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Erkun Yang

Showing results (11-20 of 17) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 8, 2021
Deep Disentangled Hashing with Momentum Triplets for Neuroimage SearchErkun Yang, Dongren Yao, Bing Cao, et al.
IEEE Transactions on Medical Imaging|October 13, 2020
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage RetrievalErkun Yang, Mingxia Liu, Dongren Yao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 4, 2023
A Parametrical Model for Instance-Dependent Label NoiseShuo Yang, Songhua Wu, Erkun Yang, et al.
Frontiers in Neuroscience|August 4, 2023
Brain morphometric features predict depression symptom phenotypes in late-life depression using a deep learning modelBing Cao, Erkun Yang, Lihong Wang, et al.
IEEE Transactions on Medical Imaging|January 14, 2021
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural ConnectivityDongren Yao, Jing Sui, Mingliang Wang, et al.
IEEE Transactions on Medical Imaging|June 3, 2022
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical PlanningLei Ma, Deqiang Xiao, Daeseung Kim, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 30, 2021
Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical PlanningLei Ma, Daeseung Kim, Chunfeng Lian, et al.
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Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 8, 2021
Deep Disentangled Hashing with Momentum Triplets for Neuroimage SearchErkun Yang, Dongren Yao, Bing Cao, et al.
IEEE Transactions on Medical Imaging|October 13, 2020
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage RetrievalErkun Yang, Mingxia Liu, Dongren Yao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 4, 2023
A Parametrical Model for Instance-Dependent Label NoiseShuo Yang, Songhua Wu, Erkun Yang, et al.
Frontiers in Neuroscience|August 4, 2023
Brain morphometric features predict depression symptom phenotypes in late-life depression using a deep learning modelBing Cao, Erkun Yang, Lihong Wang, et al.
IEEE Transactions on Medical Imaging|January 14, 2021
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural ConnectivityDongren Yao, Jing Sui, Mingliang Wang, et al.
IEEE Transactions on Medical Imaging|June 3, 2022
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical PlanningLei Ma, Deqiang Xiao, Daeseung Kim, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 30, 2021
Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical PlanningLei Ma, Daeseung Kim, Chunfeng Lian, et al.
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