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Kim-Han Thung

Showing results (21-30 of 50) with videos related to

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Predictive Intelligence in Medicine. PRIME (Workshop)|February 22, 2019
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease DiagnosisTao Zhou, Kim-Han Thung, Mingxia Liu, et al.
Medical Image Analysis|July 11, 2015
A transversal approach for patch-based label fusion via matrix completionGerard Sanroma, Guorong Wu, Yaozong Gao, et al.
Medical Image Analysis|February 8, 2018
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completionKim-Han Thung, Pew-Thian Yap, Ehsan Adeli, et al.
IEEE Transactions on Bio-Medical Engineering|October 27, 2021
Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum DisorderFeng Zhao, Xiangfei Zhang, Kim-Han Thung, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|February 23, 2016
Multi-view Classification for Identification of Alzheimer's DiseaseXiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, et al.
Nature Machine Intelligence|February 2, 2026
Learning MRI artefact removal with unpaired dataSiyuan Liu, Kim-Han Thung, Liangqiong Qu, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|September 29, 2017
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease DiagnosisXiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-NoisesEhsan Adeli, Kim-Han Thung, Le An, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|February 23, 2016
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter ConnectomesYan Jin, Chong-Yaw Wee, Feng Shi, et al.
Human Brain Mapping|September 15, 2015
Identification of infants at high-risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networksYan Jin, Chong-Yaw Wee, Feng Shi, et al.
Pageof 5

Showing results (21-30 of 50) with videos related to

Sort By:
Pageof 5
Predictive Intelligence in Medicine. PRIME (Workshop)|February 22, 2019
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease DiagnosisTao Zhou, Kim-Han Thung, Mingxia Liu, et al.
Medical Image Analysis|July 11, 2015
A transversal approach for patch-based label fusion via matrix completionGerard Sanroma, Guorong Wu, Yaozong Gao, et al.
Medical Image Analysis|February 8, 2018
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completionKim-Han Thung, Pew-Thian Yap, Ehsan Adeli, et al.
IEEE Transactions on Bio-Medical Engineering|October 27, 2021
Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum DisorderFeng Zhao, Xiangfei Zhang, Kim-Han Thung, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|February 23, 2016
Multi-view Classification for Identification of Alzheimer's DiseaseXiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, et al.
Nature Machine Intelligence|February 2, 2026
Learning MRI artefact removal with unpaired dataSiyuan Liu, Kim-Han Thung, Liangqiong Qu, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|September 29, 2017
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease DiagnosisXiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-NoisesEhsan Adeli, Kim-Han Thung, Le An, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|February 23, 2016
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter ConnectomesYan Jin, Chong-Yaw Wee, Feng Shi, et al.
Human Brain Mapping|September 15, 2015
Identification of infants at high-risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networksYan Jin, Chong-Yaw Wee, Feng Shi, et al.
Pageof 5