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20232026
most citedAdversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance

2 citations · 2 across the 10 of their papers we have counts for

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eess.AS2026

Mitigating Stethoscope-Induced Shortcuts in Respiratory Sound Classification under Federated Domain Generalization with Causality-Inspired Interventions

Heejoon Koo, Yoon Tae Kim, Miika Toikkanen +1

AI-driven respiratory sound classification (RSC) is promising for automated pulmonary disease detection, yet multi-site deployment is hindered by inter-stethoscope variability. We…

eess.AS2025

Empowering Multimodal Respiratory Sound Classification with Counterfactual Adversarial Debiasing for Out-of-Distribution Robustness

Heejoon Koo, Miika Toikkanen, Yoon Tae Kim +2

Multimodal respiratory sound classification offers promise for early pulmonary disease detection by integrating bioacoustic signals with patient metadata. Nevertheless, current app…