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2020 – today
- 2024
[j28]Ping Xuan
, Xiuqiang Chu, Hui Cui, Toshiya Nakaguchi, Linlin Wang, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Tiangang Zhang:
Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images. Comput. Biol. Medicine 177: 108640 (2024)- [j27]Zao Zhang, Yuning Zhang, Wei Bao, Changyang Li, Dong Yuan:
Coarse-to-Fine: A hierarchical DNN inference framework for edge computing. Future Gener. Comput. Syst. 157: 180-192 (2024) - [j26]Xiaoyu Bai, Geng Chen, Benteng Ma, Changyang Li, Jingfeng Zhang, Yong Xia:
Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification. IEEE J. Biomed. Health Informatics 28(10): 6117-6129 (2024) - [c28]Wenhua Wu, Kun Hu, Wenxi Yue, Wei Li, Milena Simic, Changyang Li, Wei Xiang, Zhiyong Wang:
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging. ECCV (84) 2024: 303-319 - [c27]Zhiyu Ning, Yupeng Xu, Changyang Li, Yichao Hao, Zhiyuan Ning, Cong Liu, Ke Yan:
Channel Fitting Network for Retinal Lesion Segmentation from OCT Images. EMBC 2024: 1-6 - [c26]Penghui Wen, Kun Hu, Dong Yuan, Zhiyuan Ning, Changyang Li, Zhiyong Wang:
Radio Frequency Signal based Human Silhouette Segmentation: A Sequential Diffusion Approach. ICME 2024: 1-6 - [c25]Jianqiao Zhang, Hao Xiong, Qiangguo Jin, Tian Feng, Jiquan Ma, Ping Xuan, Peng Cheng, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Linlin Wang, Hui Cui:
A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis. MICCAI (5) 2024: 25-35 - [c24]Minyoung Kim, Rawan Alghofaili, Changyang Li, Lap-Fai Yu:
Dragon's Path: Synthesizing User-Centered Flying Creature Animation Paths for Outdoor Augmented Reality Experiences. SIGGRAPH (Conference Paper Track) 2024: 77 - [i4]Changyang Li, Lap-Fai Yu:
Crafting Dynamic Virtual Activities with Advanced Multimodal Models. CoRR abs/2406.17582 (2024) - [i3]Penghui Wen, Kun Hu, Dong Yuan, Zhiyuan Ning, Changyang Li, Zhiyong Wang:
Radio Frequency Signal based Human Silhouette Segmentation: A Sequential Diffusion Approach. CoRR abs/2407.19244 (2024) - [i2]Wenhua Wu, Kun Hu, Wenxi Yue, Wei Li, Milena Simic, Changyang Li, Wei Xiang, Zhiyong Wang:
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging. CoRR abs/2407.21381 (2024) - 2023
- [j25]Xinke Ma, Jiang He, Xing Liu, Qin Liu, Geng Chen, Bo Yuan, Changyang Li, Yong Xia:
Hierarchical cumulative network for unsupervised medical image registration. Comput. Biol. Medicine 167: 107598 (2023) - [j24]Guodong Qin, Qi Wang, Changyang Li, Aihong Ji, Huapeng Wu, Zhikang Yang, Shikun Wen:
Design and development of a cable-driven elephant trunk robot with variable cross-sections. Ind. Robot 50(3): 520-529 (2023) - [j23]Benteng Ma, Yu Feng, Geng Chen, Changyang Li, Yong Xia:
Federated adaptive reweighting for medical image classification. Pattern Recognit. 144: 109880 (2023) - [j22]Changyang Li, Lap-Fai Yu:
Generating Activity Snippets by Learning Human-Scene Interactions. ACM Trans. Graph. 42(4): 136:1-136:15 (2023) - [c23]Wanwan Li, Changyang Li, MinYoung Kim, Haikun Huang, Lap-Fai Yu:
Location-Aware Adaptation of Augmented Reality Narratives. CHI 2023: 33:1-33:15 - [c22]Wenhua Wu, Kun Hu, Wenxi Yue, Wei Li, Milena Simic, Changyang Li, Wei Xiang, Zhiyong Wang:
Self-Supervised Multimodal Fusion Network for Knee Osteoarthritis Severity Grading. DICTA 2023: 57-64 - [c21]Lap-Fai Yu, Changyang Li, Yongqi Zhang, Rawan Alghofaili, Haikun Huang, Liuchuan Yu, Huimin Liu, Minsoo Choi, Brenda Bannan, Christos Mousas:
Establishing Design Computing and Extended Reality Facilities for Remote Virtual Reality Training. VR Workshops 2023: 216-220 - [c20]Wei Liang, Luhui Wang, Xinzhe Yu, Changyang Li, Rawan Alghofaili, Yining Lang, Lap-Fai Yu:
Optimizing Product Placement for Virtual Stores. VR 2023: 336-346 - [i1]Xiaoyu Bai, Benteng Ma, Changyang Li, Yong Xia:
Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training. CoRR abs/2309.13306 (2023) - 2022
- [j21]Ping Xuan, Bin Jiang, Hui Cui, Qiangguo Jin, Peng Cheng, Toshiya Nakaguchi, Tiangang Zhang, Changyang Li, Zhiyu Ning, Menghan Guo, Linlin Wang:
Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation. Comput. Methods Programs Biomed. 226: 107147 (2022) - [j20]Changyang Li, Wanwan Li, Haikun Huang, Lap-Fai Yu:
Interactive augmented reality storytelling guided by scene semantics. ACM Trans. Graph. 41(4): 91:1-91:15 (2022) - 2021
- [j19]Changyang Li, Huapeng Wu, Harri Eskelinen:
Design and Multi-Objective Optimization of a Dexterous Mobile Parallel Mechanism for Fusion Reactor Vacuum Vessel Assembly. IEEE Access 9: 153796-153810 (2021) - [j18]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:
A Review on Virtual Reality Skill Training Applications. Frontiers Virtual Real. 2: 645153 (2021) - [j17]Changyang Li, Huapeng Wu, Harri Eskelinen, Haibiao Ji:
Mobile parallel robot machine for heavy-duty double-walled vacuum vessel assembly. Ind. Robot 48(4): 523-531 (2021) - [j16]Changyang Li, Haikun Huang, Jyh-Ming Lien, Lap-Fai Yu:
Synthesizing scene-aware virtual reality teleport graphs. ACM Trans. Graph. 40(6): 229:1-229:15 (2021)
2010 – 2019
- 2019
- [c19]Xu Xie, Changyang Li, Chi Zhang, Yixin Zhu, Song-Chun Zhu:
Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning. IROS 2019: 1812-1817 - [c18]Yonghua Yu, Changyang Li, Mainuddin Ahmad Jonas, Chuanhao Ma, Faysal Hossain Shezan, Siyuan Shen, Peng Gao, Yuan Tian:
Detecting Abnormal Behaviors in Smart Home. MASS Workshops 2019: 37-42 - 2018
- [j15]Yuchen Yuan, Changyang Li, Jinman Kim, Weidong Cai, David Dagan Feng:
Dense and Sparse Labeling With Multidimensional Features for Saliency Detection. IEEE Trans. Circuits Syst. Video Technol. 28(5): 1130-1143 (2018) - [j14]Yuchen Yuan, Changyang Li, Jinman Kim, Weidong Cai, David Dagan Feng:
Reversion Correction and Regularized Random Walk Ranking for Saliency Detection. IEEE Trans. Image Process. 27(3): 1311-1322 (2018) - 2017
- [j13]Peng Fu, Changyang Li, Weidong Cai, Quan-Sen Sun:
A spatially cohesive superpixel model for image noise level estimation. Neurocomputing 266: 420-432 (2017) - [j12]Pradeeba Sridar, Ashnil Kumar, Changyang Li, Joyce Woo, Ann Quinton, Ron Benzie, Michael J. Peek, Dagan Feng, R. Krishna Kumar, Ralph Nanan, Jinman Kim:
Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets. IEEE J. Biomed. Health Informatics 21(4): 1069-1078 (2017) - [j11]Euijoon Ahn, Jinman Kim, Lei Bi, Ashnil Kumar, Changyang Li, Michael J. Fulham, David Dagan Feng:
Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. IEEE J. Biomed. Health Informatics 21(6): 1685-1693 (2017) - [j10]Changyang Li, Wei Liang, Chris Quigley, Yibiao Zhao, Lap-Fai Yu:
Earthquake Safety Training through Virtual Drills. IEEE Trans. Vis. Comput. Graph. 23(4): 1275-1284 (2017) - 2016
- [j9]Yuchen Yuan, Yi Shi, Changyang Li, Jinman Kim, Weidong Cai, Zeguang Han, David Dagan Feng:
DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations. BMC Bioinform. 17(S-17): 243-256 (2016) - [j8]Ashnil Kumar, Shane Dyer, Jinman Kim, Changyang Li, Philip Heng Wai Leong, Michael J. Fulham, Dagan Feng:
Adapting content-based image retrieval techniques for the semantic annotation of medical images. Comput. Medical Imaging Graph. 49: 37-45 (2016) - [c17]Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Dagan Feng, Mohamed Khadra, Jinman Kim:
Automatic prostate segmentation on MR images with deep network and graph model. EMBC 2016: 635-638 - [c16]Ang Li, Xiuying Wang, Ke Yan, Changyang Li, Dagan Feng:
Multilevel affinity graph for unsupervised image segmentation. ICIP 2016: 1264-1268 - [c15]Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Jinman Kim, Dagan Feng:
Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoder. ICIP 2016: 2767-2771 - [c14]Euijoon Ahn, Ashnil Kumar, Jinman Kim, ChangYang Li, Dagan Feng, Michael J. Fulham:
X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. ISBI 2016: 855-858 - [c13]Ke Yan, ChangYang Li, Xiuying Wang, Yuchen Yuan, Ang Li, Jinman Kim, Biao Li, Dagan Feng:
