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Kim-Han Thung

Showing results (1-10 of 50) with videos related to

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Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : Third International Workshop, DLMIA 2017, and 7Th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017 Quebec City, QC|November 7, 2017
Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep LearningKim-Han Thung, Pew-Thian Yap, Dinggang Shen
Predictive Intelligence in Medicine. PRIME (Workshop)|August 27, 2021
Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality DataKim-Han Thung, Pew-Thian Yap, Dinggang Shen
IEEE Transactions on Medical Imaging|April 26, 2019
Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic DataTao Zhou, Mingxia Liu, Kim-Han Thung, et al.
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression ModelTao Zhou, Kim-Han Thung, Mingxia Liu, et al.
Human Brain Mapping|November 2, 2018
Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosisTao Zhou, Kim-Han Thung, Xiaofeng Zhu, et al.
Plos One|May 14, 2014
Multi-task linear programming discriminant analysis for the identification of progressive MCI individualsGuan Yu, Yufeng Liu, Kim-Han Thung, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|September 30, 2017
Fast Neuroimaging-Based Retrieval for Alzheimer's Disease AnalysisXiaofeng Zhu, Kim-Han Thung, Jun Zhang, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|January 30, 2018
Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia DiagnosisTao Zhou, Kim-Han Thung, Xiaofeng Zhu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 14, 2017
Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease DiagnosisKim-Han Thung, Ehsan Adeli, Pew-Thian Yap, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 3, 2018
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging DataXiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, et al.
Pageof 5

Showing results (1-10 of 50) with videos related to

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Pageof 5
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : Third International Workshop, DLMIA 2017, and 7Th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017 Quebec City, QC|November 7, 2017
Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep LearningKim-Han Thung, Pew-Thian Yap, Dinggang Shen
Predictive Intelligence in Medicine. PRIME (Workshop)|August 27, 2021
Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality DataKim-Han Thung, Pew-Thian Yap, Dinggang Shen
IEEE Transactions on Medical Imaging|April 26, 2019
Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic DataTao Zhou, Mingxia Liu, Kim-Han Thung, et al.
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression ModelTao Zhou, Kim-Han Thung, Mingxia Liu, et al.
Human Brain Mapping|November 2, 2018
Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosisTao Zhou, Kim-Han Thung, Xiaofeng Zhu, et al.
Plos One|May 14, 2014
Multi-task linear programming discriminant analysis for the identification of progressive MCI individualsGuan Yu, Yufeng Liu, Kim-Han Thung, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|September 30, 2017
Fast Neuroimaging-Based Retrieval for Alzheimer's Disease AnalysisXiaofeng Zhu, Kim-Han Thung, Jun Zhang, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|January 30, 2018
Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia DiagnosisTao Zhou, Kim-Han Thung, Xiaofeng Zhu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 14, 2017
Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease DiagnosisKim-Han Thung, Ehsan Adeli, Pew-Thian Yap, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 3, 2018
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging DataXiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, et al.
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