Kwanseok Oh

Orcid: 0000-0002-7378-4569

According to our database1, Kwanseok Oh authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging.
CoRR, 2024

2023
Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning.
NeuroImage, June, 2023

Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Domain Generalization for Medical Image Analysis: A Survey.
CoRR, 2023

A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals.
CoRR, 2023

Age-Aware Guidance via Masking-Based Attention in Face Aging.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning.
CoRR, 2022

A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision.
CoRR, 2020

VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation.
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020


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