Comprehensive autoencoder for prostate recognition on MR images. ISBI 2016: 1190-1194 - [c12]Robin Huang, Ang Li, Lei Bi, Changyang Li, Paul M. Young, Gregory King, David Dagan Feng, Jinman Kim:
A locally constrained statistical shape model for robust nasal cavity segmentation in computed tomography. ISBI 2016: 1334-1337 - [c11]Hanqing Wang, Changyang Li, Zikai Gao, Wei Liang:
Joint labelling and segmentation for 3D scanned human body. SIGGRAPH ASIA Virtual Reality meets Physical Reality 2016: 13:1-13:5 - 2015
- [j7]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Yong Yin, David Dagan Feng:
Supervised Variational Model With Statistical Inference and Its Application in Medical Image Segmentation. IEEE Trans. Biomed. Eng. 62(1): 196-207 (2015) - [c10]ChangYang Li, Yuchen Yuan, Weidong Cai, Yong Xia, David Dagan Feng:
Robust saliency detection via regularized random walks ranking. CVPR 2015: 2710-2717 - [c9]Robin Huang, Lei Bi, ChangYang Li, Younhyun Jung, Jinman Kim, Michael J. Fulham, David Dagan Feng:
A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image. DICTA 2015: 1-7 - [c8]Euijoon Ahn, Lei Bi, Younhyun Jung, Jinman Kim, Changyang Li, Michael J. Fulham, David Dagan Feng:
Automated saliency-based lesion segmentation in dermoscopic images. EMBC 2015: 3009-3012 - 2014
- [c7]Ashnil Kumar, Shane Dyer, Changyang Li, Philip Heng Wai Leong, Jinman Kim:
Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014. CLEF (Working Notes) 2014: 428-437 - [c6]ChangYang Li, Ang Li, Xiuying Wang, Dagan Feng, Stefan Eberl, Michael J. Fulham:
A new statistical and Dirichlet integral framework applied to liver segmentation from volumetric CT images. ICARCV 2014: 642-647 - [c5]Peng Fu, ChangYang Li, Quan-Sen Sun, Tom Weidong Cai, David Dagan Feng:
Image noise level estimation based on a new adaptive superpixel classification. ICIP 2014: 2649-2653 - 2013
- [j6]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Yong Yin, Jinhu Chen, David Dagan Feng:
A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes. IEEE Trans. Biomed. Eng. 60(10): 2967-2977 (2013) - [j5]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Robust Model for Segmenting Images With/Without Intensity Inhomogeneities. IEEE Trans. Image Process. 22(8): 3296-3309 (2013) - [j4]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Dagan Feng:
A New Energy Framework With Distribution Descriptors for Image Segmentation. IEEE Trans. Image Process. 22(9): 3578-3590 (2013) - [j3]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Corrections to "Robust Model for Segmenting Images With/Without Intensity Inhomogeneities" [August 13 3296-3309]. IEEE Trans. Image Process. 22(9): 3729 (2013) - [j2]ChangYang Li, Xiuying Wang, Junli Li, Stefan Eberl, Michael J. Fulham, Yong Yin, David Dagan Feng:
Joint Probabilistic Model of Shape and Intensity for Multiple Abdominal Organ Segmentation From Volumetric CT Images. IEEE J. Biomed. Health Informatics 17(1): 92-102 (2013) - [c4]Ang Li, ChangYang Li, Xiuying Wang, Stefan Eberl, David Dagan Feng, Michael J. Fulham:
Automated Segmentation of Prostate MR Images Using Prior Knowledge Enhanced Random Walker. DICTA 2013: 1-7 - 2012
- [j1]ChangYang Li, Xiuying Wang, Yong Xia, Stefan Eberl, Yong Yin, David Dagan Feng:
Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas. Comput. Methods Programs Biomed. 107(2): 164-174 (2012) - [c3]ChangYang Li, Xiuying Wang, Jinhu Chen, Yong Yin, David Dagan Feng:
PET-guided liver segmentation for low-contrast CT via regularized Chan-Vese model. BHI 2012: 816-819 - 2011
- [c2]Xiuying Wang, Chaojie Zheng, Changyang Li, Yong Yin, David Dagan Feng:
Automated CT liver segmentation using improved Chan-Vese model with global shape constrained energy. EMBC 2011: 3415-3418 - 2010
- [c1]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Yong Yin, David Dagan Feng:
Fully automated liver segmentation for low- and high- contrast CT volumes based on probabilistic atlases. ICIP 2010: 1733-1736
Coauthor Index
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