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Japanese Journal of Radiology|June 20, 2020
Introduction to deep learning: minimum essence required to launch a researchTomohiro Wataya, Katsuyuki Nakanishi, Yuki Suzuki, et al.
Iscience|July 12, 2023
Anatomy-aware self-supervised learning for anomaly detection in chest radiographsJunya Sato, Yuki Suzuki, Tomohiro Wataya, et al.
Radiology. Artificial Intelligence|April 10, 2023
BERT-based Transfer Learning in Sentence-level Anatomic Classification of Free-Text Radiology ReportsDaiki Nishigaki, Yuki Suzuki, Tomohiro Wataya, et al.
Scientific Reports|April 9, 2024
Vision transformer to differentiate between benign and malignant slices in <sup>18</sup>F-FDG PET/CTDaiki Nishigaki, Yuki Suzuki, Tadashi Watabe, et al.
European Radiology|June 25, 2022
Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/massesTomohiro Wataya, Masahiro Yanagawa, Mitsuko Tsubamoto, et al.
Ebiomedicine|November 29, 2024
Annotation-free multi-organ anomaly detection in abdominal CT using free-text radiology reports: a multi-centre retrospective studyJunya Sato, Kento Sugimoto, Yuki Suzuki, et al.
Computers in Biology and Medicine|March 7, 2024
Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaireKosuke Kita, Takahito Fujimori, Yuki Suzuki, et al.
Japanese Journal of Radiology|March 29, 2024
Comparison of natural language processing algorithms in assessing the importance of head computed tomography reports written in JapaneseTomohiro Wataya, Azusa Miura, Takahisa Sakisuka, et al.
International Journal of Computer Assisted Radiology and Surgery|January 8, 2025
Comparison of active learning algorithms in classifying head computed tomography reports using bidirectional encoder representations from transformersTomohiro Wataya, Azusa Miura, Takahisa Sakisuka, et al.
Journal of Orthopaedic Science : Official Journal of the Japanese Orthopaedic Association|September 26, 2022
Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative recordsKosuke Kita, Keisuke Uemura, Masaki Takao, et al.
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