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POSTECH

김원화 부교수

학력

  • 2011.09 ~ 2017.08 UNIVERSITY OF WISCONSIN - MADISON (박사-인공지능)
  • 2008.02 ~ 2010.01 한국과학기술원 (석사-Robotics)
  • 2001.03 ~ 2008.02 성균관대학교 (학사-정보통신공학)

주요경력

  • 2018.01 ~ 2020.12 UNIVERSITY OF TEXAS AT ARLINGTON COMPUTER SCI. & ENG
  • 2017.09 ~ 2018.01 NEC LABS DATA SCIENCE TEAM

전문분야

  • 인공지능
  • 의료영상
  • 컴퓨터비전
  • 머신러닝

학술지

국제전문학술지
  • Developing Explainable Deep Model for Discovering Novel Control Mechanism of NeuroDynamics, IEEE Transactions on Medical Imaging, , 43, 427-438 (2024 )
  • StyleKD Classimbalanced medical image classification via style knowledge distillation, Biomedical Signal Processing and Control, , 91, 105928- (2024 )
  • TauFlowNet Revealing latent propagation mechanism of tau aggregates using deep neural transport equations, Medical Image Analysis, , 95, - (2024 )
  • Dynamic covariance estimation via predictive Wishart process with an application on brain connectivity estimation, Computational Statistics and Data Analysis, , 185, - (2023 )
  • Performing Group Difference Testing on Graph Structured Data from GANs Analysis and Applications in Neuroimaging, IEEE Transactions on Pattern Analysis and Machine Intelligence, , 44, 877-889 (2022 )
  • Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology, IEEE Open Journal of Engineering in Medicine and Biology, , 3, 47-57 (2022 )
  • Learning Multiresolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, , 12729, 253-266 (2021 )
  • BrainNET Inference of Brain Network Topology Using Machine Learning, Brain Connectivity, , 10, 422-435 (2020 )
  • Toward Unbiased Facial Expression Recognition in the Wild via CrossDataset Adaptation, IEEE Access, , 8, 159172-159181 (2020 )
  • Utilizing machine learning to discern hidden clinical values from big data in urology, Investigative and Clinical Urology, , 61, 239-241 (2020 )
  • Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in PreClinical Alzheimers Disease, Brain Connectivity, , 9, 162-173 (2019 )
  • Association of longitudinal white matter degeneration and cerebrospinal fluid biomarkers of neurodegeneration inflammation and Alzheimer’s disease in latemiddleaged adults, Brain Imaging and Behavior, , 13, 41-52 (2019 )
  • Cerebrospinal fluid biomarkers of neurofibrillary tangles and synaptic dysfunction are associated with longitudinal decline in white matter connectivity A multiresolution graph analysis, NeuroImage Clinical, , 21, - (2019 )
  • Multiresolution statistical analysis of brain connectivity graphs in preclinical Alzheimers disease, NeuroImage, , 118, 103-117 (2015 )
  • Multiresolutional shape features via nonEuclidean wavelets Applications to statistical analysis of cortical thickness, NeuroImage, , 93, 107-123 (2014 )
일반학술지
  • ImageLabel Recovery on Fashion Data Using Image Similarity from Triple Siamese Network, Technologies Basel, , 9, 10- (2021 )

