Won Hwa Kim

According to our database, Won Hwa Kim authored at least 70 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics.

Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu

IEEE Trans. Medical Imaging, January, 2024

TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations.

Tingting Dan, Mustafa Dere, Won Hwa Kim, Minjeong Kim, Guorong Wu

Medical Image Anal., 2024

Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations.

Jiaqi Ding, Tingting Dan, Ziquan Wei, Hyuna Cho, Paul J. Laurienti, Won Hwa Kim, Guorong Wu

CoRR, 2024

Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture.

Dong-Hee Kim, Sungduk Cho, Hyeonwoo Cho, Chanmin Park, Jinyoung Kim, Won Hwa Kim

CoRR, 2024

CNA-TTA: Clean and Noisy Region Aware Feature Learning within Clusters for Online-Offline Test-Time Adaptation.

Hyeonwoo Cho, Chanmin Park, Jinyoung Kim, Won Hwa Kim

CoRR, 2024

Style-KD: Class-imbalanced medical image classification via style knowledge distillation.

Inhyuk Park, Won Hwa Kim, Jongbin Ryu

Biomed. Signal Process. Control., 2024

Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation.

Hyuna Cho, Injun Choi, Suha Kwak, Won Hwa Kim

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Multi-modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification.

Jaeyoon Sim, Minjae Lee, Guorong Wu, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Uncertainty-Aware Diffusion-Based Adversarial Attack for Realistic Colonoscopy Image Synthesis.

Minjae Jeong, Hyuna Cho, Sungyoon Jung, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Gene-to-Image: Decoding Brain Images from Genetics via Latent Diffusion Models.

Sooyeon Jeon, Yujee Song, Won Hwa Kim

Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024

Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis.

Yechan Hwang, Soojin Hwang, Guorong Wu, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport.

Yanquan Huang, Tingting Dan, Won Hwa Kim, Guorong Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels.

Seunghun Baek, Jaeyoon Sim, Guorong Wu, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Modality-Agnostic Style Transfer for Holistic Feature Imputation.

Seunghun Baek, Jaeyoon Sim, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold.

Tingting Dan, Ziquan Wei, Won Hwa Kim, Guorong Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization.

Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations.

Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Approximate Adaptive Kernel Convolution on Graphs.

Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Dynamic covariance estimation via predictive Wishart process with an application on brain connectivity estimation.

Rui Meng, Fan Yang, Won Hwa Kim

Comput. Stat. Data Anal., September, 2023

A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography.

Changhee Yun, Bomi Eom, Sungjun Park, Chanho Kim, Dohwan Kim, Farah Jabeen, Won Hwa Kim, Hye Jung Kim, Jaeil Kim

Sensors, March, 2023

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

Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion.

Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis.

Joonhyuk Park, Yechan Hwang, Minjeong Kim, Moo K. Chung, Guorong Wu, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

RESToring Clarity: Unpaired Retina Image Enhancement Using Scattering Transform.

Ellen Jieun Oh, Yechan Hwang, Yubin Han, Taegeun Choi, Geunyoung Lee, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases.

Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation.

Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation.

Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis.

Hyuna Cho, Guorong Wu, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Anti-adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation.

Hyuna Cho, Yubin Han, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification.

Seunghun Baek, Injun Choi, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

HoloBrain: A Harmonic Holography for Self-organized Brain Function.

Huan Liu, Tingting Dan, Zhuobin Huang, Defu Yang, Won Hwa Kim, Minjeong Kim, Paul J. Laurienti, Guorong Wu

Proceedings of the Information Processing in Medical Imaging, 2023

Learning to Boost Training by Periodic Nowcasting Near Future Weights.

Jinhyeok Jang, Woo-han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim, Jaeyeon Lee, ByungOk Han

Proceedings of the International Conference on Machine Learning, 2023

Devil's on the Edges: Selective Quad Attention for Scene Graph Generation.

Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Case Study of Quantizing Convolutional Neural Networks for Fast Disease Diagnosis on Portable Medical Devices.

Mukhammed Garifulla, Juncheol Shin, Chanho Kim, Won Hwa Kim, Hye Jung Kim, Jaeil Kim, Seokin Hong

Sensors, 2022

Performing Group Difference Testing on Graph Structured Data From GANs: Analysis and Applications in Neuroimaging.

Tuan Q. Dinh, Yunyang Xiong, Zhichun Huang, Tien Vo, Akshay Mishra, Won Hwa Kim, Sathya N. Ravi, Vikas Singh

IEEE Trans. Pattern Anal. Mach. Intell., 2022

What Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation?

Gangin Park, Chunsan Hong, Bohyung Kim, Won Hwa Kim

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition.

Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

How Much to Aggregate: Learning Adaptive Node-Wise Scales on Graphs for Brain Networks.

