Kwangsun Yoo

18 papers A 1B 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Biological validity, test-retest reliability, and behavioral relevance of the single-subject brain volumetric similarity network.
NeuroImage
Minchul Kim, Yae Ji Kim, Marvin M. Chun, Kwangsun Yoo
2026 J jnl
Mitigating Long-Tailed Anomaly Score Distributions with Importance-Weighted Loss.
CoRR
Jungi Lee, Jungkwon Kim, Chi Zhang, Sangmin Kim, Kwangsun Yoo, Seok-Joo Byun
2025 J jnl
Anomaly Detection with Adaptive and Aggressive Rejection for Contaminated Training Data.
CoRR
Jungi Lee, Jungkwon Kim, Chi Zhang, Kwangsun Yoo, Seok-Joo Byun
2025 — conf
Metric-Driven Similarity Indices: Redefining Spectral Distance Comparisons in Hyperspectral Data.
ICAIIC
Jungkwon Kim, Jihoon Jung, Jungi Lee, Kwangsun Yoo, Seok-Joo Byun
2025 B conf
Mitigating Long-Tailed Anomaly Score Distributions with Importance-Weighted Loss.
IJCNN
Jungi Lee, Jungkwon Kim, Chi Zhang, Sangmin Kim, Kwangsun Yoo, Seok-Joo Byun
2025 B conf
Semi-Supervised Hyperspectral Food Anomaly Detection Through Batch-Wise Distribution Alignment.
IEEE Big Data
Chi Zhang, Jungkwon Kim, Jeonghyeon Park, Kwangsun Yoo, Seok-Joo Byun
2025 — conf
Statistical Robustness in Anomaly Detection with Hard Rejection and Adaptive Weighting.
ICDM (Workshops)
Jungi Lee, Jungkwon Kim, Chi Zhang, Kwangsun Yoo, Seok-Joo Byun
2024 A conf
FastSimiFeat: A Fast and Generalized Approach Utilizing
CIKM
Jungi Lee, Hwiwoo Park, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun
2024 J jnl
PA2E: Real-Time Anomaly Detection With Hyperspectral Imaging for Food Safety Inspection.
IEEE Access
Jungi Lee, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun
2022 J jnl
A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome.
NeuroImage
Kwangsun Yoo, Monica D. Rosenberg, Young Hye Kwon, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
2021 J jnl
Functional Connectivity during Encoding Predicts Individual Differences in Long-Term Memory.
J. Cogn. Neurosci.
Qi Lin, Kwangsun Yoo, Xilin Shen, Robert Todd Constable, Marvin M. Chun
2020 J jnl
Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals.
J. Cogn. Neurosci.
Emily W. Avery, Kwangsun Yoo, Monica D. Rosenberg, Abigail S. Greene, Siyuan Gao, Duk L. Na, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
2019 J jnl
Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies.
NeuroImage
Angus Ho Ching Fong, Kwangsun Yoo, Monica D. Rosenberg, Sheng Zhang, Chiang-shan Ray Li, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
2019 J jnl
Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors.
NeuroImage
Kwangsun Yoo, Monica D. Rosenberg, Stephanie Noble, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
2018 J jnl
Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets.
NeuroImage
Kwangsun Yoo, Monica D. Rosenberg, Wei-Ting Hsu, Sheng Zhang, Chiang-shan Ray Li, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
2017 J jnl
Normalization of cortical thickness measurements across different T1 magnetic resonance imaging protocols by novel W-Score standardization.
NeuroImage
Jinyong Chung, Kwangsun Yoo, Peter Lee, Chan Mi Kim, Jee Hoon Roh, Ji Eun Park, Sang Joon Kim, Sang Won Seo, Jeong-Hyeon Shin, Joon-Kyung Seong, Yong Jeong
2012 J jnl
Independent Component Analysis of Localized Resting-State Functional Magnetic Resonance Imaging Reveals Specific Motor Subnetworks.
Brain Connect.
William Seunghyun Sohn, Kwangsun Yoo, Yong Jeong
2011 J jnl
Quantitative analysis of hemodynamic and metabolic changes in subcortical vascular dementia using simultaneous near-infrared spectroscopy and fMRI measurements.
NeuroImage
Sungho Tak, Soo Jin Yoon, Jaeduck Jang, Kwangsun Yoo, Yong Jeong, Jong Chul Ye