91 citations · 236 across the 31 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Knowledge-Induced Medicine Prescribing Network for Medication Recommendation
Ahmad Wisnu Mulyadi, Heung-Il Suk
Extensive adoption of electronic health records (EHRs) offers opportunities for their use in various downstream clinical analyses. To accomplish this purpose, enriching an EHR coho…
Domain Generalization for Medical Image Analysis: A Review
Jee Seok Yoon, Kwanseok Oh, Yooseung Shin +2
Medical image analysis (MedIA) has become an essential tool in medicine and healthcare, aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in deep…