Publication

Journal papers

Haixu Ma, Zhuoyu Shi, Minjeong Kim, Bin Liu, Patrick J. Smith, Yufeng Liu, and Guorong Wu, "Disentangling sex-dependent effects of APOE on diverse trajectories of cognitive decline in Alzheimer’s disease," NeuroImage, 292, 120609, 2024.
Tingting Dan, Mustafa Dere, Won Hwa Kim, Minjeong Kim, and Guorong Wu, "Tauflow-Net: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations," Medical Image Analysis, 95, 103210, 2024.
Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu, "Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics," IEEE Transactions on Medical Imaging, 2023.
Zhentao Yu, Zhuoyu Shi, Tingting Dan, Mustafa Dere, Minjeong Kim, Quefeng Li, Guorong Wu, "Uncovering Diverse Mechanistic Spreading Pathways in Disease Progression of Alzheimer’s Disease," Journal of Alzheimer’s Disease Reports, 2023.
Felix A. Kyere, Ian Curtin, Oleh Krupa, Carolyn M. McCormick, Mustafa Dere, Sarah Khan, Minjeong Kim, Tzu-Wen Winnie Wang, Qiuhong He, Guorong Wu, Yen-Yu Ian Shih, Jason L. Stein, "Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy," Journal of Visualized Experiments (JoVE), 2022.
Defu Yang, Jiazhou Chen, Chenggang Yan, Minjeong Kim, Paul J. Laurienti, Martin Styner, Guorong Wu, "Group-wise Hub Identification by Learning Common Graph Embeddings on Grass-mannian Manifold", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
David Borland, Carolyn M. McCormick, Niyanta K. Patel, Oleh Krupa, Jessica T. Mory, Alvaro A.Beltran, Tala M. Farah, Carla F. Escobar-Tomlienovich, Sydney S. Olson, Minjeong Kim, GuorongWu, Jason L. Stein, "Segmentor: A tool for manual refinement of 3D microscopy annotations," BMC Bioinformatics, 2021.
Markus D Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sebastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung, "Neuropsychiatric Disease Classification Using Functional Connectomics--Results of the Connectomics in NeuroImaging Transfer Learning Challenge," Medical Image Analysis, 2021.
Yi Lin, Jia Hou, Minjeong Kim, Paul J. Laurienti, and Guorong Wu, "Learning Dynamic Graph Embeddings for Accurate Detection of Cognitive State Changes in Functional Brain Networks," NeuroImage, 2021.
Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Daniel Kaufer, Guorong Wu, "Long Range Early Diagnosis of Alzheimer's Disease Using Longitudinal MR Imaging Data," Medical Image Analysis, 2020.
Minjeong Kim, Chenggang Yan, Defu Yang, Peipeng Liang, Daniel I Kaufer, Guorong Wu , "Constructing Connectome Atlas by Graph Laplacian Learning," Neuroinformatics, 2020.
Minjeong Kim and Valerie Jewells, "Multimodal Image Analysis for Assessing Multiple Sclerosis and Future Prospects Powered by Artificial Intelligence," Seminars in Ultrasound, CT and MRI, 2020. (invited paper)
Eunho Lee, Jun-Sik Choi, Minjeong Kim, and Heung-Il Suk, “Toward an Interpretable Alzheimer’s Disease Diagnostic Model with Regional Abnormality Representation via Deep Learning,” NeuroImage, 2019.
Yang Li, Jingyu Liu, Ziwen Peng, Can Sheng, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen, "Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification," Neuroinformatics, 2019.
Yang Li, Jingyu Liu, Xinqiang Gao, Biao Jie, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen, "Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification," Medical Image Analysis, 2019.
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Daniel I. Kaufer, Guorong Wu, "Dynamic Hyper-Graph Inference Framework for Computer Assisted Diagnosis of Neurodegenerative Diseases," IEEE Transactions on Medical Imaging, 2019.
