Requirements-Based Dynamic Metrics In Object-Oriented Systems. - Jane Cleland-Huang; Carl K. Chang; Hosung Kim; Arun Balakrishnan (RE, 2001)

ECG Acquisition and Management System for Knowledge Discovery in Database: Data Modeling, Design, and Implementation. - Yongho Cho; Hosung Kim; Myoung-ju Jeon; Dongjoo Kang; Hyungsik Choi; Jong-Min Lee; In-Young Kim; Sun I. Kim (ISMDA, 2002)

Surface-Based Vector Analysis Using Heat Equation Interpolation: A New Approach to Quantify Local Hippocampal Volume Changes. - Hosung Kim; Pierre Besson; Olivier Colliot; Andrea Bernasconi; Neda Bernasconi (MICCAI (1), 2008)

A Layout-Level Logic Restructuring Framework for LUT-Based FPGAs. - Hosung Kim; John Lillis (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2008)

Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging. - Emilie Gerardin; Gaël Chételat; Marie Chupin; Rémi Cuingnet; Béatrice Desgranges; Hosung Kim; Marc Niethammer; Bruno Dubois; Stéphane Lehéricy; Line Garnero; Francis Eustache; Olivier Colliot (NeuroImage, 2009)

An Event-Driven Interactive Model of Information Resource Management. - Jianchao Han; Hosung Kim; Mohsen Beheshti; Kazimierz Kowalski (ITNG, 2011)

Vertex-Wise Shape Analysis of the Hippocampus: Disentangling Positional Differences from Volume Changes. - Hosung Kim; Tommaso Mansi; Andrea Bernasconi; Neda Bernasconi (MICCAI (2), 2011)

Robust Surface-Based Multi-template Automated Algorithm to Segment Healthy and Pathological Hippocampi. - Hosung Kim; Tommaso Mansi; Neda Bernasconi; Andrea Bernasconi (MICCAI (3), 2011)

Surface-based multi-template automated hippocampal segmentation: Application to temporal lobe epilepsy. - Hosung Kim; Tommaso Mansi; Neda Bernasconi; Andrea Bernasconi (Medical Image Anal., 2012)

Automatic hippocampal segmentation in temporal lobe epilepsy: Impact of developmental abnormalities. - Hosung Kim; Marie Chupin; Olivier Colliot; Boris C. Bernhardt; Neda Bernasconi; Andrea Bernasconi (NeuroImage, 2012)

Multivariate Hippocampal Subfield Analysis of Local MRI Intensity and Volume: Application to Temporal Lobe Epilepsy. - Hosung Kim; Boris C. Bernhardt; Jessie Kulaga-Yoskovitz; Benoît Caldairou; Andrea Bernasconi; Neda Bernasconi (MICCAI (2), 2014)

NEOCIVET: Extraction of Cortical Surface and Analysis of Neonatal Gyrification Using a Modified CIVET Pipeline. - Hosung Kim; Claude Lepage; Alan C. Evans; A. James Barkovich; Duan Xu (MICCAI (3), 2015)

A Surface Patch-Based Segmentation Method for Hippocampal Subfields. - Benoît Caldairou; Boris C. Bernhardt; Jessie Kulaga-Yoskovitz; Hosung Kim; Neda Bernasconi; Andrea Bernasconi (MICCAI (2), 2016)

The relative Hilbert scheme of projection morphisms. - Hosung Kim (Int. J. Algebra Comput., 2016)

NEOCIVET: Towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns. - Hosung Kim; Claude Lepage; Romir Maheshwary; Seun Jeon; Alan C. Evans; Christopher Paul Hess; A. James Barkovich; Duan Xu (NeuroImage, 2016)

Surface-Wise Texture Patch Analysis of Combined MRI and PET to Detect MRI-Negative Focal Cortical Dysplasia. - Hosung Kim; Yee-Leng Tan; Seunghyun Lee; A. James Barkovich; Duan Xu; Robert Knowlton (MICCAI (1), 2017)

Multi-Template Mesiotemporal Lobe Segmentation: Effects of Surface and Volume Feature Modeling. - Hosung Kim; Benoît Caldairou; Andrea Bernasconi; Neda Bernasconi (Frontiers Neuroinformatics, 2018)

Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias. - Yee-Leng Tan; Hosung Kim; Seunghyun Lee; Tarik Tihan; Lawrence Ver Hoef; Susanne G. Mueller; A. James Barkovich; Duan Xu; Robert Knowlton (NeuroImage, 2018)

A Skeleton and Deformation Based Model for Neonatal Pial Surface Reconstruction in Preterm Newborns. - Mengting Liu; Claude Lepage; Seun Jeon; Trevor Flynn; Shiyu Yuan; Justin Kim; Arthur W. Toga; A. James Barkovich; Duan Xu; Alan C. Evans; Hosung Kim (ISBI, 2019)

