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2020 – today
- 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) - [c26]Xin Ma, Won Hwa Kim:
Locally Normalized Soft Contrastive Clustering for Compact Clusters. IJCAI 2022: 3313-3320 - [c25]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 - [c24]Gangin Park, Chunsan Hong, Bohyung Kim, Won Hwa Kim:
What Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation? UNSURE@MICCAI 2022: 47-56 - [c23]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 - [c22]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
- [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]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) - [c16]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 - [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 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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