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研究業績詳細
和田 昭彦（ワダ アキヒコ）
| 研究テーマ | 脳神経の画像診断 機械学習 |
|---|---|
| 研究業績（論文） | Wada, A., Nishizawa, M., Yamamoto, A. et al. Bridging the performance gap: systematic optimization of local LLMs for Japanese medical PHI extraction. Scientific Reports 16, 5910 (2026). doi:10.1038/s41598-026-36904-5. Wada, A., Tanaka, Y., Nishizawa, M. et al. Retrieval-augmented generation elevates local LLM quality in radiology contrast media consultation. npj Digital Medicine 8, 395 (2025). doi:10.1038/s41746-025-01802-z. Wada, A., Akashi, T., Shih, G. et al. Optimizing GPT-4 Turbo Diagnostic Accuracy in Neuroradiology through Prompt Engineering and Confidence Thresholds. Diagnostics 14, 1541 (2024). doi:10.3390/diagnostics14141541. Wada, A., Akatsu, T., Ikenouchi, Y. et al. Synthesizing 4D Magnetic Resonance Angiography From 3D Time-of-Flight Using Deep Learning: A Feasibility Study. Cureus 16, e60803 (2024). doi:10.7759/cureus.60803. Wada, A., Akashi, T., Hagiwara, A. et al. Deep Learning-Driven Transformation: A Novel Approach for Mitigating Batch Effects in Diffusion MRI Beyond Traditional Harmonization. Journal of Magnetic Resonance Imaging 60, 510–522 (2024). doi:10.1002/jmri.29088. Wada, A., Saito, Y., Fujita, S. et al. Automation of a Rule-based Workflow to Estimate Age from Brain MR Imaging of Infants and Children Up to 2 Years Old Using Stacked Deep Learning. Magnetic Resonance in Medical Sciences 22, 57–66 (2023). doi:10.2463/mrms.mp.2021-0068. Wada, A., Tsuruta, K., Irie, R. et al. Differentiating Alzheimer’s Disease from Dementia with Lewy Bodies Using a Deep Learning Technique Based on Structural Brain Connectivity. Magnetic Resonance in Medical Sciences 18, 219–224 (2019). doi:10.2463/mrms.mp.2018-0091. Wada, A., Shizukuishi, T., Kikuta, J. et al. Altered structural connectivity of pain-related brain network in burning mouth syndrome—investigation by graph analysis of probabilistic tractography. Neuroradiology 59, 525–532 (2017). doi:10.1007/s00234-017-1830-2. |
| 研究者 | 教育活動 | researchmap(JST) |