Random Forest Regression Combined with MRI Brain Morphometry Predicts Surgical Outcome of Cochlear Implantation. - Zhe Sun; Ji Won Seo; Jee Yeon Lee; Min Young Kwak; Yehree Kim; Je Yeon Lee; Arthur W. Toga; Hong Ju Park; Hosung Kim (ISBI, 2019)

The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data. - Hosung Kim; Andrei Irimia; Sam Hobel; Mher Pogosyan; Haoteng Tang; Petros Petrosyan; Rita Esquivel Castelo Blanco; Ben A. Duffy; Lu Zhao; Karen L. Crawford; Sook-Lei Liew; Kristi Clark; et al. (Frontiers Neuroinformatics, 2019)

Gradient Artifact Correction for Simultaneous EEG- fMRI using Denoising Autoencoders. - Ben A. Duffy; Arthur W. Toga; Hosung Kim (ISBI, 2020)

Deep Learning of Cortical Surface Features Using Graph-Convolution Predicts Neonatal Brain Age and Neurodevelopmental Outcome. - Mengting Liu; Ben A. Duffy; Zhe Sun; Arthur W. Toga; A. James Barkovich; Duan Xu; Hosung Kim (ISBI, 2020)

Imputation Strategy for Reliable Regional MRI Morphological Measurements. - Shaina Sta. Cruz; Ivo D. Dinov; Megan M. Herting; Clio González-Zacarías; Hosung Kim; Arthur W. Toga; Farshid Sepehrband (Neuroinformatics, 2020)

Predicting brain age based on sleep EEG and DenseNet. - Soonhyun Yook; Yizhan Miao; Claire Park; Hea Ree Park; Jinyoung Kim; Diane C. Lim; Eun Yeon Joo; Hosung Kim (EMBC, 2021)

Learning to Synthesize Cortical Morphological Changes using Graph Conditional Variational Autoencoder. - Yaqiong Chai; Mengting Liu; Ben A. Duffy; Hosung Kim (ISBI, 2021)

Style Transfer Using Generative Adversarial Networks for Multi-site MRI Harmonization. - Mengting Liu; Piyush Maiti; Sophia I. Thomopoulos; Alyssa H. Zhu; Yaqiong Chai; Hosung Kim; Neda Jahanshad (MICCAI (3), 2021)

Retrospective motion artifact correction of structural MRI images using deep learning improves the quality of cortical surface reconstructions. - Ben A. Duffy; Lu Zhao; Farshid Sepehrband; Joyce Min; Danny J. J. Wang; Yonggang Shi; Arthur W. Toga; Hosung Kim (NeuroImage, 2021)

White matter hyperintensities segmentation using the ensemble U-Net with multi-scale highlighting foregrounds. - Gilsoon Park; Jinwoo Hong; Ben A. Duffy; Jong-Min Lee; Hosung Kim (NeuroImage, 2021)

Novel neuroelectrophysiological age index associated with imaging features of brain aging and sleep disorders. - Soonhyun Yook; Hea Ree Park; Claire Park; Gilsoon Park; Diane C. Lim; Jinyoung Kim; Eun Yeon Joo; Hosung Kim (NeuroImage, 2022)

SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features. - Zhuoshuo Li; Jiong Zhang; Youbing Zeng; Jiaying Lin; Dan Zhang; Jianjia Zhang; Duan Xu; Hosung Kim; Bingguang Liu; Mengting Liu (CoRR, 2024)

Comparative evaluation of interpretation methods in surface-based age prediction for neonates. - Xiaotong Wu; Chenxin Xie; Fangxiao Cheng; Zhuoshuo Li; Ruizhuo Li; Duan Xu; Hosung Kim; Jianjia Zhang; Hongsheng Liu; Mengting Liu (NeuroImage, 2024)

Obstructive sleep apnea subtyping based on apnea and hypopnea specific hypoxic burden is associated with brain aging and cardiometabolic syndrome. - Soonhyun Yook; Hea Ree Park; Dongjin Seo; Eun Yeon Joo; Hosung Kim (Comput. Biol. Medicine, 2025)

Engineering application of physics-informed neural networks for Saint-Venant torsion. - Su Yeong Jo; Sanghyeon Park; Seungchan Ko; Jongcheon Park; Hosung Kim; Sangseung Lee; Joongoo Jeon (CoRR, 2025)

SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features. - Zhuoshuo Li; Jiong Zhang; Youbing Zeng; Jiaying Lin; Dan Zhang 026; Jianjia Zhang; Duan Xu; Hosung Kim; Bingguang Liu; Mengting Liu (Medical Image Anal., 2026)