Fully automated liver segmentation for low- and high- contrast CT volumes based on probabilistic atlases. - ChangYang Li; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; Yong Yin; David Dagan Feng (ICIP, 2010)

Automated CT liver segmentation using improved Chan-Vese model with global shape constrained energy. - Xiuying Wang 001; Chaojie Zheng; Changyang Li; Yong Yin; David Dagan Feng (EMBC, 2011)

PET-guided liver segmentation for low-contrast CT via regularized Chan-Vese model. - ChangYang Li; Xiuying Wang 001; Jinhu Chen; Yong Yin; David Dagan Feng (BHI, 2012)

Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas. - ChangYang Li; Xiuying Wang 001; Yong Xia 001; Stefan Eberl; Yong Yin; David Dagan Feng (Comput. Methods Programs Biomed., 2012)

Automated Segmentation of Prostate MR Images Using Prior Knowledge Enhanced Random Walker. - Ang Li; ChangYang Li; Xiuying Wang 001; Stefan Eberl; David Dagan Feng; Michael J. Fulham (DICTA, 2013)

A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes. - ChangYang Li; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; Yong Yin; Jinhu Chen; David Dagan Feng (IEEE Trans. Biomed. Eng., 2013)

Robust Model for Segmenting Images With/Without Intensity Inhomogeneities. - ChangYang Li; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; David Dagan Feng (IEEE Trans. Image Process., 2013)

A New Energy Framework With Distribution Descriptors for Image Segmentation. - ChangYang Li; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; Dagan Feng 001 (IEEE Trans. Image Process., 2013)

Corrections to "Robust Model for Segmenting Images With/Without Intensity Inhomogeneities" [August 13 3296-3309]. - ChangYang Li; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; David Dagan Feng (IEEE Trans. Image Process., 2013)

Joint Probabilistic Model of Shape and Intensity for Multiple Abdominal Organ Segmentation From Volumetric CT Images. - ChangYang Li; Xiuying Wang 001; Junli Li; Stefan Eberl; Michael J. Fulham; Yong Yin; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2013)

Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014. - Ashnil Kumar; Shane Dyer; Changyang Li; Philip Heng Wai Leong; Jinman Kim (CLEF (Working Notes), 2014)

A new statistical and Dirichlet integral framework applied to liver segmentation from volumetric CT images. - ChangYang Li; Ang Li; Xiuying Wang 001; Dagan Feng 001; Stefan Eberl; Michael J. Fulham (ICARCV, 2014)

Image noise level estimation based on a new adaptive superpixel classification. - Peng Fu 003; ChangYang Li; Quan-Sen Sun; Tom Weidong Cai; David Dagan Feng (ICIP, 2014)

Robust saliency detection via regularized random walks ranking. - ChangYang Li; Yuchen Yuan; Weidong Cai 001; Yong Xia 001; David Dagan Feng (CVPR, 2015)

A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image. - Robin Huang; Lei Bi 001; ChangYang Li; Younhyun Jung; Jinman Kim; Michael J. Fulham; David Dagan Feng (DICTA, 2015)

Automated saliency-based lesion segmentation in dermoscopic images. - Euijoon Ahn; Lei Bi 001; Younhyun Jung; Jinman Kim; Changyang Li; Michael J. Fulham; David Dagan Feng (EMBC, 2015)

Supervised Variational Model With Statistical Inference and Its Application in Medical Image Segmentation. - ChangYang Li; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; Yong Yin; David Dagan Feng (IEEE Trans. Biomed. Eng., 2015)

Automatic prostate segmentation on MR images with deep network and graph model. - Ke Yan 005; Changyang Li; Xiuying Wang 001; Ang Li; Yuchen Yuan; Dagan Feng 001; Mohamed Khadra; Jinman Kim (EMBC, 2016)

Multilevel affinity graph for unsupervised image segmentation. - Ang Li; Xiuying Wang 001; Ke Yan 005; Changyang Li; Dagan Feng 001 (ICIP, 2016)

Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoder. - Ke Yan 005; Changyang Li; Xiuying Wang 001; Ang Li; Yuchen Yuan; Jinman Kim; Dagan Feng 001 (ICIP, 2016)

X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. - Euijoon Ahn; Ashnil Kumar; Jinman Kim; ChangYang Li; Dagan Feng 001; Michael J. Fulham (ISBI, 2016)

A locally constrained statistical shape model for robust nasal cavity segmentation in computed tomography. - Robin Huang; Ang Li; Lei Bi 001; Changyang Li; Paul M. Young; Gregory King; David Dagan Feng; Jinman Kim (ISBI, 2016)

