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Respirology (Carlton, Vic.)|April 13, 2005
Metabolic activity in skeletal muscles of patients with non-hypoxaemic chronic obstructive pulmonary disease studied by 31P-magnetic resonance spectroscopyTomoko Hamaoka, Koichiro Tatsumi, Yoshiichito Saito, et al.
Esophagus : Official Journal of the Japan Esophageal Society|January 26, 2020
Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinomaYoshitaka Tokai, Toshiyuki Yoshio, Kazuharu Aoyama, et al.
Digestion|June 10, 2024
A Novel Method to Localize Patency Capsule by Ileocolonoscopy Facilitates Endoscopic Assessment of the Small and Large Intestine in Patients with Crohn's DiseaseAkira Sonoda, Kazuhiro Mizukami, Soh Okano, et al.
Gastrointestinal Endoscopy|August 19, 2018
Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networksYoshimasa Horie, Toshiyuki Yoshio, Kazuharu Aoyama, et al.
Gan to Kagaku Ryoho. Cancer & Chemotherapy|March 28, 2019
[Endoscopic Diagnosis Using Artificial Intelligence]Toshiaki Hirasawa, Yohei Ikenoyama, Yoshimasa Horie, et al.
Scientific Reports|April 9, 2021
Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistanceSho Shiroma, Toshiyuki Yoshio, Yusuke Kato, et al.
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