Won Hwa Kim - RankMe

98 papers A* 18A 1Journal 34Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SymptoMatch: Improving Clinical Symptom Recognition via Bidirectional Learning From Layman Expression. IEEE Access Changho Kim, Jeongrok Seo, Chanho Kim, Won Hwa Kim, Seong Jung Kim, Eunsil Ko, Jaeil Kim
2025	—	`conf`	Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer's Disease Conversion Prediction. MICCAI (7) Hyuna Cho, Hayoung Ahn, Guorong Wu, Won Hwa Kim
2025	J	`jnl`	Automated Structured Radiology Report Generation with Rich Clinical Context. CoRR Seongjae Kang, Dong Bok Lee, Juho Jung, Dongseop Kim, Won Hwa Kim, Sunghoon Joo
2025	A*	`conf`	Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies. ICLR Hyuna Cho, Ziquan Wei, Seungjoo Lee, Tingting Dan, Guorong Wu, Won Hwa Kim
2025	—	`conf`	Conditional Graph Diffusion with Topological Constraints for Brain Network Generation. MICCAI (12) Joonhyuk Park, Donghyun Lee, Guorong Wu, Won Hwa Kim
2025	—	`conf`	DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer's Disease Precision Medicine. MICCAI (15) Wooseok Jung, Joonhyuk Park, Won Hwa Kim
2025	A*	`conf`	HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining. ICLR Minjae Jeong, Yechan Hwang, Jaejin Lee, Sungyoon Jung, Won Hwa Kim
2025	—	`conf`	Improved Tumor Segmentation Using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI. MICCAI (11) Miguel Luna, John Baek, Won Hwa Kim, Wan Gyu Son, Kwang Min Lee, Hye Jung Kim, Jaeil Kim
2025	A*	`conf`	Improving Sound Source Localization with Joint Slot Attention on Image and Audio. CVPR Inho Kim, Youngkil Song, Jicheol Park, Won Hwa Kim, Suha Kwak
2025	J	`jnl`	Improving Sound Source Localization with Joint Slot Attention on Image and Audio. CoRR Inho Kim, Youngkil Song, Jicheol Park, Won Hwa Kim, Suha Kwak
2025	J	`jnl`	Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation? CoRR Ayush Roy, Samin Enam, Jun Xia, Vishnu Suresh Lokhande, Won Hwa Kim
2025	J	`jnl`	Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification. CoRR Seunghun Baek, Injun Choi, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim
2025	J	`jnl`	MNM : Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations. CoRR Seunghun Baek, Jaejin Lee, Jaeyoon Sim, Minjae Jeong, Won Hwa Kim
2025	—	`conf`	MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations. MICCAI (1) Seunghun Baek, Jaejin Lee, Jaeyoon Sim, Minjae Jeong, Won Hwa Kim
2025	—	`conf`	MindLink: Subject-Agnostic Cross-Subject Brain Decoding Framework. MICCAI (12) Sungyoon Jung, Donghyun Lee, Won Hwa Kim
2025	J	`jnl`	Modality-Agnostic Style Transfer for Holistic Feature Imputation. CoRR Seunghun Baek, Jaeyoon Sim, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim
2025	J	`jnl`	OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels. CoRR Seunghun Baek, Jaeyoon Sim, Guorong Wu, Won Hwa Kim
2025	—	`conf`	REMix: Refinement-Enhanced Visual-Textual Mixing for Lesion Segmentation. ELAMI@MICCAI Soojin Hwang, Jaeyoon Sim, Won Hwa Kim
2025	—	`conf`	Spectral Graph Autoregressive Modeling for Conditional Brain Network Augmentation. GRAIL/RIME@MICCAI Hayoung Ahn, Seungjoo Lee, Jaeyoon Sim, Yechan Hwang, Hyuna Cho, Guorong Wu, Won Hwa Kim
2025	J	`jnl`	Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images. CoRR George R. Nahass, Zhu Wang, Homa Rashidisabet, Won Hwa Kim, Sasha Hubschman, Jeffrey C. Peterson, Ghasem Yazdanpanah, Chad A. Purnell, Pete Setabutr, Ann Q. Tran, Darvin Yi, Sathya N. Ravi
2025	J	`jnl`	Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images. Trans. Mach. Learn. Res. George R. Nahass, Zhu Wang, Homa Rashidisabet, Won Hwa Kim, Sasha Hubschman, Jeffrey C. Peterson, Pete Setabutr, Chad A. Purnell, Ann Q. Tran, Darvin Yi, Sathya N. Ravi
2024	J	`jnl`	CNA-TTA: Clean and Noisy Region Aware Feature Learning within Clusters for Online-Offline Test-Time Adaptation. CoRR Hyeonwoo Cho, Chanmin Park, Jinyoung Kim, Won Hwa Kim
2024	—	`conf`	CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation. ACCV (8) Hyeonwoo Cho, Chanmin Park, Dong-Hee Kim, Jinyoung Kim, Won Hwa Kim
