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Daiju Ueda

Showing results (61-70 of 97) with videos related to

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Journal of Vascular and Interventional Radiology : JVIR|March 21, 2022
Maskless 2-Dimensional Digital Subtraction Angiography Generation Model for Abdominal Vasculature using Deep LearningHiroki Yonezawa, Daiju Ueda, Akira Yamamoto, et al.
Atherosclerosis|June 14, 2021
Automated classification of coronary atherosclerotic plaque in optical frequency domain imaging based on deep learningHiroki Shibutani, Kenichi Fujii, Daiju Ueda, et al.
The American Journal of Cardiology|May 23, 2024
Development and Validation of Artificial Intelligence-Based Algorithms for Predicting the Segments Debulked by Rotational Atherectomy Using Intravascular Ultrasound ImagesKenta Hashimoto, Kenichi Fujii, Daiju Ueda, et al.
Scientific Reports|February 5, 2024
Deep learning-based diffusion tensor image generation model: a proof-of-concept studyHiroyuki Tatekawa, Daiju Ueda, Hirotaka Takita, et al.
Japanese Journal of Radiology|July 20, 2024
Diagnostic accuracy of vision-language models on Japanese diagnostic radiology, nuclear medicine, and interventional radiology specialty board examinationsTatsushi Oura, Hiroyuki Tatekawa, Daisuke Horiuchi, et al.
Japanese Journal of Radiology|January 24, 2026
Deep learning reconstruction enhances 1.5T MR angiography beyond 3T in vascular visualization for Moyamoya diseaseAyako Omori, Hiroyuki Tatekawa, Tatsushi Oura, et al.
The Lancet. Digital Health|July 9, 2024
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in JapanDaiju Ueda, Toshimasa Matsumoto, Akira Yamamoto, et al.
Cancers|April 13, 2023
Deep Learning Model Based on Contrast-Enhanced Computed Tomography Imaging to Predict Postoperative Early Recurrence after the Curative Resection of a Solitary Hepatocellular CarcinomaMasahiko Kinoshita, Daiju Ueda, Toshimasa Matsumoto, et al.
Radiology|March 31, 2021
Deep Learning-based Angiogram Generation Model for Cerebral Angiography without Misregistration ArtifactsDaiju Ueda, Yutaka Katayama, Akira Yamamoto, et al.
Japanese Journal of Radiology|November 15, 2024
Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospectsShohei Fujita, Yasutaka Fushimi, Rintaro Ito, et al.
Pageof 10

Showing results (61-70 of 97) with videos related to

Sort By:
Pageof 10
Journal of Vascular and Interventional Radiology : JVIR|March 21, 2022
Maskless 2-Dimensional Digital Subtraction Angiography Generation Model for Abdominal Vasculature using Deep LearningHiroki Yonezawa, Daiju Ueda, Akira Yamamoto, et al.
Atherosclerosis|June 14, 2021
Automated classification of coronary atherosclerotic plaque in optical frequency domain imaging based on deep learningHiroki Shibutani, Kenichi Fujii, Daiju Ueda, et al.
The American Journal of Cardiology|May 23, 2024
Development and Validation of Artificial Intelligence-Based Algorithms for Predicting the Segments Debulked by Rotational Atherectomy Using Intravascular Ultrasound ImagesKenta Hashimoto, Kenichi Fujii, Daiju Ueda, et al.
Scientific Reports|February 5, 2024
Deep learning-based diffusion tensor image generation model: a proof-of-concept studyHiroyuki Tatekawa, Daiju Ueda, Hirotaka Takita, et al.
Japanese Journal of Radiology|July 20, 2024
Diagnostic accuracy of vision-language models on Japanese diagnostic radiology, nuclear medicine, and interventional radiology specialty board examinationsTatsushi Oura, Hiroyuki Tatekawa, Daisuke Horiuchi, et al.
Japanese Journal of Radiology|January 24, 2026
Deep learning reconstruction enhances 1.5T MR angiography beyond 3T in vascular visualization for Moyamoya diseaseAyako Omori, Hiroyuki Tatekawa, Tatsushi Oura, et al.
The Lancet. Digital Health|July 9, 2024
A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in JapanDaiju Ueda, Toshimasa Matsumoto, Akira Yamamoto, et al.
Cancers|April 13, 2023
Deep Learning Model Based on Contrast-Enhanced Computed Tomography Imaging to Predict Postoperative Early Recurrence after the Curative Resection of a Solitary Hepatocellular CarcinomaMasahiko Kinoshita, Daiju Ueda, Toshimasa Matsumoto, et al.
Radiology|March 31, 2021
Deep Learning-based Angiogram Generation Model for Cerebral Angiography without Misregistration ArtifactsDaiju Ueda, Yutaka Katayama, Akira Yamamoto, et al.
Japanese Journal of Radiology|November 15, 2024
Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospectsShohei Fujita, Yasutaka Fushimi, Rintaro Ito, et al.
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