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2020 – today
- 2024
[i9]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 abs/2402.08409 (2024)- [i8]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 abs/2406.14308 (2024) - [i7]Yooseung Shin, Kwanseok Oh, Heung-Il Suk:
DyMix: Dynamic Frequency Mixup Scheduler based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Identification. CoRR abs/2410.12827 (2024) - [i6]Junyeong Maeng, Kwanseok Oh, Wonsik Jung, Heung-Il Suk:
IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation. CoRR abs/2410.16945 (2024) - 2023
- [j2]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: 120073 (2023) - [j1]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): 4843-4857 (2023) - [c4]Yooseung Shin, Junyeong Maeng, Kwanseok Oh, Heung-Il Suk:
Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification. ACPR (3) 2023: 123-135 - [c3]Junyeong Maeng, Kwanseok Oh, Heung-Il Suk:
Age-Aware Guidance via Masking-Based Attention in Face Aging. CIKM 2023: 4165-4169 - [i5]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 abs/2310.03457 (2023) - [i4]Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk:
Domain Generalization for Medical Image Analysis: A Survey. CoRR abs/2310.08598 (2023) - 2022
- [c2]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: 330-339 - [i3]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 abs/2207.13223 (2022) - 2021
- [i2]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 abs/2108.09451 (2021) - 2020
- [c1]Wonjun Ko, Kwanseok Oh, Eunjin Jeon, Heung-Il Suk:
VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation. BCI 2020: 1-3 - [i1]Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk:
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision. CoRR abs/2011.10381 (2020)
Coauthor Index
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