학술회의 논문

  • CNGSFDA CleanandNoisy Region Guided OnlineOffline SourceFree Domain Adaptation, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, - (2024)
  • OCL Ordinal Contrastive Learning for Imputating Features with Progressive Labels, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 334-344 (2024)
  • Multiorder SimplexBased Graph Neural Network for Brain Network Analysis, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 532-541 (2024)
  • Uncovering Cortical Pathways of PrionLike Pathology Spreading in Alzheimer’s Disease by Neural Optimal Mass Transport, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 498-508 (2024)
  • UncertaintyAware DiffusionBased Adversarial Attack for Realistic Colonoscopy Image Synthesis, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 647-658 (2024)
  • GenetoImage Decoding Brain Images from Genetics via Latent Diffusion Models, Proceedings of the International Workshop PRIME, 0, 0, - (2024)
  • Modelling Brain Atrophy Dynamics Enhances Predicting Cognitive Decline in Alzheimer’s Disease Continuum, , 0, 0, - (2024)
  • Exploring the Enigma of Neural Dynamics Through A ScatteringTransform Mixer Landscape for Riemannian Manifold, Proceedings of Machine Learning Research, 0, 0, 9976-9990 (2024)
  • Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization, Proceedings of Machine Learning Research, 0, 0, 8593-8608 (2024)
  • ModalityAgnostic Style Transfer for Holistic Feature Imputation, Proceedings International Symposium on Biomedical Imaging, 0, 0, - (2024)
  • Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations, , 0, 0, - (2024)
  • Learning to Approximate Adaptive Kernel Convolution on Graphs, Proceedings of the AAAI Conference on Artificial Intelligence, 0, 0, 4882-4890 (2024)
  • Interactive Network Perturbation Between Teacher and Students for SemiSupervised Semantic Segmentation, Proceedings 2024 IEEE Winter Conference on Applications of Computer Vision WACV 2024, 0, 0, 615-624 (2024)
  • Multiresolution Spectral Coherence for Graph Generation with Scorebased Diffusion , Advances in Neural Information Processing Systems, 0, 0, - (2023)
  • ReThink and ReDesign Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals , Advances in Neural Information Processing Systems, 0, 0, - (2023)
  • Uncovering StructuralFunctional Coupling Alterations for Neurodegenerative Diseases, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 87-96 (2023)
  • Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 776-786 (2023)
  • TauFlowNet Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 77-86 (2023)
  • Enhance Early Diagnosis Accuracy of Alzheimer’s Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 66-76 (2023)
  • Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 789-799 (2023)
  • Antiadversarial Consistency Regularization for Data Augmentation Applications to Robust Medical Image Segmentation, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 555-566 (2023)
  • RESToring Clarity Unpaired Retina Image Enhancement Using Scattering Transform, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 470-480 (2023)
  • Learning to Boost Training by Periodic Nowcasting Near Future Weights, Proceedings of Machine Learning Research, 0, 0, 14730-14757 (2023)
  • Devils on the Edges Selective Quad Attention for Scene Graph Generation, 2023 IEEECVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION CVPR, 0, 0, 18664-18674 (2023)
  • HoloBrain A Harmonic Holography for Selforganized Brain Function, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 29-40 (2023)
  • Learning Covariancebased Multiscale Representation of NeuroImaging Measures for Alzheimer Classification, 2023 IEEE 20TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING ISBI, 0, 0, - (2023)
  • NeuroRDM An Explainable Neural Network Landscape of ReactionDiffusion Model for Cognitive Task Recognition, Medical Image Computing and ComputerAssisted Intervention MICCAI, 0, 0, - (2022)
  • How Much to Aggregate Learning Adaptive NodeWise Scales on Graphs for Brain Networks, Medical Image Computing and ComputerAssisted Intervention MICCAI, 0, 0, 376-385 (2022)
  • Locally Normalized Soft Contrastive Clustering for Compact Clusters, IJCAI International Joint Conference on Artificial Intelligence, 0, 0, 3313-3320 (2022)
  • Disentangled Representation of Longitudinal ΒAmyloid for AD Via Sequential Graph Variational Autoencoder with Supervision , Proceedings International Symposium on Biomedical Imaging, 0, 0, - (2022)
  • Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer’s Disease Characterizations from ADNI Study, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 0, 0, 362-372 (2021)
  • Covariate Correcting Networks for Identifying Associations Between Socioeconomic Factors and Brain Outcomes in Children, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 0, 0, - (2021)
  • Learning Multiresolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders, IPMI 2021 proceedings LNCS 12729, 0, 0, - (2021)
  • COVLET CovarianceBased WaveletLike Transform for Statistical Analysis of Brain Characteristics in Children, Society of Medical Image Computing and Computer Assisted Intervention MICCAI 2020, 0, 0, - (2020)
  • What Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 47-56 (2020)
  • Enriching Statistical Inferences on Brain Connectivity for Alzheimers Disease Analysis via Latent Space Graph Embedding, IEEE 17th International Symposium on Biomedical Imaging ISBI, 0, 0, - (2020)
  • Conditional recurrent flow Conditional generation of longitudinal samples with applications to neuroimaging, Computer Vision Foundation CVF, 0, 0, - (2019)
  • Online Graph Completion Multivariate Signal Recovery in Computer Vision, Computer Vision Foundation CVF, 0, 0, - (2017)
  • Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experiment Design in Neuroimaging, Computer Vision ECCV 2016, 0, 0, - (2016)
  • Latent Variable Graphical Model Selection Using Harmonic Analysis Applications to the Human Connectome Project HCP, Computer Vision Foundation CVF, 0, 0, - (2016)
  • On Statistical Analysis of Neuroimages With Imperfect Registration, Computer Vision Foundation CVF, 0, 0, - (2015)
  • Statistical Inference Models for Image Datasets With Systematic Variations, Computer Vision Foundation CVF, 0, 0, - (2015)
  • Multiresolution statistical analysis on graph structured data in neuroimaging, IEEE 12th International Symposium on Biomedical Imaging ISBI, 0, 0, - (2015)
  • The 4D Hyperspherical Diffusion Wavelet A New Method for the Detection of Localized Anatomical Variation, Society of Medical Image Computing and Computer Assisted Intervention MICCAI 2014, 0, 0, - (2014)
  • Multiresolutional Brain Network Filtering and Analysis via Wavelets on NonEuclidean Space, Society of Medical Image Computing and Computer Assisted Intervention MICCAI2013, 0, 0, - (2013)
  • Multiresolution Shape Analysis via NonEuclidean Wavelets Applications to Mesh Segmentation and Surface Alignment Problems, Computer Vision Foundation CVF, 0, 0, - (2013)
  • Wavelet based multiscale shape features on arbitrary surfaces for cortical thickness discrimination, Advances in Neural Information Processing Systems, 0, 0, - (2012)

