Kim-Han Thung
Orcid: 0000-0003-1379-2185Affiliations:
- University of North Carolina, Chapel Hill, Department of Radiology
According to our database1,
Kim-Han Thung
authored at least 60 papers
between 2007 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
On csauthors.net:
Bibliography
2023
Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning.
CoRR, 2023
2022
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning.
IEEE Trans. Medical Imaging, 2022
Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder.
IEEE Trans. Biomed. Eng., 2022
2021
Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective.
IEEE J. Biomed. Health Informatics, 2021
Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects.
IEEE Trans. Biomed. Eng., 2021
Nat. Mach. Intell., 2021
Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Dataset, April, 2020
Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations.
IEEE Trans. Medical Imaging, 2020
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images.
IEEE Trans. Medical Imaging, 2020
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging.
IEEE Trans. Medical Imaging, 2020
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures.
IEEE Trans. Medical Imaging, 2020
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks.
IEEE Trans. Image Process., 2020
Pattern Recognit. Lett., 2020
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data.
Medical Image Anal., 2020
Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
World Wide Web, 2019
Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data.
IEEE Trans. Medical Imaging, 2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019
Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model.
IEEE Trans. Biomed. Eng., 2019
Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises.
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas.
IEEE Trans. Medical Imaging, 2018
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion.
Medical Image Anal., 2018
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
2017
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
IEEE J. Biomed. Health Informatics, 2015
Medical Image Anal., 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
2014
Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion.
NeuroImage, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
2013
Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2013
2012
Pattern Recognit., 2012
2011
Inf. Sci., 2011
2007
Proceedings of the First Asia International Conference on Modelling and Simulation, 2007