Publications by authors named "Daiju Ueda"

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Unchanged Early Diffusion Tensor Imaging Along Perivascular Space Index After Amyloid-Targeting Disease-Modifying Therapy in Alzheimer's Disease: A Preliminary Study.
Tatsushi Oura, Hiroyuki Tatekawa, Akitoshi Takeda, Ayako Omori, Natsuko Atsukawa, Daiju Ueda

J Magn Reson Imaging· December 2025

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Recent Advances in Musculoskeletal Radiology: Bridging Innovation and Clinical Application.
Satoru Ide, Takatoshi Aoki, Ryo Kurokawa, Masahiro Yanagawa, Tsukasa Saida, Daiju Ueda

Magn Reson Med Sci· December 2025

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Illuminating radiogenomic signatures in pediatric-type diffuse gliomas: insights into molecular, clinical, and imaging correlations. Part I: high-grade group.
Ryo Kurokawa, Akifumi Hagiwara, Daiju Ueda, Rintaro Ito, Tsukasa Saida

Radiol Med· November 2025

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Breast cancer imaging without gadolinium-based contrast agent: A review of current applications and future trends.
Maya Honda, Mami Iima, Masako Kataoka, Daiju Ueda, Tsukasa Saida

Diagn Interv Imaging· November 2025

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Artificial superintelligence alignment in healthcare.
Daiju Ueda, Shannon L Walston, Ryo Kurokawa, Tsukasa Saida, Maya Honda

Jpn J Radiol· November 2025

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Advances in renal cancer: diagnosis, treatment, and emerging technologies.
Tsukasa Saida, Mami Iima, Rintaro Ito, Daiju Ueda, Kentaro Nishioka

Radiol Med· October 2025

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Reply to the commentary： Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?
Taiki Nozaki, Masahiro Hashimoto, Daiju Ueda, Shinji Naganawa

Radiol Med· October 2025

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Japanese Radiology 2025 Updates.
Mami Iima, Tsukasa Saida, Yoshitake Yamada, Ryo Kurokawa, Daiju Ueda

Can Assoc Radiol J· October 2025

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Individualized Prognostication Based on Deep-Learning Models Using Computed Tomography as an Imaging Biomarker After Hepatocellular Carcinoma Resection.
Hiroji Shinkawa, Daiju Ueda, Sota Kurimoto, Masaki Kaibori, Masaki Ueno

Hepatol Res· October 2025

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Deep learning models for radiography body-part classification and chest radiograph projection/orientation classification: a multi-institutional study.
Yasuhito Mitsuyama, Hirotaka Takita, Shannon L Walston, Ko Watanabe, Shoya Ishimaru, Daiju Ueda

Eur Radiol· October 2025

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Comparative performance of large language models in structuring head CT radiology reports: multi-institutional validation study in Japan.
Hirotaka Takita, Shannon L Walston, Yasuhito Mitsuyama, Ko Watanabe, Shoya Ishimaru, Daiju Ueda

Jpn J Radiol· September 2025

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Illuminating radiogenomic signatures in pediatric-type diffuse gliomas: insights into molecular, clinical, and imaging correlations. Part II: low-grade group.
Ryo Kurokawa, Akifumi Hagiwara, Rintaro Ito, Daiju Ueda, Tsukasa Saida

Radiol Med· September 2025

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Recent advances in theranostics and oncology PET: emerging radionuclides and targets.
Tadashi Watabe, Kenji Hirata, Mami Iima, Masahiro Yanagawa, Tsukasa Saida, Daiju Ueda

Ann Nucl Med· September 2025

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Artificial Intelligence-based Detection of Achalasia on Plain Chest Radiography.
Tadashi Ochiai, Daiju Ueda, Akinari Sawada, Masaki Ominami, Akira Yamamoto

Clin Gastroenterol Hepatol· September 2025

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Deep-learning-based prediction of significant portal hypertension with single cross-sectional non-enhanced CT.
Akira Yamamoto, Shingo Sato, Daiju Ueda, Shannon L Walston, Ken Kageyama

Eur Radiol· September 2025

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Photon-counting detector computed tomography in thoracic oncology: revolutionizing tumor imaging through precision and detail.
Masahiro Yanagawa, Midori Ueno, Rintaro Ito, Daiju Ueda, Tsukasa Saida

Diagn Interv Radiol· September 2025

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Evaluation of radiology residents' reporting skills using large language models: an observational study.
Natsuko Atsukawa, Hiroyuki Tatekawa, Tatsushi Oura, Shu Matsushita, Daisuke Horiuchi, Daiju Ueda

Jpn J Radiol· July 2025

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The glymphatic system in oncology: from the perspective of a radiation oncologist.
Kentaro Nishioka, Mariko Kawamura, Mami Iima, Daiju Ueda, Rintaro Ito

J Radiat Res· July 2025

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Recent trends in scientific research in chest radiology: What to do or not to do? That is the critical question in research.
Hiroto Hatabu, Masahiro Yanagawa, Yoshitake Yamada, Takuya Hino, Yuzo Yamasaki, Daiju Ueda

Jpn J Radiol· June 2025

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Performance of a Chest Radiograph-based Deep Learning Model for Detecting Hepatic Steatosis.
Daiju Ueda, Sawako Uchida-Kobayashi, Akira Yamamoto, Shannon L Walston, Hiroyuki Motoyama

Radiol Cardiothorac Imaging· June 2025

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Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?
Taiki Nozaki, Masahiro Hashimoto, Daiju Ueda, Shohei Fujita, Yasutaka Fushimi

Radiol Med· May 2025

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Unchanged Early Diffusion Tensor Imaging Along Perivascular Space Index After Amyloid-Targeting Disease-Modifying Therapy in Alzheimer's Disease: A Preliminary Study.
Tatsushi Oura, Hiroyuki Tatekawa, Akitoshi Takeda, Ayako Omori, Natsuko Atsukawa, Daiju Ueda

medRxiv· May 2025

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Correction: Generative AI and large language models in nuclear medicine: current status and future prospects.
Kenji Hirata, Yusuke Matsui, Akira Yamada, Tomoyuki Fujioka, Masahiro Yanagawa, Daiju Ueda

Ann Nucl Med· April 2025

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Reply to Letter to the Editor: "Comparative analysis of GPT-4 based ChatGPT's diagnostic performance with radiologists using real-world radiology reports of brain tumors".
Yasuhito Mitsuyama, Hiroyuki Tatekawa, Hirotaka Takita, Shannon L Walston, Yukio Miki, Daiju Ueda

Eur Radiol· March 2025

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A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians.
Hirotaka Takita, Daijiro Kabata, Shannon L Walston, Hiroyuki Tatekawa, Kenichi Saito, Daiju Ueda

NPJ Digit Med· March 2025

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