Takaaki Yoshimura — accepted AI-conference papers

2026

Personalized Longitudinal Medical Report Generation via Temporally-Aware Federated Adaptation

He Zhu, Ren Togo, Takahiro Ogawa, Kenji Hirata, Minghui Tang, Takaaki Yoshimura +5

CVPR 2026

Automatic medical report generation from multimodal longitudinal imaging is crucial for clinical diagnosis but remains challenging due to privacy constraints and evolving disease dynamics. While federated learning (FL) enables decentralized model training without data sharing, its extension to longi

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2025

Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images

Ren Tasai, Guang Li, Ren Togo, Minghui Tang, Takaaki Yoshimura, Hiroyuki Sugimori +4

ICASSP 2025accepted

We propose a novel continual self-supervised learning method (CSSL) considering medical domain knowledge in chest CT images. Our approach addresses the challenge of sequential learning by effectively capturing the relationship between previously learned knowledge and new information at different sta…

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