Minjeong Kim

发表

The Impact of E-Retail Environment Characteristics on E-Satisfaction and Purchase Intent

Jung-Hwan Kim, Jay Kandampully, Minjeong Kim, 2011, Int. J. Serv. Sci. Manag. Eng. Technol..

Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images

Dinggang Shen, Qian Wang, Guorong Wu, 2013, AE-CAI.

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..

PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding pdf

Jian Tang, Jaegul Choo, Haesun Park, 2016, ArXiv.

RABBIT: Rapid alignment of brains by building intermediate templates

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

A Generalized Learning Based Framework for Fast Brain Image Registration

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

The Creative Commons and Copyright Protection in the Digital Era: Uses of Creative Commons Licenses

Minjeong Kim, 2007, J. Comput. Mediat. Commun..

A Multimodal Profile Ensemble Approach to Development of Recommender Systems Using Big Data

Minjeong Kim, Yoonho Cho, Y. Cho, 2015 .

Novel Effective Connectivity Network Inference for MCI Identification

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

Deformable Image Registration Based on Similarity-Steered CNN Regression

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

A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity

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

Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration

Dinggang Shen, Qian Wang, Guorong Wu, 2013, IPMI.

Impossibility of Full Decentralization in Permissionless Blockchains

Yongdae Kim, Dawn Song, Jian Liu, 2019, AFT.

Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image

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

Cartesian sensor-less force control for industrial robots

Minjeong Kim, Donghyeok Kim, Hyunchul Cho, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

iTree: Fast and accurate image registration based on the combinative and incremental tree

Dinggang Shen, Qian Wang, Guorong Wu, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images

Dinggang Shen, Guorong Wu, Minjeong Kim, 2013, MLMI.

Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning

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

Development of Youth Digital Citizenship Scale and Implication for Educational Setting

Minjeong Kim, Dongyeon Choi, Minjeong Kim, 2018, J. Educ. Technol. Soc..

Towards a Dynamic Data Driven Application System for Wildfire Simulation

Guan Qin, Andrew V. Knyazev, Wei Zhao, 2005, International Conference on Computational Science.

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.

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.

Privacy-preserving representation learning for big data

Shuo Shang, Minjeong Kim, Xiaofeng Zhu, 2020, Neurocomputing.

MCI Identification by Joint Learning on Multiple MRI Data

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

A wildland fire model with data assimilation

Jonathan D. Beezley, Jan Mandel, Minjeong Kim, 2007, Math. Comput. Simul..

An Exploratory Study of Using Well-Structured Task and Ill-Structured Task in Wiki-Based Collaborative Learning Environment

Minjeong Kim, Hyewon Kim, 2008 .

Question-Aware Sentence Gating Networks for Question and Answering pdf

Jaegul Choo, Minjeong Kim, Hyungjong Noh, 2018, ArXiv.

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.

Probability model for risks of burst water pipes: a case study in Seoul

Minjeong Kim, Jayong Koo, Kyoungpil Kim, 2009 .

Cost-effective and accurate method of measuring fetal fraction using SNP imputation

Kangseok Kim, Minjeong Kim, Jai-Hoon Kim, 2018, Bioinform..

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

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

Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images

Dinggang Shen, Guorong Wu, Minjeong Kim, 2016, MLMI@MICCAI.

Effects of Mobile Instant Messaging on Collaborative Learning Processes and Outcomes: The Case of South Korea

Mi Young Lee, Minjeong Kim, Hyewon Kim, 2014, J. Educ. Technol. Soc..

Is Stellar As Secure As You Think?

Yongdae Kim, Minjeong Kim, Yujin Kwon, 2019, 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW).

Assimilation of Perimeter Data and Coupling with Fuel Moisture in a Wildland Fire-Atmosphere DDDAS

Jonathan D. Beezley, Jan Mandel, Minjeong Kim, 2012, ICCS.

Multimodal Hyper-connectivity Networks for MCI Classification

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

Estimating functional brain networks by incorporating a modularity prior

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

Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI

Dinggang Shen, Feng Shi, Shuyu Li, 2015, Patch-MI@MICCAI.