Chen Zu, Yue Gao, Brent Munsell, Minjeong Kim, Ziwen Peng, Jessica R. Cohen, Daoqiang Zhang, Guorong Wu, "Identifying Disease-related Subnetwork Connectome Biomarkers by Sparse Hypergraph Learning," Brain Imaging and Behavior, 2018.
Jun Wang, Qian Wang, Jialin Peng, Dong Nie, Feng Zhao, Minjeong Kim, Han Zhang, Chong-Yaw Wee, Shitong Wang, Dinggang Shen, "Multi-Task Diagnosis for Autism Spectrum Disorders Using Multi-Modality Features: A Multi-Center Study,” Human Brain Mapping 38(6):3081-3097, 2017.
Lishan Qiao, Han Zhang, Minjeong Kim, Shenghua Teng, Limei Zhang, Dinggang Shen, "Estimating Functional Brain Networks by Incorporating a Modularity Prior,” Neuroimage 141:399-407, 2016.
Han Zhang, Xiaobo Chen, Feng Shi, Gang Li, Minjeong Kim, Panteleimon Giannakopoulos, Sven Haller, Dinggang Shen, "Topographic Information based High-Order Functional Connectivity and its Application in Abnormality Detection for Mild Cognitive Impairment,” Journal of Alzheimer's Disease 54(3):1095-1112, 2016.
Silva Markovic-Plese, Yazhong Tao, Xin Zhang, Minjeong Kim, Danny Bruce, Haibo Yang, Kaitlyn Townsend, Sarah Pruteanu-Malinici, Kinnari Buch, Julia Dunn, Beliz Kurtoglu, Dehan Kong, Jessica Craddock, Manisha Chopra, Hongtu Zhu and Valerie Jewells, “IFN-b-1a Therapy Induces the Expansion of TGF-β1-Producing B-Cells and FOXP3+ T-Regulatory Cells in Patients with Relapsing-Remitting Multiple Sclerosis (RRMS),” Neurology 86(16), 2016.
Guorong Wu, Minjeong Kim, Qian Wang, Brent Munsell, Dinggang Shen, “Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning,” IEEE Transactions on Biomedical Engineering, 2016.
Minjeong Kim, Guorong Wu, Dinggang Shen, “Improve Image Registration by Sparse Patch-Based Deformation Estimation”, NeuroImage 105:257-268, 2015.
Guorong Wu, Minjeong Kim, Gerard Sanroma, Qian Wang, Brent Munsell, Dinggang Shen, "Hierarchical Multi-atlas Label Fusion with Multi-scale Feature Representation and Label-specific Patch Partition”, NeuroImage 106:34-46, 2015.
Qian Wang, Minjeong Kim, Guorong Wu, Dinggang Shen, “Predict Brain MR Image Registration via Sparse Learning of Appearance and Transformation”, Medical Image Analysis 20(1):61-75, 2015.
Guorong Wu, Minjeong Kim, Qian Wang, Dinggang Shen, “S-HAMMER: Hierarchical Attribute-Guided, Symmetric Diffeomorphic Registration for MR Brain Images”, Human Brain Mapping 35(3):1044-1060, 2014.
Yazhong Tao, Xin Zhang, Manisha Chopra, Minjeong Kim, Kinnari R. Buch, Dehan Kong, Jianping Jin, Yunan Tang, Hongtu Zhu, Valerie Jewells and Silva Markovic-Plese, “The Role of Endogenous IFN-β in the Regulation of Th17 Responses in Patients with Relapsing-Remitting Multiple Sclerosis”, Journal of Immunology 192(12): 5610-617, 2014.
Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen, "Automatic Hippocampus Segmentation of 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models", Neuroimage 83:335-345, 2013.
Yang Li, Valerie Jewells, Minjeong Kim, Yasheng Chen, Andrew Moon, Diane Armao, Luigi Troiani, Silva Markovic-Plese, Weili Lin, Dinggang Shen, “Diffusion Tensor Imaging Based Network Analysis Detects Alterations in Neuroconnectivity in Patients with Clinically Early Relapsing Remitting Multiple Sclerosis”, Human Brain Mapping 34:3376–3391, 2013.
Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen, "Fast and Robust Brain Registration by Learning Deformation-Appearance Correlation", IEEE Transactions on Image Processing, 21(4): 1823-1833, 2012.
Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, and Dinggang Shen “Directed Graph Based Image Registration”, Computerized Medical Imaging and Graphics, 36(2): 139-151, 2012.
Minjeong Kim, Guorong Wu, Dinggang Shen, “Hierarchical Alignment of Breast DCE-MR Images by Groupwise Registration and Robust Feature Matching”, Medical Physics, 39(1): 353-366, 2012.
Guorong Wu, Pew-Thian Yap, Minjeong Kim, Dinggang Shen, "TPS-HAMMER: Improving HAMMER Registration Algorithm by Soft Correspondence Matching and Thin-Plate Splines Based Deformation Interpolation", NeuroImage 49(3):2225-2233, 2010.
Songyuan Tang, Yong Fan, Guorong Wu, Minjeong Kim, Dinggang Shen, "RABBIT: Rapid Alignment of Brains by Building Intermediate Templates", Neuroimage, 47(4):1277-87, Oct. 2009.
Jeany Son, Minjeong Kim, Myoung-Hee Kim, “Confocal Microscopy Image Segmentation and Extracting Structural Information for Morphological Change Analysis of Dendritic Spine”, Korean Journal of Simulation, Vol. 17, No. 4, pp.167-174, Dec. 2008.
Yu-Bu Lee, Minjeong Kim, Myoung-Hee Kim, “Robust Border Enhancement and Detection for Measurement of Fetal Nuchal Translucency in Ultrasound Images”, Medical & Biological Engineering & Computing, Vol.45, No.11, pp.1143-1152, Nov. 2007.
Minjeong Kim, Joung-Min Lee, Myoung-Hee Kim, “Structural Segmentation for 3-D Brain Image by Intensity Coherence Enhancement and Classification”, Journal of Korean Information Processing Society 13(A): 465-472, 2006.
Yoo-Joo Choi, Minjeong Kim, Ji-Young Park, Joo-Young Park, Hyun-Joo Yun, Seung Bong Hong, Myoung-Hee Kim, “Surface Curvature-based MR-PET Image Registration and Hybrid Hippocampus Modeling”, Key Engineering Materials 277:212-218, 2005.
Minjeong Kim, Soo-Min Song, Yu-Bu Lee, Hyun-Joo Yun, Yoo-Joo Choi, Myoung-Hee Kim, “Feature-based Vessel Registration for Image-guided PCI (Percutaneous Coronary Intervention)”, Journal of Korean Society of PACS, 11,. pp. 69-78, Oct. 2005.
Ji-Young Park, Yoo-Joo Choi, Minjeong Kim, Woo-Suk Tae, Seung-Bong Hong, Myoung-Hee Kim, “Multimodal Brain Image Registration based on Surface Distance and Surface Curvature Optimization”, Journal of Korean Information Processing Society 11(A): 391-400, 2004.
Yoo-Joo Choi, Minjeong Kim, Ji-Young Park, Hyun-Joo Yun, Myung-Jin Jung, Seung-Bong Hong, Myoung-Hee Kim, “Multi-modality Medical Image Registration based on Moment Information and Surface Distance”, Journal of Korea Information Science Society 31(4): 224-238, 2004.

Conference papers

David Yang, Mostafa Abdelmegeed, John Modl, and Minjeong Kim, "Edge-Boosted Graph Learning for Functional Brain Connectivity Analysis," IEEE International Symposium on Biomedical Imaging (ISBI), Houston, TX, April 14-17, 2025.
Mostafa Abdelmegeed and Minjeong Kim, "Functional-Positional Context Embedding in Graph Neural Networks for Improved Parkinson’s Disease Diagnosis," IEEE International Symposium on Biomedical Imaging (ISBI), Houston, TX, April 14-17, 2025.
