Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Erkun Yang"'
Autor:
Bing Cao, Erkun Yang, Lihong Wang, Zhanhao Mo, David C. Steffens, Han Zhang, Mingxia Liu, Guy G. Potter
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
ObjectivesOur objective was to use deep learning models to identify underlying brain regions associated with depression symptom phenotypes in late-life depression (LLD).ParticipantsDiagnosed with LLD (N = 116) and enrolled in a prospective treatment
Externí odkaz:
https://doaj.org/article/1c9a494cb587478cbdbf4c6283697298
Autor:
Lei Ma, Deqiang Xiao, Daeseung Kim, Chunfeng Lian, Tianshu Kuang, Qin Liu, Hannah Deng, Erkun Yang, Michael A. K. Liebschner, Jaime Gateno, James J. Xia, Pew-Thian Yap
Publikováno v:
IEEE Transactions on Medical Imaging. 42:336-345
Orthognathic surgery corrects jaw deformities to improve aesthetics and functions. Due to the complexity of the craniomaxillofacial (CMF) anatomy, orthognathic surgery requires precise surgical planning, which involves predicting postoperative change
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Autor:
Jing Sui, Yeerfan Jiaerken, Mingxia Liu, Na Luo, Erkun Yang, Mingliang Wang, Dinggang Shen, Dongren Yao, Pew Thian Yap
Publikováno v:
IEEE Trans Med Imaging
Brain connectivity alterations associated with mental disorders have been widely reported in both functional MRI (fMRI) and diffusion MRI (dMRI). However, extracting useful information from the vast amount of information afforded by brain networks re
Publikováno v:
IEEE Trans Med Imaging
Multi-modal neuroimage retrieval has greatly facilitated the efficiency and accuracy of decision making in clinical practice by providing physicians with previous cases (with visually similar neuroimages) and corresponding treatment records. However,
Publikováno v:
IEEE Transactions on Multimedia. 23:2694-2705
Sketch-based image synthesis is a challenging problem in computer graphics and vision. Existing approaches either require exact edge maps or rely on the retrieval of existing photographs, which limits their applications in real-world scenarios. Accor
Autor:
Deqiang Xiao, Hannah H. Deng, Pew Thian Yap, Chunfeng Lian, Qin Liu, Daeseung Kim, Tianshu Kuang, Lei Ma, Jaime Gateno, James J. Xia, Ye Wu, Michael A. K. Liebschner, Yankun Lang, Erkun Yang
Publikováno v:
Med Image Comput Comput Assist Interv
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
Facial appearance changes with the movements of bony segments in orthognathic surgery of patients with craniomaxillofacial (CMF) deformities. Conventional bio-mechanical methods, such as finite element modeling (FEM), for simulating such changes, are
Autor:
Erkun, Yang, Dongren, Yao, Bing, Cao, Hao, Guan, Pew-Thian, Yap, Dinggang, Shen, Mingxia, Liu
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 12261
Neuroimaging has been widely used in computer-aided clinical diagnosis and treatment, and the rapid increase of neuroimage repositories introduces great challenges for efficient neuroimage search. Existing image search methods often use triplet loss
Autor:
Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Publikováno v:
IJCAI
By contrasting positive-negative counterparts, graph contrastive learning has become a prominent technique for unsupervised graph representation learning. However, existing methods fail to consider the class information and will introduce false-negat