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20212026
most citedDeep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset

6 citations · 8 across the 12 of their papers we have counts for

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cs.LG2026

Geographically Regularized AUC-Maximizing Personalized Federated Learning

Mayu Hiraishi, Kensuke Tanioka, Toshio Shimokawa

Accurate diagnostic and risk-prediction models are important for supporting clinical decision-making during infectious disease outbreaks. However, privacy and governance requiremen…

cs.LG2026

Federated Rule Ensemble Method in Medical Data

Ke Wan, Kensuke Tanioka, Toshio Shimokawa

Machine learning has become integral to medical research and is increasingly applied in clinical settings to support diagnosis and decision-making; however, its effectiveness depen…