Joonhyuk Park, Yechan Hwang, Moo K Chung, Minjeong Kim, Guorong Wu, Won Hwa Kim, “Brain Connectome Analysis for Alzheimer’s Disease using Hodge Laplacian-based Edge Convolution,” Organization for Human Brain Mapping Annual Mapping (OHBM), Seoul, Korea, Jun. 24-27, 2024 (abstract/short paper).
Seunghun Baek, Jaeyoon Sim, Mustafa Dere, Minjeong Kim, Guorong Wu, and Won Hwa Kim, "Modality-agnostic style transfer for holistic feature imputation," IEEE International Symposium on Biomedical Imaging (ISBI), 2024.
Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z Kovalsky, Minjeong Kim, Won Hwa Kim, and Guorong Wu, "Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals," Neural Information Processing Systems (NeurIPS), New Orleans, USA, December 10-16, 2023.
Joonhyuk Park, Yechan Hwang, Moo K. Chung, Minjeong Kim, Guorong Wu, Won Hwa Kim, "Convolving Graph Edges via Hodge Laplacian for Brain Network Dysfunction Classification," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada, October 8-12, 2023.
Tingting Dan, Minjeong Kim, Won Hwa Kim, and Guorong Wu, "Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada, October 8-12, 2023.
Tingting Dan, Minjeong Kim, Won Hwa Kim, and Guorong Wu, "TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada, October 8-12, 2023.
Tingting Dan, Minjeong Kim, Won Hwa Kim, and Guorong Wu, "Enhance Early Diagnosis Accuracy of Alzheimer’s Disease by Elucidating Interactions between Tau Propagation and Amyloid Cascade," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada, October 8-12, 2023.
Huan Liu, Tingting Dan, Zhuobin Huang, Defu Yang, Won Hwa Kim, Minjeong Kim, Paul Laurienti, Guorong Wu. "HoloBrain: A Harmonic Holography for Stereotyped Brain Function," Information Processing in Medical Imaging (IPMI), San Carlos De Bariloche, Argentina, June 18-23, 2023.
Ziquan Wei, Tingting Dan, Jiaqi Ding, Carolyn McCormick, Felix A. Kyere, Minjeong Kim, David Borland, Jason L. Stein, and Guorong Wu. "High Throughput Deep Model of 3D nucleus instance Segmentation by Stereo Stitching Contextual Gaps," IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia, April 18-21, 2023.
Seunghun Baek, Injun Choi, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim. "Learning Covariance-based Multi-scale Representation of NeuroImaging Measures for Alzheimer Classification," IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia, April 18-21, 2023.
Junbo Ma, Oleh Krupa, Rose Glass, Carolyn McCormick, David Borland, Minjeong Kim, Jason Stein, Guorong Wu, "3D Nucleus Instance Segmentation for Tissue Clearing Light Sheet Microscopy Images," Information Processing in Medical Imaging (IPMI), 2021.
Andrew Chen, Minjeong Kim, and Guorong Wu, “Disentangling the Spatio-temporal Heterogeneity of Alzheimer’s Disease Using a Deep Predictive Stratification Network," IEEE International Symposium on Biomedical Imaging (ISBI), 2021.
Minjeong Kim, Jia Hou, and Guorong Wu, “Constructing Reliable Network of Biomarker Covariance by Joint Data Harmonization and Graph Learning,” IEEE International Symposium on Biomedical Imaging (ISBI), 2021.
Minjeong Kim, Defu Yang, and Guorong Wu, “Discovering Unprecedented Heuristics for Hub Identification by Joint Graph Embedding and Reinforcement Learning,” IEEE International Symposium on Biomedical Imaging (ISBI), 2021.
Jiazhou Chen, Guoqiang Han, Hongmin Cai, Junbo Ma, Minjeong Kim, Paul Laurienti, and Guorong Wu, "Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.
