Author

Kenji Hirata

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Sep 2026

Feasibility and image quality evaluation of accelerated T2-weighted and time-of-flight MRI using AI-assisted compressed sensing and deep reconstruction.

BACKGROUND Magnetic Resonance Imaging (MRI) provides high-resolution, non-invasive diagnostic images, but long acquisition times increase patient burden and motion artefacts. Compressed sensing helps reduce scan duration, yet further image quality improvements remain necessary. Recent advances in artificial intelligenc...

Ming-Hui Tang, Noriyuki Fujima, Hiroyuki Kameda et al. · Journal of Medical Imaging a... · 0 citations

Open access Sep 2026

Hierarchical multi-label structuring of Japanese SOAP clinical notes with large language models

It is demonstrated that schema-guided hierarchical multi-label frameworks can support the structuring of Japanese clinical notes and serve as a foundation for downstream research and quality-improvement workflows.

Ziheng Zhang, Ming-Hui Tang, Feng Han et al. · Scientific Reports · 0 citations

Jul 2026

External validation of machine learning models predicting global longitudinal strain from conventional echocardiography in patients with cancer.

ML models trained on conventional echocardiographic parameters retained moderate predictive ability for reduced GLS upon external validation, and performance was generally preserved in the external validation cohort.

Tagayasu Anzai, Kenji Hirata, N. Muraoka et al. · The International Journal of... · 0 citations