Won Hwa Kim

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 53

Top Topics

Statistical Analysis

Brain Connectivity

Graph Structure

Early Diagnosis

Top Venues

Publications

Hyeonwoo Cho, Chanmin Park, Jinyoung Kim, Won Hwa Kim
CNA-TTA: Clean and Noisy Region Aware Feature Learning within Clusters for Online-Offline Test-Time Adaptation. CoRR (2024)
Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics. IEEE Trans. Medical Imaging 43 (1) (2024)
Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim
Learning to Approximate Adaptive Kernel Convolution on Graphs. CoRR (2024)
Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim
Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations. CoRR (2024)
Hyuna Cho, Injun Choi, Suha Kwak, Won Hwa Kim
Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation. WACV (2024)
Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim
Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations. ICLR (2024)
Dong-Hee Kim, Sungduk Cho, Hyeonwoo Cho, Chanmin Park, Jinyoung Kim, Won Hwa Kim
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture. CoRR (2024)
Tingting Dan, Mustafa Dere, Won Hwa Kim, Minjeong Kim, Guorong Wu
TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations. Medical Image Anal. 95 (2024)
Inhyuk Park, Won Hwa Kim, Jongbin Ryu
Style-KD: Class-imbalanced medical image classification via style knowledge distillation. Biomed. Signal Process. Control. 91 (2024)
Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim
Learning to Approximate Adaptive Kernel Convolution on Graphs. AAAI (2024)
Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. NeurIPS (2023)
Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation. MICCAI (3) (2023)
Huan Liu, Tingting Dan, Zhuobin Huang, Defu Yang, Won Hwa Kim, Minjeong Kim, Paul J. Laurienti, Guorong Wu
HoloBrain: A Harmonic Holography for Self-organized Brain Function. IPMI (2023)
Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation. CoRR (2023)
Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. CoRR (2023)
Hyuna Cho, Yubin Han, Won Hwa Kim
Anti-adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation. MICCAI (4) (2023)
Ellen Jieun Oh, Yechan Hwang, Yubin Han, Taegeun Choi, Geunyoung Lee, Won Hwa Kim
RESToring Clarity: Unpaired Retina Image Enhancement Using Scattering Transform. MICCAI (10) (2023)
Changhee Yun, Bomi Eom, Sungjun Park, Chanho Kim, Dohwan Kim, Farah Jabeen, Won Hwa Kim, Hye Jung Kim, Jaeil Kim
A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography. Sensors 23 (5) (2023)
Rui Meng, Fan Yang, Won Hwa Kim
Dynamic covariance estimation via predictive Wishart process with an application on brain connectivity estimation. Comput. Stat. Data Anal. 185 (2023)
Jinhyeok Jang, Woo-han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim, Jaeyeon Lee, ByungOk Han
Learning to Boost Training by Periodic Nowcasting Near Future Weights. ICML (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. ISBI (2023)
Hyuna Cho, Guorong Wu, Won Hwa Kim
Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis. MICCAI (2) (2023)
Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion. NeurIPS (2023)
Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. MICCAI (3) (2023)
Joonhyuk Park, Yechan Hwang, Minjeong Kim, Moo K. Chung, Guorong Wu, Won Hwa Kim
Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis. MICCAI (5) (2023)
Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation. CVPR (2023)
Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. MICCAI (3) (2023)
Tuan Q. Dinh, Yunyang Xiong, Zhichun Huang, Tien Vo, Akshay Mishra, Won Hwa Kim, Sathya N. Ravi, Vikas Singh
Performing Group Difference Testing on Graph Structured Data From GANs: Analysis and Applications in Neuroimaging. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Gangin Park, Chunsan Hong, Bohyung Kim, Won Hwa Kim
What Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation? UNSURE@MICCAI (2022)
Fan Yang, Guorong Wu, Won Hwa Kim
Disentangled Representation of Longitudinal Β-Amyloid for AD Via Sequential Graph Variational Autoencoder with Supervision. ISBI (2022)
Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu
Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. MICCAI (8) (2022)
Injun Choi, Guorong Wu, Won Hwa Kim
How Much to Aggregate: Learning Adaptive Node-Wise Scales on Graphs for Brain Networks. MICCAI (1) (2022)
Xin Ma, Won Hwa Kim
Locally Normalized Soft Contrastive Clustering for Compact Clusters. IJCAI (2022)
Mukhammed Garifulla, Juncheol Shin, Chanho Kim, Won Hwa Kim, Hye Jung Kim, Jaeil Kim, Seokin Hong
A Case Study of Quantizing Convolutional Neural Networks for Fast Disease Diagnosis on Portable Medical Devices. Sensors 22 (1) (2022)
Ho Kyung Shin, Won Hwa Kim, Hye Jung Kim, Chanho Kim, Jaeil Kim
Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Multi-scale Patch Learning with Mammography. PRIME@MICCAI (2021)
Hyuna Cho, Gunwoong Park, Amal Isaiah, Won Hwa Kim
Covariate Correcting Networks for Identifying Associations Between Socioeconomic Factors and Brain Outcomes in Children. MICCAI (7) (2021)
Xin Ma, Guorong Wu, Seong Jae Hwang, Won Hwa Kim
Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders. IPMI (2021)
Fan Yang, Rui Meng, Hyuna Cho, Guorong Wu, Won Hwa Kim
Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study. MICCAI (2) (2021)
Xin Ma, Won Hwa Kim
Very Compact Clusters with Structural Regularization via Similarity and Connectivity. CoRR (2021)
Chanho Kim, Won Hwa Kim, Hye Jung Kim, Jaeil Kim
A Multi-scale Capsule Network for Improving Diagnostic Generalizability in Breast Cancer Diagnosis Using Ultrasonography. PRIME@MICCAI (2021)
Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CoRR (2020)
Xin Ma, Guorong Wu, Won Hwa Kim
Enriching Statistical Inferences on Brain Connectivity for Alzheimer's Disease Analysis via Latent Space Graph Embedding. ISBI (2020)
Chanho Kim, Won Hwa Kim, Hye Jung Kim, Jaeil Kim
Weakly-supervised US breast tumor characterization and localization with a box convolution network. Medical Imaging: Computer-Aided Diagnosis (2020)
ByungOk Han, Woo-han Yun, Jang-Hee Yoo, Won Hwa Kim
Toward Unbiased Facial Expression Recognition in the Wild via Cross-Dataset Adaptation. IEEE Access 8 (2020)
Fan Yang, Amal Isaiah, Won Hwa Kim
COVLET: Covariance-Based Wavelet-Like Transform for Statistical Analysis of Brain Characteristics in Children. MICCAI (7) (2020)
Gowtham Krishnan Murugesan, Chandan Ganesh Bangalore Yogananda, Sahil S. Nalawade, Elizabeth M. Davenport, Benjamin C. Wagner, Won Hwa Kim, Joseph A. Maldjian
BrainNET: Inference of Brain Network Topology Using Machine Learning. Brain Connect. 10 (8) (2020)
Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging. ICCV (2019)
Xin Ma, Guorong Wu, Won Hwa Kim
Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity. CoRR (2019)
Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease. Brain Connect. 9 (2) (2019)
Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging. CoRR (2018)
Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CVPR (2017)
Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru, Vikas Singh
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP). CVPR (2016)
Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. ECCV (6) (2016)
Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Ozioma C. Okonkwo, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease. NeuroImage 118 (2015)
Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh
On Statistical Analysis of Neuroimages with Imperfect Registration. ICCV (2015)
Won Hwa Kim, Vikas Singh, Moo K. Chung, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson
Multi-resolution statistical analysis on graph structured data in neuroimaging. ISBI (2015)
Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh
Statistical inference models for image datasets with systematic variations. CVPR (2015)
Ameer Pasha Hosseinbor, Won Hwa Kim, Nagesh Adluru, Amit Acharya, Houri K. Vorperian, Moo K. Chung
The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation. MICCAI (3) (2014)
Won Hwa Kim, Vikas Singh, Moo K. Chung, Chris Hinrichs, Deepti Pachauri, Ozioma C. Okonkwo, Sterling C. Johnson
Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness. NeuroImage 93 (2014)
Choye Kim, Changhan Yoon, Jong-Ho Park, Yuhwa Lee, Won Hwa Kim, Jung Min Chang, Byung Ihn Choi, Tai-Kyong Song, Yang-Mo Yoo
Evaluation of Ultrasound Synthetic Aperture Imaging Using Bidirectional Pixel-Based Focusing: Preliminary Phantom and In Vivo Breast Study. IEEE Trans. Biomed. Eng. 60 (10) (2013)
Won Hwa Kim, Moo K. Chung, Vikas Singh
Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems. CVPR (2013)
Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Sylvia Charchut, Johnson J. GadElkarim, Lori L. Altshuler, Teena Moody, Anand R. Kumar, Vikas Singh, Alex D. Leow
Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space. MICCAI (3) (2013)
Won Hwa Kim, Deepti Pachauri, Charles Hatt, Moo K. Chung, Sterling C. Johnson, Vikas Singh
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination. NIPS (2012)
Woo Hyun Kim, Jeong Woo Park, Won Hyong Lee, Won Hwa Kim, Myung Jin Chung
Synchronized multimodal expression generation using editing toolkit for a human-friendly robot. ROBIO (2009)
Won Hwa Kim, Jeong Woo Park, Won Hyong Lee, Woo Hyun Kim, Myung Jin Chung
Stochastic approach on a simplified OCC model for uncertainty and believability. CIRA (2009)
Jeong Woo Park, Woo Hyun Kim, Won Hyong Lee, Won Hwa Kim, Myung Jin Chung
Lifelike facial expression of mascot-type robot based on emotional boundaries. ROBIO (2009)