Yi Lin, Defu Yang, Jie Peng, Chengang Yan, Yue Gao, Minjeong Kim, Paul Laurienti, Guorong Wu, “A General Learning-based Framework to Characterize Intrinsic Connectivity Strength in Brain Networks,” Organization for Human Brain Mapping Annual Mapping (OHBM), Montreal, Canada, Jun. 26-30, 2020 (abstract/short paper).
Anqi Chen, Defu Yang, Chenggang Yan, Minjeong Kim, Paul Laurienti, Guorong Wu, “Reinforcement Learning the Heuristics of Hub Identification over Brain Networks,” Organization for Human Brain Mapping Annual Mapping (OHBM), Montreal, Canada, Jun. 26-30, 2020 (abstract/short paper).
Anqi Chen, Defu Yang, Chenggang Yan, Ziwen Peng, Minjeong Kim, Paul Laurienti, Guorong Wu, “A Novel Spatio-temporal Hub Identification Method for Dynamic Functional Networks,” IEEE International Symposium on Biomedical Imaging (ISBI), Iowa City, Iowa, Apr. 3-7, 2020.
Minjeong Kim, Xiaofeng Zhu, Ziwen Peng, Peipeng Liang, Daniel Kaufer, Paul Laurienti, Guorong Wu, "Constructing Multi-Scale Connectome Atlas by Learning Common Topology of Brain Networks,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, Oct. 13-17, 2019.
Minjeong Kim, Amr Moussa, Peipeng Liang, Daniel Kaufer, Paul Laurienti, Guorong Wu, "Revealing Functional Connectivity by Learning Graph Laplacian,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, Oct. 13-17, 2019.
Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen, “Multimodal Hyper-Connectivity Networks for MCI Classification,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec, Canada, Sep. 2017.
Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, Dinggang Shen, “Deformable Image Registration based on Similarity-Steered CNN Regression,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec, Canada, Sep. 2017.
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Guorong Wu, “A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity,” Information Processing in Medical Imaging (IPMI), Boone, USA, Jun. 2017.
Yang Li, Jingyu Liu, Meilin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen, “Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification,” International Workshop on Machine Learning in Medical Imaging (MLMI), Quebec, Canada, Sep. 2017.
Yang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen, “Fusion of High-order and Low-order Effective Connectivity Networks for MCI Classification,” International Workshop on Machine Learning in Medical Imaging (MLMI), Quebec, Canada, Sep. 2017.
Yang Li, Hao Yang, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen, “Novel Effective Connectivity Network Inference for MCI Identification,” International Workshop on Machine Learning in Medical Imaging (MLMI), Quebec, Canada, Sep. 10, 2017.
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Daniel Kaufer, Guorong Wu, “A Novel Dynamic Hyper-Graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases,” Information Processing in Medical Imaging (IPMI), Boone, USA, Jun. 2017.
Chen Zu, Yue Gao, Brent Munsell, Minjeong Kim, Ziwen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu, “Learning Subnetwork Biomarkers via Hypergraph for Classification of Autism Disease,” International Society for Magnetic Resonance in Medicine Scientific Meeting and Exhibition (ISMRM), Hawaii, USA, Apr. 2017.
Ehsan Adeli, Guorong Wu, Minjeong Kim, Dinggang Shen, “Which one is a better marker for the Diagnosis of Parkinson’s Disease: T1 MRI or DTI,” International Society for Magnetic Resonance in Medicine Tenth Scientific Meeting and Exhibition (ISMRM), Hawaii, USA, Apr. 2017.
Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen, “Efficient Groupwise Registration for Brain MRI by Fast Initialization,” International Workshop on Machine Learning in Medical Imaging (MLMI), Quebec, Canada, Sep. 2017.
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Daniel Kaufer, Guorong Wu, “Personalized Diagnosis for Alzheimer’s Disease,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec, Canada, Sep. 2017.
Chen Zu, Yue Gao, Brent Munsell, Minjeong Kim, Ziwen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu, “Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph,” International Workshop on Machine Learning in Medical Imaging (MLMI), Athens, Greece, Oct. 2016.
