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ORCIDWon Hwa Kim
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2020 – today
- 2024
[j13]Inhyuk Park
, Won Hwa Kim, Jongbin Ryu:
Style-KD: Class-imbalanced medical image classification via style knowledge distillation. Biomed. Signal Process. Control. 91: 105928 (2024)- [j12]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: 103210 (2024) - [j11]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): 427-438 (2024) - [c52]Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim:
Learning to Approximate Adaptive Kernel Convolution on Graphs. AAAI 2024: 4882-4890 - [c51]Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim:
Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations. ICLR 2024 - [c50]Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim:
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization. ICML 2024 - [c49]Tingting Dan, Ziquan Wei, Won Hwa Kim, Guorong Wu:
Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold. ICML 2024 - [c48]Seunghun Baek, Jaeyoon Sim, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim:
Modality-Agnostic Style Transfer for Holistic Feature Imputation. ISBI 2024: 1-5 - [c47]Sooyeon Jeon, Yujee Song, Won Hwa Kim:
Gene-to-Image: Decoding Brain Images from Genetics via Latent Diffusion Models. PRIME@MICCAI 2024: 48-60 - [c46]Seunghun Baek, Jaeyoon Sim, Guorong Wu, Won Hwa Kim:
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels. MICCAI (2) 2024: 334-344 - [c45]Yanquan Huang, Tingting Dan, Won Hwa Kim, Guorong Wu:
Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport. MICCAI (2) 2024: 498-508 - [c44]Jaeyoon Sim, Minjae Lee, Guorong Wu, Won Hwa Kim:
Multi-modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification. MICCAI (5) 2024: 511-521 - [c43]Yechan Hwang, Soojin Hwang, Guorong Wu, Won Hwa Kim:
Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis. MICCAI (5) 2024: 532-541 - [c42]Minjae Jeong, Hyuna Cho, Sungyoon Jung, Won Hwa Kim:
Uncertainty-Aware Diffusion-Based Adversarial Attack for Realistic Colonoscopy Image Synthesis. MICCAI (9) 2024: 647-658 - [c41]Hyuna Cho, Injun Choi, Suha Kwak, Won Hwa Kim:
Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation. WACV 2024: 615-624 - [i11]Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim:
Learning to Approximate Adaptive Kernel Convolution on Graphs. CoRR abs/2401.11840 (2024) - [i10]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 abs/2401.14587 (2024) - [i9]Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim:
Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations. CoRR abs/2406.06149 (2024) - [i8]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 abs/2407.10733 (2024) - [i7]Jiaqi Ding, Tingting Dan, Ziquan Wei, Hyuna Cho, Paul J. Laurienti, Won Hwa Kim, Guorong Wu:
Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations. CoRR abs/2409.11377 (2024) - 2023
- [j10]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: 107763 (2023) - [j9]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): 2864 (2023) - [c40]Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho:
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation. CVPR 2023: 18664-18674 - [c39]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: 14730-14757 - [c38]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: 29-40 - [c37]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: 1-5 - [c36]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: 66-76 - [c35]Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu:
TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. MICCAI (3) 2023: 77-86 - [c34]Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. MICCAI (3) 2023: 87-96 - [c33]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: 470-480 - [c32]Hyuna Cho, Yubin Han, Won Hwa Kim:
Anti-adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation. MICCAI (4) 2023: 555-566 - [c31]Hyuna Cho, Guorong Wu, Won Hwa Kim:
Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis. MICCAI (2) 2023: 776-786 - [c30]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: 789-799 - [c29]Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim:
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion. NeurIPS 2023 - [c28]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 - [i6]Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho:
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation. CoRR abs/2304.03495 (2023) - [i5]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 abs/2307.00222 (2023) - 2022
- [j8]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): 877-889 (2022) - [j7]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): 219 (2022) - [c27]Xin Ma, Won Hwa Kim:
Locally Normalized Soft Contrastive Clustering for Compact Clusters. IJCAI 2022: 3313-3320 - [c26]Fan Yang, Guorong Wu, Won Hwa Kim:
Disentangled Representation of Longitudinal Β-Amyloid for AD Via Sequential Graph Variational Autoencoder with Supervision. ISBI 2022: 1-5 - [c25]Gangin Park, Chunsan Hong, Bohyung Kim, Won Hwa Kim:
What Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation? UNSURE@MICCAI 2022: 47-56 - [c24]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: 365-374 - [c23]Injun Choi, Guorong Wu, Won Hwa Kim:
How Much to Aggregate: Learning Adaptive Node-Wise Scales on Graphs for Brain Networks. MICCAI (1) 2022: 376-385 - 2021
- [c22]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: 253-266 - [c21]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: 181-191 - [c20]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: 192-200 - [c19]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: 362-372 - [c18]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: 421-431 - [i4]Xin Ma, Won Hwa Kim:
Very Compact Clusters with Structural Regularization via Similarity and Connectivity. CoRR abs/2106.05430 (2021) - 2020
- [j6]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: 159172-159181 (2020) - [j5]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): 422-435 (2020) - [c17]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: 1685-1689 - [c16]Chanho Kim, Won Hwa Kim, Hye Jung Kim, Jaeil Kim:
Weakly-supervised US breast tumor characterization and localization with a box convolution network. Computer-Aided Diagnosis 2020 - [c15]Fan Yang, Amal Isaiah, Won Hwa Kim:
COVLET: Covariance-Based Wavelet-Like Transform for Statistical Analysis of Brain Characteristics in Children. MICCAI (7) 2020: 83-93 - [i3]Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh:
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CoRR abs/2008.05060 (2020)
2010 – 2019
- 2019
- [j4]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): 162-173 (2019) - [c14]Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim:
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging. ICCV 2019: 10691-10700 - [i2]Xin Ma, Guorong Wu, Won Hwa Kim:
Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity. CoRR abs/1912.01181 (2019) - 2018
- [i1]Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh:
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging. CoRR abs/1811.09897 (2018) - 2017
- [c13]Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh:
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CVPR 2017: 5019-5027 - 2016
- [c12]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: 2443-2451 - [c11]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: 188-205 - 2015
- [j3]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: 103-117 (2015) - [c10]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: 4795-4803 - [c9]Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh:
On Statistical Analysis of Neuroimages with Imperfect Registration. ICCV 2015: 666-674 - [c8]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: 1548-1551 - 2014
- [j2]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: 107-123 (2014) - [c7]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: 65-72 - 2013
- [j1]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): 2716-2724 (2013) - [c6]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: 2139-2146 - [c5]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: 643-651 - 2012
- [c4]Won Hwa Kim, Deepti Pachauri, Charles R. Hatt, Moo K. Chung, Sterling C. Johnson, Vikas Singh:
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination. NIPS 2012: 1250-1258
2000 – 2009
- 2009
- [c3]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: 66-71 - [c2]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: 706-710 - [c1]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: 830-835
Coauthor Index
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last updated on 2024-11-28 21:28 CET by the dblp team
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