2024	A*	`conf`	Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations. ICLR Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim
2024	J	`jnl`	Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations. CoRR Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim
2024	J	`jnl`	Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics. IEEE Trans. Medical Imaging Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
2024	A*	`conf`	Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold. ICML Tingting Dan, Ziquan Wei, Won Hwa Kim, Guorong Wu
2024	—	`conf`	Gene-to-Image: Decoding Brain Images from Genetics via Latent Diffusion Models. PRIME@MICCAI Sooyeon Jeon, Yujee Song, Won Hwa Kim
2024	A	`conf`	Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation. WACV Hyuna Cho, Injun Choi, Suha Kwak, Won Hwa Kim
2024	J	`jnl`	Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture. CoRR Dong-Hee Kim, Sungduk Cho, Hyeonwoo Cho, Chanmin Park, Jinyoung Kim, Won Hwa Kim
2024	A*	`conf`	Learning to Approximate Adaptive Kernel Convolution on Graphs. AAAI Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim
2024	J	`jnl`	Learning to Approximate Adaptive Kernel Convolution on Graphs. CoRR Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim
2024	J	`jnl`	Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations. CoRR Jiaqi Ding, Tingting Dan, Ziquan Wei, Hyuna Cho, Paul J. Laurienti, Won Hwa Kim, Guorong Wu
2024	—	`conf`	Modality-Agnostic Style Transfer for Holistic Feature Imputation. ISBI Seunghun Baek, Jaeyoon Sim, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim
2024	—	`conf`	Multi-modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification. MICCAI (5) Jaeyoon Sim, Minjae Lee, Guorong Wu, Won Hwa Kim
2024	—	`conf`	Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis. MICCAI (5) Yechan Hwang, Soojin Hwang, Guorong Wu, Won Hwa Kim
2024	A*	`conf`	Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization. ICML Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim
2024	—	`conf`	OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels. MICCAI (2) Seunghun Baek, Jaeyoon Sim, Guorong Wu, Won Hwa Kim
2024	J	`jnl`	Style-KD: Class-imbalanced medical image classification via style knowledge distillation. Biomed. Signal Process. Control. Inhyuk Park, Won Hwa Kim, Jongbin Ryu
2024	J	`jnl`	TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations. Medical Image Anal. Tingting Dan, Mustafa Dere, Won Hwa Kim, Minjeong Kim, Guorong Wu
2024	—	`conf`	Uncertainty-Aware Diffusion-Based Adversarial Attack for Realistic Colonoscopy Image Synthesis. MICCAI (9) Minjae Jeong, Hyuna Cho, Sungyoon Jung, Won Hwa Kim
2024	—	`conf`	Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport. MICCAI (2) Yanquan Huang, Tingting Dan, Won Hwa Kim, Guorong Wu
2023	J	`jnl`	A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography. Sensors Changhee Yun, Bomi Eom, Sungjun Park, Chanho Kim, Dohwan Kim, Farah Jabeen, Won Hwa Kim, Hye Jung Kim, Jaeil Kim
2023	—	`conf`	Anti-adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation. MICCAI (4) Hyuna Cho, Yubin Han, Won Hwa Kim
2023	—	`conf`	Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis. MICCAI (5) Joonhyuk Park, Yechan Hwang, Minjeong Kim, Moo K. Chung, Guorong Wu, Won Hwa Kim
2023	A*	`conf`	Devil's on the Edges: Selective Quad Attention for Scene Graph Generation. CVPR Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho
2023	J	`jnl`	Devil's on the Edges: Selective Quad Attention for Scene Graph Generation. CoRR Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho
2023	J	`jnl`	Dynamic covariance estimation via predictive Wishart process with an application on brain connectivity estimation. Comput. Stat. Data Anal. Rui Meng, Fan Yang, Won Hwa Kim
2023	—	`conf`	Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation. MICCAI (3) Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