Minjeong Kim, Guorong Wu, Islem Rekik, Dinggang Shen, “Dual-layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images,” International Workshop on Machine Learning in Medical Imaging (MLMI), Athens, Greece, Oct. 2016.
Qian Wang, Guorong Wu, Minjeong Kim, Lichi Zhang, Dinggang Shen, "Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image,” CCF Chinese Conference on Computer Vision , Xi'an, China, September 18-20, 2015.
Yazhong Tao, Xin Zhang, Minjeong Kim, Nazanin Kiapour, Danny Bruce, Haibo Yang, Kaitlyn Townsend, Sarah Pruteanu-Malinici, Kinnari R. Buch, Julia L. M. Dunn, Beliz Kurtoglu, Dehan Kong, Jessica Craddock, Manisha Chopra, Hongtu Zhu, Vallerie Jewells, Silva Markovic-Plese, “Interferon-beta-1a therapy induces the expansion of TGF-β1-producing B cells and FOXP3+ T-regulatory cells in patients with relapsing–remitting multiple sclerosis (RRMS),” American Academy of Neurology (AAN) Annual Meeting, Vancouver, Canada, 2016.
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen, Guorong Wu, “Early Diagnosis of Alzheimer’s Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, Oct. 2016.
Silva Markovic-Plese, Xin Zhang, N. Kiapour, Minjeong Kim, Valerie Jewells, “IL-11 induces autoreactive CD4+ cell migration to the CNS in experimental autoimmune encephalomyelitis (EAE) and relapsing remitting multiple sclerosis (RRMS),” European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), London, UK, Sep. 2016.
Yue Gao, Chong-Yaw Wee, Minjeong Kim, Panteleimon Giannakopoulos, Marie-Louise Montandon, Sven Haller, Dinggang Shen, “MCI Identification by Joint Learning on Multiple MRI Data,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Munich, Germany, Oct. 2015.
Yue Gao, Ehsan Adeli., Minjeong Kim, Panteleimon Giannakopoulos, Sven Haller, Dinggang Shen, “Medical Image Retrieval using Multi-Graph Learning for MCI Diagnostic Assistance,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Munich, Germany, Oct. 2015.
Minjeong Kim, Guorong Wu, Yanrong Guo, Dinggang Shen "Joint Labeling of Multiple Regions of Interest (ROIs) by Enhanced Auto Context Models,” IEEE International Symposium on Biomedical Imaging (ISBI), New York, USA, Apr. 2015.
Shuyu Li, Feng Shi, Guangkai Ma, Minjeong Kim, Dinggang Shen, “Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-high Field MRI,” International Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, Oct. 9, 2015.
Minjeong Kim, Guorong Wu, Qian Wang, Dinggang Shen, “Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images,” International Workshop on Medical Imaging and Augmented Reality (MIAR), Nagoya, Japan, Sep. 22, 2013.
Qian Wang, Minjeong Kim, Guorong Wu, Dinggang Shen, "Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration,” Information Processing in Medical Imaging (IPMI), Asilomar, USA, Jun. 2013.
Guorong Wu, Qian Wang, Minjeong Kim, Shu Liao, Yaozong Gao, and Dinggang Shen, "Unsupervised Deep Feature Learning for Deformable Image Registration of MR Brains,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nagoya, Japan, Sep. 22-26, 2013.
Minjeong Kim, Guorong Wu, Dinggang Shen, “Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images,” International Workshop on Machine Learning in Medical Imaging (MLMI), Nagoya, Japan, Sep. 2013.
Minjeong Kim, Guorong Wu, and Dinggang Shen, "Sparse Patch-guided Deformation Estimation for Improved Image Registration,” International Workshop on Machine Learning in Medical Imaging (MLMI), Nice, France, Oct. 2012.
Guorong Wu, Minjeong Kim, Qian Wang, and Dinggang Shen, “Robust Patch-Based Multi-Atlas Labeling by Joint Sparsity Regularization,” International workshop on Sparsity Techniques in Medical Imaging (STMI), Oct. 2012.