Comprehensive autoencoder for prostate recognition on MR images. - Ke Yan 005; ChangYang Li; Xiuying Wang 001; Yuchen Yuan; Ang Li; Jinman Kim; Biao Li; Dagan Feng 001 (ISBI, 2016)

Joint labelling and segmentation for 3D scanned human body. - Hanqing Wang 001; Changyang Li; Zikai Gao; Wei Liang 008 (SIGGRAPH ASIA Virtual Reality meets Physical Reality, 2016)

DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations. - Yuchen Yuan; Yi Shi; Changyang Li; Jinman Kim; Weidong Cai 001; Zeguang Han; David Dagan Feng (BMC Bioinform., 2016)

Adapting content-based image retrieval techniques for the semantic annotation of medical images. - Ashnil Kumar; Shane Dyer; Jinman Kim; Changyang Li; Philip Heng Wai Leong; Michael J. Fulham; Dagan Feng 001 (Comput. Medical Imaging Graph., 2016)

A spatially cohesive superpixel model for image noise level estimation. - Peng Fu 003; Changyang Li; Weidong Cai 001; Quan-Sen Sun (Neurocomputing, 2017)

Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. - Euijoon Ahn; Jinman Kim; Lei Bi 001; Ashnil Kumar; Changyang Li; Michael J. Fulham; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2017)

Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets. - Pradeeba Sridar; Ashnil Kumar; Changyang Li; Joyce Woo; Ann Quinton; Ron Benzie; Michael J. Peek; Dagan Feng 001; R. Krishna Kumar; Ralph Nanan; Jinman Kim (IEEE J. Biomed. Health Informatics, 2017)

Earthquake Safety Training through Virtual Drills. - Changyang Li; Wei Liang 008; Chris Quigley; Yibiao Zhao; Lap-Fai Yu (IEEE Trans. Vis. Comput. Graph., 2017)

Dense and Sparse Labeling With Multidimensional Features for Saliency Detection. - Yuchen Yuan; Changyang Li; Jinman Kim; Weidong Cai 001; David Dagan Feng (IEEE Trans. Circuits Syst. Video Technol., 2018)

Reversion Correction and Regularized Random Walk Ranking for Saliency Detection. - Yuchen Yuan; Changyang Li; Jinman Kim; Weidong Cai 001; David Dagan Feng (IEEE Trans. Image Process., 2018)

Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning. - Xu Xie 001; Changyang Li; Chi Zhang 017; Yixin Zhu 001; Song-Chun Zhu (IROS, 2019)

Detecting Abnormal Behaviors in Smart Home. - Yonghua Yu; Changyang Li; Mainuddin Ahmad Jonas; Chuanhao Ma; Faysal Hossain Shezan; Siyuan Shen; Peng Gao; Yuan Tian 001 (MASS Workshops, 2019)

Design and Multi-Objective Optimization of a Dexterous Mobile Parallel Mechanism for Fusion Reactor Vacuum Vessel Assembly. - Changyang Li; Huapeng Wu; Harri Eskelinen (IEEE Access, 2021)

A Review on Virtual Reality Skill Training Applications. - Biao Xie; Huimin Liu; Rawan Alghofaili; Yongqi Zhang; Yeling Jiang; Flavio Destri Lobo; Changyang Li; Wanwan Li; Haikun Huang; Mesut Akdere; Christos Mousas; Lap-Fai Yu (Frontiers Virtual Real., 2021)

Mobile parallel robot machine for heavy-duty double-walled vacuum vessel assembly. - Changyang Li; Huapeng Wu; Harri Eskelinen; Haibiao Ji (Ind. Robot, 2021)

Synthesizing scene-aware virtual reality teleport graphs. - Changyang Li; Haikun Huang; Jyh-Ming Lien; Lap-Fai Yu (ACM Trans. Graph., 2021)

Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation. - Ping Xuan; Bin Jiang; Hui Cui 002; Qiangguo Jin; Peng Cheng; Toshiya Nakaguchi; Tiangang Zhang; Changyang Li; Zhiyu Ning; Menghan Guo; Linlin Wang (Comput. Methods Programs Biomed., 2022)

Interactive augmented reality storytelling guided by scene semantics. - Changyang Li; Wanwan Li; Haikun Huang; Lap-Fai Yu (ACM Trans. Graph., 2022)

