Minjeong Kim

发表

Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition

Dinggang Shen, Qian Wang, Guorong Wu, 2015, NeuroImage.

Revealing Functional Connectivity by Learning Graph Laplacian

Guorong Wu, Paul J. Laurienti, Minjeong Kim, 2019, MICCAI.

Topographical Information-Based High-Order Functional Connectivity and Its Application in Abnormality Detection for Mild Cognitive Impairment.

Gang Li, D. Shen, F. Shi, 2016, Journal of Alzheimer's disease : JAD.

Diffusion tensor imaging based network analysis detects alterations of neuroconnectivity in patients with clinically early relapsing‐remitting multiple sclerosis

Yasheng Chen, Weili Lin, D. Shen, 2013, Human brain mapping.

Multi‐task diagnosis for autism spectrum disorders using multi‐modality features: A multi‐center study

Dinggang Shen, Qian Wang, Feng Zhao, 2017, Human brain mapping.

3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images

Guorong Wu, David Borland, Minjeong Kim, 2021, IPMI.

Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning"

Dinggang Shen, Qian Wang, Guorong Wu, 2017, IEEE Trans. Biomed. Eng..

Group-Wise Hub Identification by Learning Common Graph Embeddings on Grassmannian Manifold

M. Styner, Guorong Wu, Minjeong Kim, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automatic hippocampus segmentation of 7.0Tesla MR images by combining multiple atlases and auto-context models

Wei Li, Dinggang Shen, Guorong Wu, 2013, NeuroImage.

MCI Identification by Joint Learning on Multiple MRI Data

Dinggang Shen, Yue Gao, Sven Haller, 2015, MICCAI.

Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning

Dinggang Shen, Guorong Wu, Minjeong Kim, 2017, Deep Learning for Medical Image Analysis.

Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning

Dinggang Shen, Qian Wang, Guorong Wu, 2016, IEEE Transactions on Biomedical Engineering.

Directed Graph Based Image Registration

Dinggang Shen, Yaping Wang, Qian Wang, 2011, MLMI.

Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge pdf

Andrew Melbourne, Neil Marlow, Juntang Zhuang, 2020, Medical Image Anal..

Constructing Connectome Atlas by Graph Laplacian Learning

Chenggang Yan, Guorong Wu, Peipeng Liang, 2020, Neuroinformatics.

Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network

Xiaofeng Zhu, Guorong Wu, Paul J. Laurienti, 2019, MICCAI.

Multimodal Image Analysis for Assessing Multiple Sclerosis and Future Prospects Powered by Artificial Intelligence.

Minjeong Kim, V. Jewells, Minjeong Kim, 2020, Seminars in ultrasound, CT, and MR.

Improved image registration by sparse patch-based deformation estimation

Dinggang Shen, Qian Wang, Guorong Wu, 2015, NeuroImage.

Learning dynamic graph embeddings for accurate detection of cognitive state changes in functional brain networks

Guorong Wu, Minjeong Kim, P. Laurienti, 2021, NeuroImage.

Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning

Daoqiang Zhang, Chen Zu, Guorong Wu, 2018, Brain Imaging and Behavior.

Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data

Guorong Wu, Minjeong Kim, Xiaofeng Zhu, 2020, Medical Image Anal..

RABBIT: Rapid alignment of brains by building intermediate templates

Dinggang Shen, Guorong Wu, Yong Fan, 2009, NeuroImage.

Toward an interpretable Alzheimer’s disease diagnostic model with regional abnormality representation via deep learning

Heung-Il Suk, Minjeong Kim, Alzheimer's Disease Neuroimaging Initiative, 2019, NeuroImage.

Constructing Reliable Network Of Biomarker Covariance By Joint Data Harmonization And Graph Learning

Guorong Wu, Minjeong Kim, Guorong Wu, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Deformable Image Registration Based on Similarity-Steered CNN Regression

Qian Wang, Xiaohuan Cao, Dong Nie, 2017, MICCAI.

A General Fast Registration Framework by Learning Deformation–Appearance Correlation

Dinggang Shen, Guorong Wu, Pew-Thian Yap, 2012, IEEE Transactions on Image Processing.

TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation

Dinggang Shen, Guorong Wu, Pew-Thian Yap, 2010, NeuroImage.

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images

Shu Liao, Yaozong Gao, Dinggang Shen, 2013, MICCAI.

Characterizing dynamic functional connectivity using data-driven approaches and its application in the diagnosis of alzheimer’s disease

Xiaofeng Zhu, Guorong Wu, Paul J. Laurienti, 2019, Connectomics.

S‐HAMMER: Hierarchical attribute‐guided, symmetric diffeomorphic registration for MR brain images

Dinggang Shen, Qian Wang, Guorong Wu, 2014, Human brain mapping.

