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
Takuma Usuzaki, Kengo Takahashi, Ryusei Inamori, Yohei Morishita, Takashi Shizukuishi, Hidenobu Takagi, Mami Ishikuro, Taku Obara, Kei Takase. Identifying key factors for predicting O6-Methylguanine-DNA methyltransferase status in adult patients with diffuse glioma: a multimodal analysis of demographics, radiomics, and MRI by variable Vision Transformer. Neuroradiology. 2024
Daiki Shimokawa, Kengo Takahashi, Ken Oba, Eichi Takaya, Takuma Usuzaki, Mizuki Kadowaki, Kurara Kawaguchi, Maki Adachi, Tomofumi Kaneno, Toshinori Fukuda, et al. Deep learning model for predicting the presence of stromal invasion of breast cancer on digital breast tomosynthesis. Radiological physics and technology. 2023. 16. 3. 406-413
Takuma Usuzaki. Editorial Comment: Implementing an End-to-End Deep Learning Model in the Task of Differentiating Pure Ground-Glass Nodules on Chest CT. AJR. American journal of roentgenology. 2023
Takuma Usuzaki, Kengo Takahashi, Hidenobu Takagi, Mami Ishikuro, Taku Obara, Takumi Yamaura, Masahiro Kamimoto, Kazuhiro Majima. Efficacy of exponentiation method with a convolutional neural network for classifying lung nodules on CT images by malignancy level. European radiology. 2023
