Kwanseok Oh

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Convolutional Neural Network

Tissue Segmentation

Medical Image Analysis

Maximum A Posteriori

Top Venues

Publications

Kwanseok Oh, Jieun Lee, Da-Woon Heo, Dinggang Shen, Heung-Il Suk
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging. CoRR (2024)
Kwanseok Oh, Eunjin Jeon, Da-Woon Heo, Yooseung Shin, Heung-Il Suk
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation. CoRR (2024)
Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk
Domain Generalization for Medical Image Analysis: A Survey. CoRR (2023)
Junyeong Maeng, Kwanseok Oh, Heung-Il Suk
Age-Aware Guidance via Masking-Based Attention in Face Aging. CIKM (2023)
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Kun Ho Lee, Heung-Il Suk
Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning. NeuroImage 273 (2023)
Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, Wonsik Jung, Eunsong Kang, Kun Ho Lee, Heung-Il Suk
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals. CoRR (2023)
Yooseung Shin, Junyeong Maeng, Kwanseok Oh, Heung-Il Suk
Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification. ACPR (3) (2023)
Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning. CoRR (2022)
Jieun Lee, Kwanseok Oh, Dinggang Shen, Heung-Il Suk
A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation. MICCAI (5) (2022)
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model. CoRR (2021)
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision. CoRR (2020)
Wonjun Ko, Kwanseok Oh, Eunjin Jeon, Heung-Il Suk
VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation. BCI (2020)