Παρακολούθηση
Kang Li
Kang Li
Associate Professor, Rutgers University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα rutgers.edu
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
4572020
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
4522021
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
1752020
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
1392015
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
1242022
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
1102023
The inaccuracy of surface-measured model-derived tibiofemoral kinematics
K Li, L Zheng, S Tashman, X Zhang
Journal of Biomechanics, 2012
902012
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
802022
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
792018
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
772022
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
692023
A novel probabilistic formulation for locating and sizing emergency medical service stations
ZH Zhang, K Li
Annals of Operations Research 229, 813-835, 2015
692015
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
682019
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
642012
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
632019
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
522010
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
512022
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
512019
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
482018
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
452014
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