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification

Dinggang Shen, Yang Li, Jingyu Liu, 2019, Neuroinformatics.

Novel Effective Connectivity Network Inference for MCI Identification

Dinggang Shen, Ke Li, Hao Yang, 2017, MLMI@MICCAI.

Multimodal Hyper-connectivity Networks for MCI Classification

Dinggang Shen, Yang Li, Pew-Thian Yap, 2017, MICCAI.

Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification

Dinggang Shen, Ke Li, Yang Li, 2017, MLMI@MICCAI.

Deep-Learning-Based Scalp Image Analysis Using Limited Data

Minjeong Kim, Yuyeon Kim, Jihie Kim, 2023, Electronics.

Discovering Unprecedented Heuristics For Hub Identification By Joint Graph Embedding And Reinforcement Learning

Guorong Wu, Minjeong Kim, Defu Yang, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold

Guoqiang Han, Guorong Wu, Hongmin Cai, 2020, MICCAI.

Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification

Dinggang Shen, Ke Li, Yang Li, 2017, MLMI@MICCAI.

Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance

Sven Haller, Dinggang Shen, Minjeong Kim, 2015, MICCAI.

Multimodal hyper‐connectivity of functional networks using functionally‐weighted LASSO for MCI classification

Dinggang Shen, Yang Li, Pew-Thian Yap, 2019, Medical Image Anal..

Estimating functional brain networks by incorporating a modularity prior

Dinggang Shen, Han Zhang, Limei Zhang, 2016, NeuroImage.

Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images

Dinggang Shen, Qian Wang, Guorong Wu, 2012, MICCAI.

Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images

Minjeong Kim, Thijs Kooi, Eunkyung Park, 2023, ArXiv.

Connectomics in NeuroImaging: Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Islem Rekik, A. W. Chung, Minjeong Kim, 2019, CNI@MICCAI.

Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves

Dinggang Shen, Ilwoo Lyu, Gang Li, 2012, MCV.

A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity

Xiaofeng Zhu, Guorong Wu, Minjeong Kim, 2017, IPMI.

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph

Daoqiang Zhang, Dinggang Shen, Yue Gao, 2016, MLMI@MICCAI.

Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals

Won Hwa Kim, Guorong Wu, Minjeong Kim, 2023, ArXiv.

Sparse Patch-Guided Deformation Estimation for Improved Image Registration

Dinggang Shen, Guorong Wu, Minjeong Kim, 2012, MLMI.

Joint labeling of multiple regions of interest (ROIS) by enhanced auto context models

Dinggang Shen, Yanrong Guo, Guorong Wu, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Segmentor: a tool for manual refinement of 3D microscopy annotations

Carolyn M. McCormick, Jessica T. Mory, Alvaro A. Beltran, 2021, BMC Bioinformatics.

Deep learning in biomedical image analysis

Chenggang Yan, Guorong Wu, Qian Wang, 2020 .

Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases

Xiaofeng Zhu, Guorong Wu, Minjeong Kim, 2019, IEEE Transactions on Medical Imaging.

Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine

Dinggang Shen, Xiaofeng Zhu, Guorong Wu, 2016, MICCAI.

Uncovering Diverse Mechanistic Spreading Pathways in Disease Progression of Alzheimer’s Disease

Guorong Wu, Minjeong Kim, Tingting Dan, 2023, Journal of Alzheimer's disease reports.

Personalized Diagnosis for Alzheimer's Disease

Xiaofeng Zhu, Guorong Wu, Minjeong Kim, 2017, MICCAI.

A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases

Xiaofeng Zhu, Guorong Wu, Minjeong Kim, 2017, IPMI.

Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images

Minjeong Kim, Thijs Kooi, Eunkyung Park, 2023, arXiv.org.

Hierarchical alignment of breast DCE-MR images by groupwise registration and robust feature matching.

Dinggang Shen, Guorong Wu, Minjeong Kim, 2011, Medical physics.

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification

D. Shen, Y. Li, P. Yap, 2019, Neuroinformatics.

A Generalized Learning Based Framework for Fast Brain Image Registration

Dinggang Shen, Guorong Wu, Pew-Thian Yap, 2010, MICCAI.

Rabbit: Rapid Alignment of Brains by Building Intermediate Templates

Dinggang Shen, Guorong Wu, Yong Fan, 2022 .

Directed Graph Based Image Registration

Guorong Wu, H. Jia, Minjeong Kim, 2011, MLMI.

Learning dynamic graph embeddings for accurate detection of cognitive state changes in functional brain networks

Guorong Wu, Paul J. Laurienti, Minjeong Kim, 2021, NeuroImage.

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph

Daoqiang Zhang, D. Shen, Guorong Wu, 2016, MLMI@MICCAI.