Injun Choi, Guorong Wu, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Disentangled Representation of Longitudinal Β-Amyloid for AD Via Sequential Graph Variational Autoencoder with Supervision.

Fan Yang, Guorong Wu, Won Hwa Kim

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Locally Normalized Soft Contrastive Clustering for Compact Clusters.

Xin Ma, Won Hwa Kim

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Very Compact Clusters with Structural Regularization via Similarity and Connectivity.

Xin Ma, Won Hwa Kim

CoRR, 2021

Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study.

Fan Yang, Rui Meng, Hyuna Cho, Guorong Wu, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Multi-scale Patch Learning with Mammography.

Ho Kyung Shin, Won Hwa Kim, Hye Jung Kim, Chanho Kim, Jaeil Kim

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

A Multi-scale Capsule Network for Improving Diagnostic Generalizability in Breast Cancer Diagnosis Using Ultrasonography.

Chanho Kim, Won Hwa Kim, Hye Jung Kim, Jaeil Kim

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Covariate Correcting Networks for Identifying Associations Between Socioeconomic Factors and Brain Outcomes in Children.

Hyuna Cho, Gunwoong Park, Amal Isaiah, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders.

Xin Ma, Guorong Wu, Seong Jae Hwang, Won Hwa Kim

Proceedings of the Information Processing in Medical Imaging, 2021

2020

BrainNET: Inference of Brain Network Topology Using Machine Learning.

Gowtham Krishnan Murugesan, Chandan Ganesh Bangalore Yogananda, Sahil S. Nalawade, Elizabeth M. Davenport, Benjamin C. Wagner, Won Hwa Kim, Joseph A. Maldjian

Brain Connect., 2020

Toward Unbiased Facial Expression Recognition in the Wild via Cross-Dataset Adaptation.

ByungOk Han, Woo-han Yun, Jang-Hee Yoo, Won Hwa Kim

IEEE Access, 2020

COVLET: Covariance-Based Wavelet-Like Transform for Statistical Analysis of Brain Characteristics in Children.

Fan Yang, Amal Isaiah, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Weakly-supervised US breast tumor characterization and localization with a box convolution network.

Chanho Kim, Won Hwa Kim, Hye Jung Kim, Jaeil Kim

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Enriching Statistical Inferences on Brain Connectivity for Alzheimer's Disease Analysis via Latent Space Graph Embedding.

Xin Ma, Guorong Wu, Won Hwa Kim

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity.

Xin Ma, Guorong Wu, Won Hwa Kim

CoRR, 2019

Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease.

Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh

Brain Connect., 2019

Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging.

Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2017

Online Graph Completion: Multivariate Signal Recovery in Computer Vision.

Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging.

Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh

Proceedings of the Computer Vision - ECCV 2016, 2016

Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP).

Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru, Vikas Singh

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease.

Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Ozioma C. Okonkwo, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh

NeuroImage, 2015

Multi-resolution statistical analysis on graph structured data in neuroimaging.

Won Hwa Kim, Vikas Singh, Moo K. Chung, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

On Statistical Analysis of Neuroimages with Imperfect Registration.

Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Statistical inference models for image datasets with systematic variations.

Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness.

Won Hwa Kim, Vikas Singh, Moo K. Chung, Chris Hinrichs, Deepti Pachauri, Ozioma C. Okonkwo, Sterling C. Johnson

NeuroImage, 2014

The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation.

Ameer Pasha Hosseinbor, Won Hwa Kim, Nagesh Adluru, Amit Acharya, Houri K. Vorperian, Moo K. Chung

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Evaluation of Ultrasound Synthetic Aperture Imaging Using Bidirectional Pixel-Based Focusing: Preliminary Phantom and In Vivo Breast Study.

Choye Kim, Changhan Yoon, Jong-Ho Park, Yuhwa Lee, Won Hwa Kim, Jung Min Chang, Byung Ihn Choi, Tai-Kyong Song, Yang-Mo Yoo

IEEE Trans. Biomed. Eng., 2013

Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems.

Won Hwa Kim, Moo K. Chung, Vikas Singh

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination.

Won Hwa Kim, Deepti Pachauri, Charles R. Hatt, Moo K. Chung, Sterling C. Johnson, Vikas Singh

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2009

Lifelike facial expression of mascot-type robot based on emotional boundaries.

Jeong Woo Park, Woo Hyun Kim, Won Hyong Lee, Won Hwa Kim, Myung Jin Chung

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

Synchronized multimodal expression generation using editing toolkit for a human-friendly robot.

Woo Hyun Kim, Jeong Woo Park, Won Hyong Lee, Won Hwa Kim, Myung Jin Chung

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

Stochastic approach on a simplified OCC model for uncertainty and believability.

Won Hwa Kim, Jeong Woo Park, Won Hyong Lee, Woo Hyun Kim, Myung Jin Chung

Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009