Author

Minoru Kuribayashi

2 papers indexed here

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Conference Aug 2026

Interpretable Lesion-Guided Correlation Learning for Mammography Computer-Aided Diagnosis with Swin Transformer

Deep learning-based computer-aided diagnosis (CAD) systems for mammography have achieved remarkable performance in recent years, evolving from convolutional neural networks to transformer-based architectures. However, it remains an open challenge how to effectively incorporate lesion-level clinical information into mod...

Zhang Zhang, Yuwen Zeng, Xiao-Yong Zhang et al. · 2026 International Conferenc... · 0 citations

#artificial intelligence Open access Sep 2026

TP-CRIV: A Framework for Third-Party Challenge-Response Identity Verification of AI Models

TP-CRIV targets a third-party verification setting in which the verifier has neither white-box nor API access to the claimant's model, can interact with the suspicious deployed service only through its ordinary black-box inference interface, and does not require protocol-specific cooperation from the service provider.

Teruki Sano, Minoru Kuribayashi, Masao Sakai et al. · IEEE Access · 0 citations