Minjeong Kim
Orcid: 0009-0004-7712-1684Affiliations:
- University of North Carolina at Greensboro, Department of Computer Science, Greensboro, NC, USA
- University of North Carolina at Chapel Hill, Department of Radiology, Chapel Hill, NC, USA (former)
- Ewha Womans University, Department of Computer Science and Engineering, Seoul, South Korea (PhD)
According to our database1,
Minjeong Kim
authored at least 79 papers
between 2009 and 2025.
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Bibliography
2025
Medical Image Anal., 2025
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Functional-Positional Context Embedding in Graph Neural Networks for Improved Parkinson's Disease Diagnosis.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
2024
Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics.
IEEE Trans. Medical Imaging, January, 2024
Disentangling sex-dependent effects of APOE on diverse trajectories of cognitive decline in Alzheimer's disease.
NeuroImage, 2024
TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations.
Medical Image Anal., 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
Group-Wise Hub Identification by Learning Common Graph Embeddings on Grassmannian Manifold.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
2021
Learning dynamic graph embeddings for accurate detection of cognitive state changes in functional brain networks.
NeuroImage, 2021
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data.
Medical Image Anal., 2021
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge.
Medical Image Anal., 2021
BMC Bioinform., 2021
Disentangling The Spatio-Temporal Heterogeneity of Alzheimer's Disease Using A Deep Predictive Stratification Network.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Discovering Unprecedented Heuristics For Hub Identification By Joint Graph Embedding And Reinforcement Learning.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Constructing Reliable Network Of Biomarker Covariance By Joint Data Harmonization And Graph Learning.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
2020
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.
Neuroinformatics, 2020
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases.
IEEE Trans. Medical Imaging, 2019
Toward an interpretable Alzheimer's disease diagnostic model with regional abnormality representation via deep learning.
NeuroImage, 2019
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification.
Medical Image Anal., 2019
Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2017
Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning".
IEEE Trans. Biomed. Eng., 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases.
Proceedings of the Information Processing in Medical Imaging, 2017
Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.
IEEE Trans. Biomed. Eng., 2016
NeuroImage, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
2015
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.
NeuroImage, 2015
NeuroImage, 2015
Predict brain MR image registration via sparse learning of appearance and transformation.
Medical Image Anal., 2015
Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Joint labeling of multiple regions of interest (ROIS) by enhanced auto context models.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015
2013
Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context models.
NeuroImage, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2013
2012
A General Fast Registration Framework by Learning Deformation-Appearance Correlation.
IEEE Trans. Image Process., 2012
Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
2011
Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
iTree: Fast and accurate image registration based on the combinative and incremental tree.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation.
NeuroImage, 2010
Spectral-based automatic labeling and refining of human cortical sulcal curves using expert-provided examples.
NeuroImage, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
NeuroImage, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009