Journal Paper

• Koichi Ozaki, Naoki Nohira, Masaki Tahara, Itsuo Kumazawa, Hideki Hosoda. Transfer learning approach with Voronoi-based synthetic data for high-accuracy segmentation of equiaxed grain boundaries, Computational Materials Science, Volume 262, Page 114378, Jan. 2026.  Official location  

Domestic Conference (Reviewed)

• Naoki Nohira, Sosuke Yasuzawa, Tasuku Fujino, Aya Harashima, Masaki Tahara, Itsuo kumazawa, Hideki Hosoda. 物理モデルに基づく合成データによる事前学習を用いた3次元CT像を入力とする磁性形状記憶合金粒子の形態分類, 2026年日本金属学会春期講演大会, 第178回日本金属学会春期大会講演概要, Mar. 2026.

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