Kang Li
Orcid: 0000-0002-8136-9816Affiliations:
- Sichuan University, West China Hospital, West China Biomedical Big Data Center, Chengdu, China
- Sichuan University Pittsburgh Institute, Chengdu, China
- Shanghai AI Laboratory, China
- Rutgers University, Department of Industrial and Systems Engineering, Piscataway, NJ, USA
- University of Illinois at Urbana-Champaign, IL, USA (PhD 2009)
According to our database1,
Kang Li
authored at least 79 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Medical Imaging, January, 2024
Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets.
IEEE Trans. Medical Imaging, January, 2024
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.
CoRR, 2024
Increasing SAM Zero-Shot Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation.
CoRR, 2024
2023
A Robust Region Control Approach for Simultaneous Trajectory Tracking and Compliant Physical Human-Robot Interaction.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
IEEE J. Biomed. Health Informatics, October, 2023
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation.
Medical Image Anal., October, 2023
MTMVC: Semi-supervised 3D hand pose estimation using multi-task and multi-view consistency.
J. Vis. Commun. Image Represent., September, 2023
A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation.
Medical Image Anal., August, 2023
Comput. Methods Programs Biomed., April, 2023
PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation.
IEEE Trans. Medical Imaging, 2023
Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures.
IEEE Trans. Medical Imaging, 2023
Medical Image Anal., 2023
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts.
CoRR, 2023
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset.
CoRR, 2023
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification.
CoRR, 2023
ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models.
CoRR, 2023
MedGPTEval: A Dataset and Benchmark to Evaluate Responses of Large Language Models in Medicine.
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Multi-Scale Convolution-Transformer Fusion Network for Endoscopic Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A Segmented Dynamic Movement Primitives-Based Gait Assistive Strategy for Soft Ankle Exosuit.
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023
Pre-Trained Tabular Transformer for Real-Time, Efficient, Stable Radiomics Data Processing: A Comprehensive Study.
Proceedings of the IEEE International Conference on E-health Networking, 2023
2022
Learning COVID-19 Pneumonia Lesion Segmentation From Imperfect Annotations via Divergence-Aware Selective Training.
IEEE J. Biomed. Health Informatics, 2022
HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy.
IEEE J. Biomed. Health Informatics, 2022
Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN).
IEEE Trans. Hum. Mach. Syst., 2022
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching.
Medical Image Anal., 2022
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.
Medical Image Anal., 2022
Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning.
Medical Image Anal., 2022
Proceedings of the Diabetic Foot Ulcers Grand Challenge - Third Challenge, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning.
Medical Image Anal., 2021
2020
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images.
IEEE Trans. Medical Imaging, 2020
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.
IEEE Trans. Medical Imaging, 2020
Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
2019
IEEE Trans. Hum. Mach. Syst., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Effective 3D humerus and scapula extraction using low-contrast and high-shape-variability MR data.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
2018
Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality.
Neuroinformatics, 2018
IEEE Access, 2018
Skeleton model based behavior recognition for pedestrians and cyclists from vehicle sce ne camera.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018
2017
Towards large-scale MR thigh image analysis via an integrated quantification framework.
Neurocomputing, 2017
A computationally efficient 3D/2D registration method based on image gradient direction probability density function.
Neurocomputing, 2017
3D/2D image registration method for joint motion analysis using low-quality images from mini C-arm machines.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
Proceedings of the Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety, 2017
2016
A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification.
Comput. Vis. Image Underst., 2016
Fast generation of digitally reconstructed radiograph through an efficient preprocessing of ray attenuation values.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
2015
A novel probabilistic formulation for locating and sizing emergency medical service stations.
Ann. Oper. Res., 2015
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015
Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Automated anatomical landmark detection ondistal femur surface using convolutional neural network.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Accurate thigh inter-muscular adipose quantification using a data-driven and sparsity-constrained deformable model.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the Digital Human Modeling - Applications in Health, Safety, Ergonomics and Risk Management: Ergonomics and Health, 2015
2014
User Classification and Authentication for Mobile Device Based on Gesture Recognition.
Proceedings of the Network Science and Cybersecurity, 2014
Medical Image Anal., 2014
Robust shape prior modeling based on Gaussian-Bernoulli restricted Boltzmann Machine.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management, 2014
2013
Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the 18th Asia and South Pacific Design Automation Conference, 2013
2011
Proceedings of the Digital Human Modeling, 2011
2009
A Novel Two-Stage Framework for Musculoskeletal Dynamic Modeling: An Application to Multifingered Hand Movement.
IEEE Trans. Biomed. Eng., 2009
Hum. Factors, 2009
2007
A Relation Between Dynamic Strength and Manual Materials-Handling Strategy Affected by Knowledge of Strength.
Hum. Factors, 2007
The Strength Factor in Digital Human Modeling and Simulation: A Case for a New Framework.
Proceedings of the Digital Human Modeling, 2007
A Robust Algorithm for a System Identification Approach to Digital Human Modeling: An Application to Multi-fingered Hand Movement.
Proceedings of the Digital Human Modeling, 2007