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Kim-Han Thung

Showing results (11-20 of 50) 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|April 8, 2016
Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix CompletionKim-Han Thung, Pew-Thian Yap, Ehsan Adeli-M, et al.
IEEE Transactions on Medical Imaging|February 25, 2020
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT ImagesShujun Liang, Kim-Han Thung, Dong Nie, et al.
Neuroimage|February 1, 2014
Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completionKim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, et al.
Brain Structure & Function|November 26, 2015
Identification of progressive mild cognitive impairment patients using incomplete longitudinal MRI scansKim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, et al.
Neurobiology of Aging|August 9, 2016
Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forestLei Huang, Yan Jin, Yaozong Gao, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy AnnotationsSiyuan Liu, Kim-Han Thung, Weili Lin, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|August 27, 2021
Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual NetworksSiyuan Liu, Kim-Han Thung, Weili Lin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 13, 2020
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural NetworksSiyuan Liu, Kim-Han Thung, Weili Lin, et al.
Medical Image Analysis|January 14, 2020
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging dataTao Zhou, Kim-Han Thung, Mingxia Liu, et al.
IEEE Journal of Biomedical and Health Informatics|May 9, 2015
A Robust Deep Model for Improved Classification of AD/MCI PatientsFeng Li, Loc Tran, Kim-Han Thung, et al.
Pageof 5

Showing results (11-20 of 50) with videos related to

Sort By:
Pageof 5
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 8, 2016
Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix CompletionKim-Han Thung, Pew-Thian Yap, Ehsan Adeli-M, et al.
IEEE Transactions on Medical Imaging|February 25, 2020
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT ImagesShujun Liang, Kim-Han Thung, Dong Nie, et al.
Neuroimage|February 1, 2014
Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completionKim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, et al.
Brain Structure & Function|November 26, 2015
Identification of progressive mild cognitive impairment patients using incomplete longitudinal MRI scansKim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, et al.
Neurobiology of Aging|August 9, 2016
Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forestLei Huang, Yan Jin, Yaozong Gao, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy AnnotationsSiyuan Liu, Kim-Han Thung, Weili Lin, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|August 27, 2021
Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual NetworksSiyuan Liu, Kim-Han Thung, Weili Lin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 13, 2020
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural NetworksSiyuan Liu, Kim-Han Thung, Weili Lin, et al.
Medical Image Analysis|January 14, 2020
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging dataTao Zhou, Kim-Han Thung, Mingxia Liu, et al.
IEEE Journal of Biomedical and Health Informatics|May 9, 2015
A Robust Deep Model for Improved Classification of AD/MCI PatientsFeng Li, Loc Tran, Kim-Han Thung, et al.
Pageof 5