activity
20202024
most citedXADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning

3 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2024

IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation

Junyeong Maeng, Kwanseok Oh, Wonsik Jung +1

Brain age transformation aims to convert reference brain images into synthesized images that accurately reflect the age-specific features of a target age group. The primary objecti…

cs.AI2023

A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals

Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi +4

Deep learning (DL) for predicting Alzheimer's disease (AD) has provided timely intervention in disease progression yet still demands attentive interpretability to explain how their…

cs.LG2023★ 1 cited

EAG-RS: A Novel Explainability-guided ROI-Selection Framework for ASD Diagnosis via Inter-regional Relation Learning

Wonsik Jung, Eunjin Jeon, Eunsong Kang +1

Deep learning models based on resting-state functional magnetic resonance imaging (rs-fMRI) have been widely used to diagnose brain diseases, particularly autism spectrum disorder…

cs.AI2023★ 1 cited

Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression

Seungwoo Jeong, Wonsik Jung, Junghyo Sohn +1

Alzheimer's disease (AD) is a devastating neurodegenerative condition that precedes progressive and irreversible dementia; thus, predicting its progression over time is vital for c…

cs.LG2022★ 3 cited

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

Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh +2

Diagnosing Alzheimer's disease (AD) involves a deliberate diagnostic process owing to its innate traits of irreversibility with subtle and gradual progression. These characteristic…

cs.CV2021

Fine-Grained Attention for Weakly Supervised Object Localization

Junghyo Sohn, Eunjin Jeon, Wonsik Jung +2

Although recent advances in deep learning accelerated an improvement in a weakly supervised object localization (WSOL) task, there are still challenges to identify the entire body…

cs.CV2020

Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression

Wonsik Jung, Eunji Jun, Heung-Il Suk

Alzheimer's disease (AD) is known as one of the major causes of dementia and is characterized by slow progression over several years, with no treatments or available medicines. In…