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

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

St-Bert: Cross-Modal Language Model Pre-Training for End-to-End Spoken Language Understanding pdf

Gyuwan Kim, Jung-Woo Ha, Minjeong Kim, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep learning in biomedical image analysis

Chenggang Yan, Guorong Wu, Qian Wang, 2020 .

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..

Image Enhancing Technique for High-quality Visual Simulation of Fetal Ultrasound Volumes

Myoung-Hee Kim, Minjeong Kim, Min-Jeong Kim, 2007 .

Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators

Han Woo Park, Minjeong Kim, 2011, Scientometrics.

A 16Gb 1.2V 3.2Gb/s/pin DDR4 SDRAM with improved power distribution and repair strategy

Sungho Kim, Jinkook Kim, Minjeong Kim, 2018, 2018 IEEE International Solid - State Circuits Conference - (ISSCC).

Prioritized Traffic Information Delivery Based on Historical Data Analysis

Jihoon Yang, Minjeong Kim, Byonghwa Oh, 2007, 2007 IEEE Intelligent Transportation Systems Conference.

Data assimilation for wildland fires

Minjeong Kim, J. Mandel, J.D. Beezley, 2007, IEEE Control Systems.

A Practical Approach for Enhancing Security of EPCglobal RFID Gen2 Tag

Jaemin Park, Minjeong Kim, Junchae Na, 2007, Future Generation Communication and Networking (FGCN 2007).

Developing a 3D Virtual Environment for Hearing Impaired Learners’ Learning of CNC Machine Operation

Minjeong Kim, Jeeheon Ryu, Insook Han, 2016 .

Deep understanding of big multimedia data

Minjeong Kim, Xiaofeng Zhu, Chong-Yaw Wee, 2020, Neural Computing and Applications.

Agent-oriented software modeling

Sooyong Park, Minjeong Kim, Jintae Kim, 1999, Proceedings Sixth Asia Pacific Software Engineering Conference (ASPEC'99) (Cat. No.PR00509).

Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models

Wei Li, Dinggang Shen, Guorong Wu, 2011, MLMI.

Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea

Sanghyun Park, Hyuk Lee, Minjeong Kim, 2017, Remote. Sens..

Groupwise registration of breast DCE-MR images for accurate tumor measurement

Dinggang Shen, Guorong Wu, Minjeong Kim, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Improved image registration by sparse patch-based deformation estimation

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

Directed graph based image registration

Dinggang Shen, Yaping Wang, Qian Wang, 2012, Comput. Medical Imaging Graph..

Prototyping Virtual Learning Environment with HMD and Touchless Interface for Hearing Impaired Learners

Minjeong Kim, Jeeheon Ryu, Insook Han, 2017 .

The Aegis: UICC-Based Security Framework

Jaemin Park, Minjeong Kim, Kyoungtae Kim, 2008, 2008 Second International Conference on Future Generation Communication and Networking.

E-Service Performance of Apparel E-Retailing Websites: A Longitudinal Assessment

Jung-Hwan Kim, Minjeong Kim, Sharron J. Lennon, 2018, Int. J. Serv. Sci. Manag. Eng. Technol..

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.

Confocal Microscopy Image Segmentation and Extracting Structural Information for Morphological Change Analysis of Dendritic Spine

Myoung-Hee Kim, Jeany Son, Minjeong Kim, 2008 .

Revealing Functional Connectivity by Learning Graph Laplacian

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

Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification

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

A General Fast Registration Framework by Learning Deformation–Appearance Correlation

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

Design-Based Research on the Design and Implementation of e-Portfolio

Minjeong Kim, 2006 .

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images

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

The effects of home page design on consumer responses: Moderating role of centrality of visual product aesthetics

Minjeong Kim, Jungmin Yoo, Minjeong Kim, 2014, Comput. Hum. Behav..

Designing Adaptive Learning Objects

Minjeong Kim, Jeeheon Ryu, Seung-Yoon Oh, 2003 .

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

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

A study on the designing and effectiveness verification of customized singing performance-assessment supporting tools for students in the voice-changing period using smart devices

Minjeong Kim, Kyoungtai Kim, 2016 .