Ilwoo Lyu, Gang Li, Minjeong Kim, Dinggang Shen, “Multiple Atlases-based Joint Labeling of Human Cortical Sulcal Curves,” International workshop on Medical Computer Vision (MCV), Oct. 2012.
Guorong Wu, Minjeong Kim, Qian Wang, and Dinggang Shen, "Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, Oct. 2012.
Guorong Wu, Minjeong Kim, Qian Wang, and Dinggang Shen, "S-HAMMER: Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration,” Organization for Human Brain Mapping Annual Meeting (OHBM), Beijing, China, Jun. 2012.
Minjeong Kim, Guorong Wu, Dinggang Shen, “Groupwise Registration of Breast DCE-MR Images for Accurate Tumor Measurement,” International Symposium on Biomedical Imaging (ISBI), Chicago, Illinois, U.S.A, Mar 30-Apr 2, 2011.
Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, Dinggang Shen, "Directed Graph Based Image Registration,” International Workshop on Machine Learning in Medical Imaging (MLMI), Toronto, Canada, Sep. 2011.
Hongjun Jia, Guorong‎ Wu, Qian‎ Wang, Minjeong‎ Kim, Dinggang Shen, "iTREE: Fast and Accurate Image Registration Based on the Combinative and Incremental Tree,” International Symposium on Biomedical Imaging (ISBI), Chicago, Illinois, U.S.A, Mar. 2011.
Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, and Dinggang Shen, “Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models,” International Workshop on Machine Learning in Medical Imaging (MLMI), Toronto, Canada, Sep. 2011.
Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen, "A Generalized Learning Based Framework for Fast Brain Image Registration,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Beijing, China, Sep. 20-24, 2010.
Minjeong Kim, Songyuan Tang, Yong Fan, Dinggang Shen, "High Speed Brain Image Registration,” 95th RSNA (Radiological Society of North America) Scientific Assembly and Annual Meeting, Chicago, Nov. 2009.
Songyuan Tang, Yong Fan, Minjeong Kim, Dinggang Shen, "RABBIT: Rapid Alignment of Brains by Building Intermediate Templates,” SPIE Medical Imaging, Florida, Feb. 2009.
Minjeong Kim, Myoung-Hee Kim, Dinggang Shen, "Learning-based Deformation Estimation for Fast Non-rigid Registration,” IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), Jun. 2008.
Soo-Min Song, Minjeong Kim, Joung-Min Lee, Hye-Jin Park, KyeongMin Kim, Gi-Jeong Cheon, Myoung-Hee Kim, “Coregistration of Small Animal PET and Autoradiography for in vivo–ex vivo Comparison,” Iberoamerican Congress on Pattern Recognition , Nov. 2007.
Minjeong Kim, Yoo-Joo Choi, Soo-Mi Choi, and Myoung-Hee Kim, “Multi-dimensional Visualization and Analysis of Cardiac MR Images during Long-term Follow-up,” International Conference on Image Analysis and Recognition (ICIAR), Sep. 2006.
Minjeong Kim, Hyun-Joo Yun, Myoung-Hee Kim, “Faster, More Accurate Diffusion Filtering for Fetal Ultrasound Volumes,” International Conference on Image Analysis and Recognition (ICIAR), Sep. 2006.
Minjeong Kim, Myoung-Hee Kim, “Image Enhancing Technique for High-quality Visual Simulation of Fetal Ultrasound Volumes,” Asian Simulation Conference (JSST), Tokyo, Japan, Nov. 2006.
Yoo-Joo Choi, Jeong-Sik Kim, Minjeong Kim, Soo-Mi Choi, and Myoung-Hee Kim, “Metabolic Visualization and Intelligent Shape Analysis of the Hippocampus Using MR and SPECT Images,” Computational intelligence and security (CIS), Xi’an, China, Dec. 2005.