2023	—	`conf`	HoloBrain: A Harmonic Holography for Self-organized Brain Function. IPMI Huan Liu, Tingting Dan, Zhuobin Huang, Defu Yang, Won Hwa Kim, Minjeong Kim, Paul J. Laurienti, Guorong Wu
2023	—	`conf`	Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification. ISBI Seunghun Baek, Injun Choi, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim
2023	A*	`conf`	Learning to Boost Training by Periodic Nowcasting Near Future Weights. ICML Jinhyeok Jang, Woo-han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim, Jaeyeon Lee, ByungOk Han
2023	—	`conf`	Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis. MICCAI (2) Hyuna Cho, Guorong Wu, Won Hwa Kim
2023	A*	`conf`	Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion. NeurIPS Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim
2023	—	`conf`	RESToring Clarity: Unpaired Retina Image Enhancement Using Scattering Transform. MICCAI (10) Ellen Jieun Oh, Yechan Hwang, Yubin Han, Taegeun Choi, Geunyoung Lee, Won Hwa Kim
2023	A*	`conf`	Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. NeurIPS Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
2023	J	`jnl`	Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. CoRR Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
2023	—	`conf`	TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. MICCAI (3) Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
2023	—	`conf`	Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. MICCAI (3) Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
2022	J	`jnl`	A Case Study of Quantizing Convolutional Neural Networks for Fast Disease Diagnosis on Portable Medical Devices. Sensors Mukhammed Garifulla, Juncheol Shin, Chanho Kim, Won Hwa Kim, Hye Jung Kim, Jaeil Kim, Seokin Hong
2022	—	`conf`	Disentangled Representation of Longitudinal Β-Amyloid for AD Via Sequential Graph Variational Autoencoder with Supervision. ISBI Fan Yang, Guorong Wu, Won Hwa Kim
2022	—	`conf`	How Much to Aggregate: Learning Adaptive Node-Wise Scales on Graphs for Brain Networks. MICCAI (1) Injun Choi, Guorong Wu, Won Hwa Kim
2022	A*	`conf`	Locally Normalized Soft Contrastive Clustering for Compact Clusters. IJCAI Xin Ma, Won Hwa Kim
2022	—	`conf`	Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. MICCAI (8) Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu
2022	J	`jnl`	Performing Group Difference Testing on Graph Structured Data From GANs: Analysis and Applications in Neuroimaging. IEEE Trans. Pattern Anal. Mach. Intell. Tuan Q. Dinh, Yunyang Xiong, Zhichun Huang, Tien Vo, Akshay Mishra, Won Hwa Kim, Sathya N. Ravi, Vikas Singh
2022	—	`conf`	What Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation? UNSURE@MICCAI Gangin Park, Chunsan Hong, Bohyung Kim, Won Hwa Kim
2021	—	`conf`	A Multi-scale Capsule Network for Improving Diagnostic Generalizability in Breast Cancer Diagnosis Using Ultrasonography. PRIME@MICCAI Chanho Kim, Won Hwa Kim, Hye Jung Kim, Jaeil Kim
2021	—	`conf`	Covariate Correcting Networks for Identifying Associations Between Socioeconomic Factors and Brain Outcomes in Children. MICCAI (7) Hyuna Cho, Gunwoong Park, Amal Isaiah, Won Hwa Kim
2021	—	`conf`	Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study. MICCAI (2) Fan Yang, Rui Meng, Hyuna Cho, Guorong Wu, Won Hwa Kim
2021	—	`conf`	Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders. IPMI Xin Ma, Guorong Wu, Seong Jae Hwang, Won Hwa Kim
2021	—	`conf`	Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Multi-scale Patch Learning with Mammography. PRIME@MICCAI Ho Kyung Shin, Won Hwa Kim, Hye Jung Kim, Chanho Kim, Jaeil Kim
2021	J	`jnl`	Very Compact Clusters with Structural Regularization via Similarity and Connectivity. CoRR Xin Ma, Won Hwa Kim
2020	J	`jnl`	BrainNET: Inference of Brain Network Topology Using Machine Learning. Brain Connect. Gowtham Krishnan Murugesan, Chandan Ganesh Bangalore Yogananda, Sahil S. Nalawade, Elizabeth M. Davenport, Benjamin C. Wagner, Won Hwa Kim, Joseph A. Maldjian