Location-Aware Adaptation of Augmented Reality Narratives. - Wanwan Li; Changyang Li; MinYoung Kim; Haikun Huang; Lap-Fai Yu (CHI, 2023)

Self-Supervised Multimodal Fusion Network for Knee Osteoarthritis Severity Grading. - Wenhua Wu 005; Kun Hu; Wenxi Yue; Wei Li 058; Milena Simic; Changyang Li; Wei Xiang 001; Zhiyong Wang 001 (DICTA, 2023)

Optimizing Product Placement for Virtual Stores. - Wei Liang 008; Luhui Wang; Xinzhe Yu; Changyang Li; Rawan Alghofaili; Yining Lang; Lap-Fai Yu (VR, 2023)

Establishing Design Computing and Extended Reality Facilities for Remote Virtual Reality Training. - Lap-Fai Yu; Changyang Li; Yongqi Zhang; Rawan Alghofaili; Haikun Huang; Liuchuan Yu; Huimin Liu; Minsoo Choi 001; Brenda Bannan; Christos Mousas (VR Workshops, 2023)

Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training. - Xiaoyu Bai; Benteng Ma; Changyang Li; Yong Xia 001 (CoRR, 2023)

Design and development of a cable-driven elephant trunk robot with variable cross-sections. - Guodong Qin; Qi Wang; Changyang Li; Aihong Ji; Huapeng Wu; Zhikang Yang; Shikun Wen (Ind. Robot, 2023)

Generating Activity Snippets by Learning Human-Scene Interactions. - Changyang Li; Lap-Fai Yu (ACM Trans. Graph., 2023)

Hierarchical cumulative network for unsupervised medical image registration. - Xinke Ma; Jiang He; Xing Liu; Qin Liu; Geng Chen 001; Bo Yuan; Changyang Li; Yong Xia 001 (Comput. Biol. Medicine, 2023)

Federated adaptive reweighting for medical image classification. - Benteng Ma; Yu Feng; Geng Chen 001; Changyang Li; Yong Xia 001 (Pattern Recognit., 2023)

Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging. - Wenhua Wu 005; Kun Hu; Wenxi Yue; Wei Li 058; Milena Simic; Changyang Li; Wei Xiang 001; Zhiyong Wang 001 (ECCV (84), 2024)

Channel Fitting Network for Retinal Lesion Segmentation from OCT Images. - Zhiyu Ning; Yupeng Xu; Changyang Li; Yichao Hao; Zhiyuan Ning; Cong Liu; Ke Yan 005 (EMBC, 2024)

Radio Frequency Signal based Human Silhouette Segmentation: A Sequential Diffusion Approach. - Penghui Wen; Kun Hu; Dong Yuan 001; Zhiyuan Ning; Changyang Li; Zhiyong Wang 001 (ICME, 2024)

A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis. - Jianqiao Zhang 003; Hao Xiong 001; Qiangguo Jin; Tian Feng 001; Jiquan Ma; Ping Xuan; Peng Cheng; Zhiyuan Ning; Zhiyu Ning; Changyang Li; Linlin Wang; Hui Cui 002 (MICCAI (5), 2024)

Dragon's Path: Synthesizing User-Centered Flying Creature Animation Paths for Outdoor Augmented Reality Experiences. - Minyoung Kim; Rawan Alghofaili; Changyang Li; Lap-Fai Yu (SIGGRAPH (Conference Paper Track), 2024)

Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images. - Ping Xuan; Xiuqiang Chu; Hui Cui 002; Toshiya Nakaguchi; Linlin Wang; Zhiyuan Ning; Zhiyu Ning; Changyang Li; Tiangang Zhang (Comput. Biol. Medicine, 2024)

Crafting Dynamic Virtual Activities with Advanced Multimodal Models. - Changyang Li; Lap-Fai Yu (CoRR, 2024)

Coarse-to-Fine: A hierarchical DNN inference framework for edge computing. - Zao Zhang; Yuning Zhang; Wei Bao 001; Changyang Li; Dong Yuan 001 (Future Gener. Comput. Syst., 2024)

Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification. - Xiaoyu Bai; Geng Chen 001; Benteng Ma; Changyang Li; Jingfeng Zhang; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2024)

Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation. - Aoran Liu; Kun Hu; Clinton Mo; Changyang Li; Zhiyong Wang 001 (CoRR, 2025)

RLGS: Reinforcement Learning-Based Adaptive Hyperparameter Tuning for Gaussian Splatting. - Zhan Li; Huangying Zhan; Changyang Li; Qingan Yan; Yi Xu (CoRR, 2025)