ChangYang Li
Orcid: 0000-0001-9400-3998
According to our database1,
ChangYang Li
authored at least 57 papers
between 2010 and 2024.
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Bibliography
2024
Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification.
IEEE J. Biomed. Health Informatics, October, 2024
Future Gener. Comput. Syst., 2024
Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images.
Comput. Biol. Medicine, 2024
Dragon's Path: Synthesizing User-Centered Flying Creature Animation Paths for Outdoor Augmented Reality Experiences.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024
A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Radio Frequency Signal based Human Silhouette Segmentation: A Sequential Diffusion Approach.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Pattern Recognit., December, 2023
Comput. Biol. Medicine, December, 2023
ACM Trans. Graph., August, 2023
Design and development of a cable-driven elephant trunk robot with variable cross-sections.
Ind. Robot, 2023
Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training.
CoRR, 2023
Establishing Design Computing and Extended Reality Facilities for Remote Virtual Reality Training.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023
Proceedings of the IEEE Conference Virtual Reality and 3D User Interfaces, 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
ACM Trans. Graph., 2022
Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation.
Comput. Methods Programs Biomed., 2022
2021
Ind. Robot, 2021
Frontiers Virtual Real., 2021
Design and Multi-Objective Optimization of a Dexterous Mobile Parallel Mechanism for Fusion Reactor Vacuum Vessel Assembly.
IEEE Access, 2021
2019
Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems Workshops, 2019
Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
2018
IEEE Trans. Image Process., 2018
IEEE Trans. Circuits Syst. Video Technol., 2018
2017
IEEE Trans. Vis. Comput. Graph., 2017
Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets.
IEEE J. Biomed. Health Informatics, 2017
IEEE J. Biomed. Health Informatics, 2017
Neurocomputing, 2017
2016
Adapting content-based image retrieval techniques for the semantic annotation of medical images.
Comput. Medical Imaging Graph., 2016
DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations.
BMC Bioinform., 2016
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
A locally constrained statistical shape model for robust nasal cavity segmentation in computed tomography.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoder.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Supervised Variational Model With Statistical Inference and Its Application in Medical Image Segmentation.
IEEE Trans. Biomed. Eng., 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
A new statistical and Dirichlet integral framework applied to liver segmentation from volumetric CT images.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014
2013
Joint Probabilistic Model of Shape and Intensity for Multiple Abdominal Organ Segmentation From Volumetric CT Images.
IEEE J. Biomed. Health Informatics, 2013
Corrections to "Robust Model for Segmenting Images With/Without Intensity Inhomogeneities" [August 13 3296-3309].
IEEE Trans. Image Process., 2013
IEEE Trans. Image Process., 2013
IEEE Trans. Image Process., 2013
A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes.
IEEE Trans. Biomed. Eng., 2013
Automated Segmentation of Prostate MR Images Using Prior Knowledge Enhanced Random Walker.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013
2012
Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas.
Comput. Methods Programs Biomed., 2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
2011
Automated CT liver segmentation using improved Chan-Vese model with global shape constrained energy.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Fully automated liver segmentation for low- and high- contrast CT volumes based on probabilistic atlases.
Proceedings of the International Conference on Image Processing, 2010