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Antoine Choppin

Showing results (1-10 of 5) with videos related to

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Scientific Reports|January 15, 2022
Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation methodAkitoshi Shimazaki, Daiju Ueda, Antoine Choppin, et al.
Japanese Journal of Radiology|March 14, 2026
Can AI substitute the first reader in chest radiograph screening? A retrospective non-inferiority evaluationKotaro Yoshida, Atsushi Takamatsu, Rie Tanaka, et al.
Medicine|October 30, 2020
Incidental cerebral aneurysms detected by a computer-assisted detection system based on artificial intelligence: A case seriesYuki Shimada, Tetsuya Tanimoto, Masataka Nishimori, et al.
Radiology|October 24, 2018
Deep Learning for MR Angiography: Automated Detection of Cerebral AneurysmsDaiju Ueda, Akira Yamamoto, Masataka Nishimori, et al.
Scientific Reports|September 27, 2023
Effectiveness of tuning an artificial intelligence algorithm for cerebral aneurysm diagnosis: a study of 10,000 consecutive casesMasashi Kuwabara, Fusao Ikawa, Shigeyuki Sakamoto, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Scientific Reports|January 15, 2022
Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation methodAkitoshi Shimazaki, Daiju Ueda, Antoine Choppin, et al.
Japanese Journal of Radiology|March 14, 2026
Can AI substitute the first reader in chest radiograph screening? A retrospective non-inferiority evaluationKotaro Yoshida, Atsushi Takamatsu, Rie Tanaka, et al.
Medicine|October 30, 2020
Incidental cerebral aneurysms detected by a computer-assisted detection system based on artificial intelligence: A case seriesYuki Shimada, Tetsuya Tanimoto, Masataka Nishimori, et al.
Radiology|October 24, 2018
Deep Learning for MR Angiography: Automated Detection of Cerebral AneurysmsDaiju Ueda, Akira Yamamoto, Masataka Nishimori, et al.
Scientific Reports|September 27, 2023
Effectiveness of tuning an artificial intelligence algorithm for cerebral aneurysm diagnosis: a study of 10,000 consecutive casesMasashi Kuwabara, Fusao Ikawa, Shigeyuki Sakamoto, et al.
Pageof 1