Exploring the Learning Experience in Conversation Simulation Based on Virtual Environment through Using Semantic Network Analysis

Minjeong Kim, Choi Dongyeon, 2019 .

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

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

Directed Graph Based Image Registration

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

Dynamic Data-Driven Application Systems for Empty Houses, Contaminat Tracking, and Wildland Fireline Prediction

Yalchin Efendiev, Richard E. Ewing, Guan Qin, 2006, Grid-Based Problem Solving Environments.

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

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

Rabbit: Rapid Alignment of Brains by Building Intermediate Templates

Dinggang Shen, Guorong Wu, Yong Fan, 2022 .

Spectral-based automatic labeling and refining of human cortical sulcal curves using expert-provided examples

Sung Yong Shin, Ilwoo Lyu, Alan C. Evans, 2010, NeuroImage.

Predict brain MR image registration via sparse learning of appearance and transformation

Dinggang Shen, Qian Wang, Guorong Wu, 2015, Medical Image Anal..

PixelSNE: Pixel‐Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen‐Resolution Precision

Jian Tang, Jaegul Choo, Haesun Park, 2018, Comput. Graph. Forum.

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

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

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

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

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

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

Constructing Connectome Atlas by Graph Laplacian Learning

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

TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections

Niklas Elmqvist, Jaegul Choo, Minjeong Kim, 2017, IEEE Transactions on Visualization and Computer Graphics.

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

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

Structural Segmentation for 3-D Brain Image by Intensity Coherence Enhancement and Classification

Myoung-Hee Kim, Minjeong Kim, Joung-Min Lee, 2006 .

A Novel Spatio-Temporal Hub Identification Method for Dynamic Functional Networks

Chenggang Yan, Guorong Wu, Paul J. Laurienti, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

A Qualitative Study on the Difference in Organizational Fit of IT Supporting Organizations

Minjeong Kim, Young Chan Choe, Cheul Rhee, 2012, AMCIS.

Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images

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

Efficient Groupwise Registration for Brain MRI by Fast Initialization

Dinggang Shen, Jun Zhang, Guorong Wu, 2017, MLMI@MICCAI.

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.

Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves

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

Personalized Diagnosis for Alzheimer's Disease

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

Quantitative Analysis of Metabolism for Brain Hippocampus based on Multi-modality Image Registration

Myoung-Hee Kim, Yoo-Joo Choi, Minjeong Kim, 2004 .

Sparse Patch-Guided Deformation Estimation for Improved Image Registration

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

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph

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

Big Data Analysis and Modeling of Disinformation Consumption and Diffusion on YouTube

Han Woo Park, Minjeong Kim, Chung Joo Chung, 2019 .

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

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

Effects of the Types of Communication Media on Collaborative Problem Solving Tasks

Mi-Young Lee, Minjeong Kim, Hyewon Kim, 2013 .

A Multidimensional Analysis Tool for Visualizing Online Interactions

Eunchul Lee, Minjeong Kim, 2012, J. Educ. Technol. Soc..

A Dynamic Data Driven Wildland Fire Model

Jonathan D. Beezley, Jan Mandel, Minjeong Kim, 2007, International Conference on Computational Science.

Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold

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

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).

Surface Curvature-Based MR-PET Image Registration and Hybrid Hippocampus Modeling

Myoung-Hee Kim, Joo-Young Park, Minjeong Kim, 2004 .

ENSEMBLE KALMAN FILTERS IN COUPLED ATMOSPHERE-SURFACE MODELS

Jonathan D. Beezley, Jan Mandel, Minjeong Kim, 2009 .

Context-aware photo selection for promoting photo consumption on a mobile phone

Youngwoo Yoon, Geehyuk Lee, Minjeong Kim, 2008, Mobile HCI.

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

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

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

Guorong Wu, David Borland, Minjeong Kim, 2021, BMC Bioinform..

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

Sébastien Ourselin, Andrew Melbourne, Neil Marlow, 2021, Medical Image Anal..

3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images

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

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).

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

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

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.