Takuma Usuzaki, Mami Ishikuro, Masahiro Kikuya, Keiko Murakami, Aoi Noda, Fumihiko Ueno, Hirohito Metoki, Taku Obara, Shinichi Kuriyama. Child-parent associations of hematocrit in trios of Japanese adulthood confirmed by the random family method: The TMM BirThree Cohort Study. Scientific reports. 2024. 14. 1. 19047-19047
Kengo Takahashi, Takuma Usuzaki, Ryusei Inamori. Vision Transformer-based Deep Learning Models Accelerate Further Research for Predicting Neurosurgical Intervention. Radiology. Artificial intelligence. 2024. 6. 4. e240117
Takuma Usuzaki, Ryusei Inamori, Mami Ishikuro, Taku Obara, Eichi Takaya, Noriyasu Homma, Kei Takase. Predicting EGFR Status After Radical Nephrectomy or Partial Nephrectomy for Renal Cell Carcinoma on CT Using a Self-attention-based Model: Variable Vision Transformer (vViT). Journal of imaging informatics in medicine. 2024
Takuma Usuzaki, Ryusei Inamori, Takashi Shizukuishi, Yohei Morishita, Hidenobu Takagi, Mami Ishikuro, Taku Obara, Kei Takase. Predicting isocitrate dehydrogenase status among adult patients with diffuse glioma using patient characteristics, radiomic features, and magnetic resonance imaging: Multi-modal analysis by variable vision transformer. Magnetic resonance imaging. 2024. 111. 266-276
Usuzaki, T., Takahashi, K., Inamori, R., Morishita, Y., Takagi, H., Shizukuishi, T., Toyama, Y., Abe, M., Ishikuro, M., Obara, T., et al. Grading diffuse glioma based on 2021 WHO grade using self-attention-base deep learning architecture: variable Vision Transformer (vViT). Biomedical Signal Processing and Control. 2024. 91