IP

  • , 선택적 사중 집중 모듈을 이용한 장면 그래프 생성 네트워크, 한국, 0 (PG20)
  • 김원화,백승훈,심재윤, 순차적 대조 학습을 이용한 결측치 대체 방법 및 장치, 한국, 10-2024-0156117 (P202)
  • 김원화,정민재,조현아,정성윤, 불확실성을 고려한 확산 모델 기반 적대적 공격에 의한 의료 영상 분할용 데이터 증강 시스템 및 그 방법, 한국, 10-2024-0161817 (IP24)
  • 김원화,송유지,이동현, 상미분방정식을 활용한 이벤트 포인트 프로세스 모델링, 한국, 10-2024-0161722 (IP24)
  • 김원화,백승훈,심재윤, 순차적 대조 학습을 이용한 결측치 대체 방법 및 장치, 한국, 10-2024-0128729 (IP24)
  • 김원화,백승훈,심재윤, 신경망을 이용한 납땜 검사 장치 및 그 동작 방법, 한국, 10-2024-0054209 (IP24)
  • 김원화,조현아, 반적대적 일관성 정규화를 통한 데이터 증강 및 적용 모델, 한국, 10-2023-0150565 (2023)
  • 김원화,조현아, 반적대적 일관성 정규화를 통한 이미지 증강 및 적용 모델, 한국, 10-2023-0127266 (2023)
  • 김원화,최인준, 확산 기반 커널을 이용한 그래프 분석 방법 및 장치, 한국, 10-2023-0045864 (2022)

학회발표

  • Brain Connectome Analysis for Alzheimer’s Disease using Hodge Laplacianbased Edge Convolution, , 0, 0, - (2024)
  • Covariate Correcting Network for Isolating the Impact of Longterm SES Changes on Brain Development, , 0, 0, - (2024)
  • Covariate Correcting Network for Detecting Sole Effect of Socioeconomic Status on Brain in Children, , 0, 0, - (2022)
  • Enriching Statistical Inferences on Brain Connectivity via Latent Space Graph Embeddings, Organization for Human Brain Mapping Annual Meeting, 0, 0, - (2020)
  • Multiresolution Graph Neural Network to Identify Disease Relevant Variations in Brain Connectivity, Organization for Human Brain Mapping Annual Meeting, 0, 0, - (2020)

연구실적

  • 김원화 신규부임교수 초기정착비(1차_대학), 포항공과대학교 (2021-2022)
  • 김원화 신규부임교수 기자재지원(1차_학과), 포항공과대학교 (2021-2022)
  • CONTINUING TOOL DEVELOPMENT FOR LONGITUDINAL NETWORK ANALYSIS: ENRICHING THE DIAGNOSTIC POWER OF DISEASE-SPECIFIC CONNECTOMIC BIOMARKERS BY DEEP GRAPH LEARNING, NATIONAL INSTITUTES OF HEALTH (2021-2023)
  • 2D 유방암 X-RAY 데이터를 활용한 합성 데이터 생성 및 유방암 진단솔루션 고도화, 과학기술정보통신부 (2021-2022)
  • 김원화 신규부임교수 초기정착비(2차_대학), 포항공과대학교 (2022-2023)
  • 한국형 치매 (K-DEMENTIA) 통합 빅데이터 허브 데이터베이스 구축 및 분석 플랫폼 개발, 한국보건산업진흥원 (2022-2022)
  • 뇌 커넥톰을 이용한 알츠하이머 조기 진단 및 증상 분석을 위한 그래프 딥러닝 기법 개발, 재단법인한국연구재단 (2022-2023)
  • VUNO MED 솔루션에 대한 선행 연구 자문 요청, 주식회사 뷰노 (2023-2024)
  • 한국형 치매 (K-DEMENTIA) 통합 빅데이터 허브 데이터베이스 구축 및 분석 플랫폼 개발, 한국보건산업진흥원 (2023-2023)
  • 연구개발과제[2023년도 신설], 포항공과대학교 (2023-2040)
  • 4.0024342_이월과제, 한국보건산업진흥원 (2023-2023)
  • 4.0025018_이월과제, 재단법인한국연구재단 (2023-2024)
  • 김원화 신규부임교수 초기정착비(3차/대학), 포항공과대학교 (2023-2024)
  • 뇌 커넥톰을 이용한 알츠하이머 조기 진단 및 증상 분석을 위한 그래프 딥러닝 기법 개발, 재단법인한국연구재단 (2023-2024)
  • 김원화 신규부임교수 초기정착비(3차/학과), 포항공과대학교 (2023-2024)
  • 한국형 치매 (K-DEMENTIA) 통합 빅데이터 허브 데이터베이스 구축 및 분석 플랫폼 개발, 한국보건산업진흥원 (2024-2024)
  • 4.0025534_이월과제, 한국보건산업진흥원 (2024-2024)
  • 뇌 커넥톰을 이용한 알츠하이머 조기 진단 및 증상 분석을 위한 그래프 딥러닝 기법 개발, 재단법인한국연구재단 (2024-2025)
  • 4.0025494_이월과제, 재단법인한국연구재단 (2024-2025)
  • 만성콩팥질환 분석 소프트웨어 개발, 부산대학교병원 (2024-2025)
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