Yoo-Joo Choi, Minjeong Kim, Joung-Min Lee, Myoung-Hee Kim, “Visualization and Analysis of Hippocampus Features using MR and SPECT images,” Korea-Germany Joint Workshop on Advanced Medical Image Processing, Berlin, Germany, Jun. 2005.
Myoung-Hee Kim, Minjeong Kim, Soo-Mi Choi, Yoo-Joo Choi, Yu-Bu Lee, “Computer Assisted Surgical Planning for Coronary Artery Bypass Grafting,” ACM SIGGRAPH, LA, USA, Aug. 2004.
Yoo-Joo Choi, Minjeong Kim, Ji-Young Park, Hyun-Ju Yun, Seung-Bong Hong, Myoung-Hee Kim, “Brain Image Registration based on Surface Curvature Optimization and Visualization of Hippocampus Shape Reconstruction,” Int’l Women’s Conference of BIEN Technology, Daejeon, Korea, Nov. 2003.
Myoung-Hee Kim, Yoo-Joo Choi, Minjeong Kim, Ji-Young Park, Hyun-Joo Yun, Seung-Bong Hong, Woo-Suk Tae, “Multi-Modality Brain Image Registration based on Moment- and Surface Information,” Korea-Germany Joint Workshop on Advanced Medical Image Processing, Seoul, Korea, Oct. 2003.
Myoung-Hee Kim, Minjeong Kim, Soo-Kyung Chin, Yoo-Joo Choi, “Comparative Visualization of Regional Parameters for the Analysis of Cardiac Chamber Function,” Korea-Germany Joint Workshop on Advanced Medical Image Processing, Hamburg, Germany, May 2002.
Myoung-Hee Kim, Jeong-Euy Park, Yeon-Hyeon Choe, Soo-Mi Choi, Yoo-Joo Choi, Soo-Kyung Chin, Minjeong Kim, “Visualization and Quantitative Analysis of the Left Ventricle Function Using MRI,” International Society for Magnetic Resonance in Medicine Tenth Scientific Meeting and Exhibition (ISMRM), Hawaii, USA, May, 2002.
Myoung-Hee Kim, Soo-Mi Choi, Helen Hong, Yoo-Joo Choi, Minjeong Kim, Soo-Kyung Chin, “Cardiac-Station: Visual and Quantitative Analysis of Ventricular MRI images,” Korea-Germany Joint workshop on Advanced Medical Image Processing, Seoul, Korea, May 2001.

Books and Book chapters

Jie-Zhi Cheng, Minjeong Kim, and Xin Yang, "Editorial: Workflow optimisation for radiological imaging," Frontiers in Medicine, volume 11, 2024.
Xiaofeng Zhu, Shuo Shang, Minjeong Kim, "Editorial Privacy-preserving Representation Learning for Big Data," Neurocomputing , 2020.
Xiaofeng Zhu, Chong-Yaw Wee, Minjeong Kim, "Deep understanding of big multimedia data," Neural Computing and Applications, 2020.
Minjeong Kim, Chenggang Yan, Defu Yang, Qian Wang, Junbo Ma, Guorong Wu, “Deep learning in biomedical image analysis”, Biomedical Information Technology, 239-263, Academic Press, 2020.
Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Ai W. Chung, Connectomics in NeuroImaging (Proceedings), 1-137, Springer, 2019.
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Daniel I. Kaufer, Paul J. Laurienti, Guorong Wu, Characterizing dynamic functional connectivity using data-driven approaches and its application in the diagnosis of alzheimer’s disease, Connectomics, 181-197, Academic Press, 2019.
Shaoyu Wang, Minjeong Kim, Guorong Wu, Dinggang Shen, “Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning”, Deep Learning for Medical Image Analysis, Elsevier, 2016.
Gerard Sanroma, Guorong Wu, Minjeong Kim, Miguel Á. G. Ballester, Dinggang Shen, “Multiple-Atlas Segmentation in Medical Imaging”, Medical Image Recognition, Segmentation and Parsing, Elsevier, 2015.

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