2020	—	`conf`	COVLET: Covariance-Based Wavelet-Like Transform for Statistical Analysis of Brain Characteristics in Children. MICCAI (7) Fan Yang, Amal Isaiah, Won Hwa Kim
2020	—	`conf`	Enriching Statistical Inferences on Brain Connectivity for Alzheimer's Disease Analysis via Latent Space Graph Embedding. ISBI Xin Ma, Guorong Wu, Won Hwa Kim
2020	J	`jnl`	Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CoRR Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
2020	J	`jnl`	Toward Unbiased Facial Expression Recognition in the Wild via Cross-Dataset Adaptation. IEEE Access ByungOk Han, Woo-han Yun, Jang-Hee Yoo, Won Hwa Kim
2020	—	`conf`	Weakly-supervised US breast tumor characterization and localization with a box convolution network. Computer-Aided Diagnosis Chanho Kim, Won Hwa Kim, Hye Jung Kim, Jaeil Kim
2019	J	`jnl`	Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease. Brain Connect. Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
2019	A*	`conf`	Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging. ICCV Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim
2019	J	`jnl`	Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity. CoRR Xin Ma, Guorong Wu, Won Hwa Kim
2018	J	`jnl`	Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging. CoRR Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh
2017	A*	`conf`	Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CVPR Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
2016	—	`conf`	Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. ECCV (6) Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
2016	A*	`conf`	Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP). CVPR Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru, Vikas Singh
2015	J	`jnl`	Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease. NeuroImage Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Ozioma C. Okonkwo, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
2015	—	`conf`	Multi-resolution statistical analysis on graph structured data in neuroimaging. ISBI Won Hwa Kim, Vikas Singh, Moo K. Chung, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson
2015	A*	`conf`	On Statistical Analysis of Neuroimages with Imperfect Registration. ICCV Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh
2015	A*	`conf`	Statistical inference models for image datasets with systematic variations. CVPR Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh
2014	J	`jnl`	Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness. NeuroImage Won Hwa Kim, Vikas Singh, Moo K. Chung, Chris Hinrichs, Deepti Pachauri, Ozioma C. Okonkwo, Sterling C. Johnson
2014	—	`conf`	The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation. MICCAI (3) Ameer Pasha Hosseinbor, Won Hwa Kim, Nagesh Adluru, Amit Acharya, Houri K. Vorperian, Moo K. Chung
2013	J	`jnl`	Evaluation of Ultrasound Synthetic Aperture Imaging Using Bidirectional Pixel-Based Focusing: Preliminary Phantom and In Vivo Breast Study. IEEE Trans. Biomed. Eng. Choye Kim, Changhan Yoon, Jong-Ho Park, Yuhwa Lee, Won Hwa Kim, Jung Min Chang, Byung Ihn Choi, Tai-Kyong Song, Yang-Mo Yoo
2013	A*	`conf`	Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems. CVPR Won Hwa Kim, Moo K. Chung, Vikas Singh
2013	—	`conf`	Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space. MICCAI (3) 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
2012	—	`conf`	Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination. NIPS Won Hwa Kim, Deepti Pachauri, Charles R. Hatt, Moo K. Chung, Sterling C. Johnson, Vikas Singh
2009	—	`conf`	Lifelike facial expression of mascot-type robot based on emotional boundaries. ROBIO Jeong Woo Park, Woo Hyun Kim, Won Hyong Lee, Won Hwa Kim, Myung Jin Chung
2009	—	`conf`	Stochastic approach on a simplified OCC model for uncertainty and believability. CIRA Won Hwa Kim, Jeong Woo Park, Won Hyong Lee, Woo Hyun Kim, Myung Jin Chung
2009	—	`conf`	Synchronized multimodal expression generation using editing toolkit for a human-friendly robot. ROBIO Woo Hyun Kim, Jeong Woo Park, Won Hyong Lee, Won Hwa Kim, Myung Jin Chung