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Daiju Ueda

Showing results (71-80 of 97) with videos related to

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Japanese Journal of Radiology|October 2, 2024
Applications of artificial intelligence in interventional oncology: An up-to-date review of the literatureYusuke Matsui, Daiju Ueda, Shohei Fujita, et al.
La Radiologia Medica|August 3, 2024
Recent trends in AI applications for pelvic MRI: a comprehensive reviewTakahiro Tsuboyama, Masahiro Yanagawa, Tomoyuki Fujioka, et al.
Annals of Nuclear Medicine|February 11, 2025
Correction: Generative AI and large language models in nuclear medicine: current status and future prospectsKenji Hirata, Yusuke Matsui, Akira Yamada, et al.
Japanese Journal of Radiology|March 29, 2024
The impact of large language models on radiology: a guide for radiologists on the latest innovations in AITakeshi Nakaura, Rintaro Ito, Daiju Ueda, et al.
Hepatology Research : the Official Journal of the Japan Society of Hepatology|October 11, 2025
Individualized Prognostication Based on Deep-Learning Models Using Computed Tomography as an Imaging Biomarker After Hepatocellular Carcinoma ResectionHiroji Shinkawa, Daiju Ueda, Sota Kurimoto, et al.
La Radiologia Medica|May 10, 2023
Clinical applications of artificial intelligence in liver imagingAkira Yamada, Koji Kamagata, Kenji Hirata, et al.
Diagnostic and Interventional Imaging|July 5, 2023
Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis predictionFuminari Tatsugami, Takeshi Nakaura, Masahiro Yanagawa, et al.
La Radiologia Medica|August 28, 2023
New trend in artificial intelligence-based assistive technology for thoracic imagingMasahiro Yanagawa, Rintaro Ito, Taiki Nozaki, et al.
Annals of Nuclear Medicine|September 25, 2023
From FDG and beyond: the evolving potential of nuclear medicineKenji Hirata, Koji Kamagata, Daiju Ueda, et al.
Annals of Nuclear Medicine|September 25, 2024
Generative AI and large language models in nuclear medicine: current status and future prospectsKenji Hirata, Yusuke Matsui, Akira Yamada, et al.
Pageof 10

Showing results (71-80 of 97) with videos related to

Sort By:
Pageof 10
Japanese Journal of Radiology|October 2, 2024
Applications of artificial intelligence in interventional oncology: An up-to-date review of the literatureYusuke Matsui, Daiju Ueda, Shohei Fujita, et al.
La Radiologia Medica|August 3, 2024
Recent trends in AI applications for pelvic MRI: a comprehensive reviewTakahiro Tsuboyama, Masahiro Yanagawa, Tomoyuki Fujioka, et al.
Annals of Nuclear Medicine|February 11, 2025
Correction: Generative AI and large language models in nuclear medicine: current status and future prospectsKenji Hirata, Yusuke Matsui, Akira Yamada, et al.
Japanese Journal of Radiology|March 29, 2024
The impact of large language models on radiology: a guide for radiologists on the latest innovations in AITakeshi Nakaura, Rintaro Ito, Daiju Ueda, et al.
Hepatology Research : the Official Journal of the Japan Society of Hepatology|October 11, 2025
Individualized Prognostication Based on Deep-Learning Models Using Computed Tomography as an Imaging Biomarker After Hepatocellular Carcinoma ResectionHiroji Shinkawa, Daiju Ueda, Sota Kurimoto, et al.
La Radiologia Medica|May 10, 2023
Clinical applications of artificial intelligence in liver imagingAkira Yamada, Koji Kamagata, Kenji Hirata, et al.
Diagnostic and Interventional Imaging|July 5, 2023
Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis predictionFuminari Tatsugami, Takeshi Nakaura, Masahiro Yanagawa, et al.
La Radiologia Medica|August 28, 2023
New trend in artificial intelligence-based assistive technology for thoracic imagingMasahiro Yanagawa, Rintaro Ito, Taiki Nozaki, et al.
Annals of Nuclear Medicine|September 25, 2023
From FDG and beyond: the evolving potential of nuclear medicineKenji Hirata, Koji Kamagata, Daiju Ueda, et al.
Annals of Nuclear Medicine|September 25, 2024
Generative AI and large language models in nuclear medicine: current status and future prospectsKenji Hirata, Yusuke Matsui, Akira Yamada, et al.
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