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Takeharu Yoshikawa

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#federated learning Open access Sep 2026

Performance changes in automated lesion detection under federated learning with sequential institution addition.

Sequential institution addition under FL may improve CAD software performance when combined with appropriate FT strategies, and FT that updates only a subset of layers may achieve performance changes comparable to those of FFT while requiring substantially fewer trainable parameters across different lesion detection ta...

Y. Nomura, S. Hanaoka, Aiki Yamada et al. · 0 citations
Open access Sep 2026

Long-term brain volume trajectories and lifestyle associations in cognitively normal adults: the BRAIN-STRIDE study

This study demonstrates that structural brain ageing among cognitively normal adults follows highly heterogeneous trajectories, spanning from marked decline to near-complete resistance, and Modifiable lifestyle and vascular risk factors were associated with faster atrophy, supporting opportunities for risk stratificati...

Shohei Fujita, Susumu Mori, Kengo Onda et al. · 0 citations
Jul 2026

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs

The ensemble estimated adult sex, age, height, and weight from CT-derived DRRs, with generally lower errors in examinations with broader anatomical coverage, with generally lower errors in examinations with broader anatomical coverage.

Tomohiro Kikuchi, Kohei Yamamoto, Y. Nomura et al. · 0 citations

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