Kazuki Oyama
Academic Assembly School of Medicine and Health Sciences Institute of Medicine
Shinshu University Hospital Clinical Division of Radiology
Assistant Professor
Researcher Information
Research activity information
Paper
- Multi-institutional classification of fibroglandular tissue and background parenchymal enhancement in breast MRI using deep learning
Kai Geissler
J Med Imaging (Bellingham), May 2026, Refereed - Utility of breath-hold half-Fourier single-shot turbo spin-echo with deep learning-based reconstruction for acquiring fat-suppressed T2-weighted images of the pancreas
Tomofumi Nonaka
J Med Imaging (Bellingham), Feb. 2026, Refereed - Improvement of image quality of diffusion-weighted imaging (DWI) with deep learning reconstruction of the pancreas: comparison with respiratory-gated conventional DWI
Kazuki Oyama
Jpn J Radiol, Apr. 2025, Refereed
Lead - Effect of the Relationship between Respiratory Interval and Temporal Resolution on Image Quality in Free-breathing Abdominal MR Imaging
Kazuki Oyama
Magn Reson Med Sci, May 2024, Refereed
Lead - Optimal Temporal Resolution to Achieve Good Image Quality and Perform Pharmacokinetic Analysis in Free-breathing Dynamic Contrast-enhanced MR Imaging of the Pancreas
Kazuki Oyama
Aug. 2022, Refereed
Lead
Lectures, oral presentations, etc.
- Application of deep learning reconstruction to MRCP: evaluation of image quality and acquisition time
Kazuki Oyama
European Congress of Radiology, Mar. 2026Preliminary experience of MRCP with Deep Learning reconstruction: comparison with respiratory-gated conventional MRCP
Kazuki Oyama
第53回日本磁気共鳴医学会大会, Aug. 2025
