	2014

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