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Polish Journal of Radiology|November 25, 2021
A fundamental study assessing the generalized fitting method in conjunction with every possible coalition of N-combinations (G-EPOC) using the appendicitis detection task of computed tomographyTomoyuki Noguchi, Yumi Matsushita, Yusuke Kawata, et al.
Japanese Journal of Radiology|April 1, 2018
Correction to: Global and Japanese regional variations in radiologist potential workload for computed tomography and magnetic resonance imaging examinationsKanako K Kumamaru, Akihiro Machitori, Ritsuko Koba, et al.
Japanese Journal of Radiology|February 18, 2018
Global and Japanese regional variations in radiologist potential workload for computed tomography and magnetic resonance imaging examinationsKanako K Kumamaru, Akihiro Machitori, Ritsuko Koba, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|July 30, 2019
A Fundamental Study Assessing the Diagnostic Performance of Deep Learning for a Brain Metastasis Detection TaskTomoyuki Noguchi, Fumiya Uchiyama, Yusuke Kawata, et al.
Japanese Journal of Radiology|August 28, 2020
Correction to: Computed tomography surveillance helps tracking COVID‑19 outbreakAkihiro Machitori, Tomoyuki Noguchi, Yusuke Kawata, et al.
Japanese Journal of Radiology|August 9, 2020
Computed tomography surveillance helps tracking COVID-19 outbreakAkihiro Machitori, Tomoyuki Noguchi, Yusuke Kawata, et al.
Japanese Journal of Radiology|September 21, 2018
Artificial intelligence using neural network architecture for radiology (AINNAR): classification of MR imaging sequencesTomoyuki Noguchi, Daichi Higa, Takashi Asada, et al.
United European Gastroenterology Journal|February 17, 2024
Identifying predictors for comorbidities related mortality versus pancreatic cancer related mortality in patients with intraductal papillary mucinous neoplasmKatsunori Sekine, Naoyoshi Nagata, Yuya Hisada, et al.
Annals of Nuclear Medicine|January 25, 2021
Clinical practice guidelines for high-resolution breast PET, 2019 editionYoko Satoh, Masami Kawamoto, Kazunori Kubota, et al.
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