Publications by authors named "Takahiro Nakao"

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Axillary Lymphadenopathy after Pfizer-BioNTech and Moderna COVID-19 Vaccination: MRI Evaluation.
Takeharu Yoshikawa, Soichiro Miki, Takahiro Nakao, Saori Koshino, Naoto Hayashi, Osamu Abe

Radiology· January 2023

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Assessing accuracy and legitimacy of multimodal large language models on Japan Diagnostic Radiology Board Examination.
Yuichiro Hirano, Soichiro Miki, Yosuke Yamagishi, Shouhei Hanaoka, Takahiro Nakao

Jpn J Radiol· September 2025

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Axillary Lymphadenopathy after COVID-19 Vaccination: Follow-up for Enlarged Lymph Nodes on MR Imaging.
Noriko Kanemaru, Takeharu Yoshikawa, Soichiro Miki, Takahiro Nakao, Yuta Nakamura

Magn Reson Med Sci· April 2025

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Using Segment Anything Model 2 for Zero-Shot 3D Segmentation of Abdominal Organs in Computed Tomography Scans to Adapt Video Tracking Capabilities for 3D Medical Imaging: Algorithm Development and Validation.
Yosuke Yamagishi, Shouhei Hanaoka, Tomohiro Kikuchi, Takahiro Nakao, Yuta Nakamura

JMIR AI· April 2025

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Predicting the risk of type 2 diabetes mellitus (T2DM) emergence in 5 years using mammography images: a comparison study between radiomics and deep learning algorithm.
Nishta Letchumanan, Shouhei Hanaoka, Tomomi Takenaga, Yusuke Suzuki, Takahiro Nakao

J Med Imaging (Bellingham)· January 2025

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It is Not Time to Kick Out Radiologists.
Yuta Nakamura, Yuki Sonoda, Yosuke Yamagishi, Tomohiro Kikuchi, Takahiro Nakao

Asian Bioeth Rev· January 2025

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Deep generative abnormal lesion emphasization validated by nine radiologists and 1000 chest X-rays with lung nodules.
Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Issei Sato, Soichiro Miki, Takahiro Nakao

PLoS One· December 2024

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No improvement found with GPT-4o: results of additional experiments in the Japan Diagnostic Radiology Board Examination.
Yuichiro Hirano, Shouhei Hanaoka, Takahiro Nakao, Soichiro Miki, Tomohiro Kikuchi

Jpn J Radiol· November 2024

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Toward Improved Radiologic Diagnostics: Investigating the Utility and Limitations of GPT-3.5 Turbo and GPT-4 with Quiz Cases.
Tomohiro Kikuchi, Takahiro Nakao, Yuta Nakamura, Shouhei Hanaoka, Harushi Mori

AJNR Am J Neuroradiol· October 2024

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Detection of pulmonary nodules in chest radiographs: novel cost function for effective network training with purely synthesized datasets.
Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Takahiro Nakao, Tomomi Takenaga

Int J Comput Assist Radiol Surg· October 2024

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Performance changes due to differences among annotating radiologists for training data in computerized lesion detection.
Yukihiro Nomura, Shouhei Hanaoka, Naoto Hayashi, Takeharu Yoshikawa, Saori Koshino, Takahiro Nakao, Ryusuke Nakaoka

Int J Comput Assist Radiol Surg· August 2024

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GPT-4 Turbo with Vision fails to outperform text-only GPT-4 Turbo in the Japan Diagnostic Radiology Board Examination.
Yuichiro Hirano, Shouhei Hanaoka, Takahiro Nakao, Soichiro Miki, Tomohiro Kikuchi

Jpn J Radiol· August 2024

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Synthesis of Hybrid Data Consisting of Chest Radiographs and Tabular Clinical Records Using Dual Generative Models for COVID-19 Positive Cases.
Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, Tomomi Takenaga, Yukihiro Nomura

J Imaging Inform Med· June 2024

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Impact of CT-determined low kidney volume on renal function decline: a propensity score-matched analysis.
Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, Yukihiro Nomura, Harushi Mori

Insights Imaging· April 2024

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Development and evaluation of an integrated liver nodule diagnostic method by combining the liver segment division and lesion localization/classification models for enhanced focal liver lesion detection.
Tomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Hisaichi Shibata

Radiol Phys Technol· March 2024

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Improved identification of tumors in 18F-FDG-PET examination by normalizing the standard uptake in the liver based on blood test data.
Md Ashraful Alam, Shouhei Hanaoka, Yukihiro Nomura, Tomohiro Kikuchi, Takahiro Nakao

Int J Comput Assist Radiol Surg· March 2024

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Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study.
Takahiro Nakao, Soichiro Miki, Yuta Nakamura, Tomohiro Kikuchi, Yukihiro Nomura

JMIR Med Educ· March 2024

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Relationship between Thyroid CT Density, Volume, and Future TSH Elevation: A 5-Year Follow-Up Study.
Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, Yukihiro Nomura, Takeharu Yoshikawa

Life (Basel)· December 2023

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Multimodal imaging findings of intrahepatic cholangiocarcinoma arising from a biliary adenofibroma: a case report with radiological-pathological correlation.
Noriko Kanemaru, Yudai Nakai, Takeyuki Watadani, Takahiro Nakao, Munetoshi Hinata

Abdom Radiol (NY)· August 2023

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Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging.
Shohei Fujita, Susumu Mori, Kengo Onda, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao

JAMA Netw Open· June 2023

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Automated volume measurement of abdominal adipose tissue from entire abdominal cavity in Dixon MR images using deep learning.
Masato Takahashi, Tomomi Takenaga, Yukihiro Nomura, Shouhei Hanaoka, Naoto Hayashi, Takahiro Nakao

Radiol Phys Technol· March 2023

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Significance of FDG-PET standardized uptake values in predicting thyroid disease.
Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, Yukihiro Nomura, Takeharu Yoshikawa

Eur Thyroid J· February 2023

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On the Simulation of Ultra-Sparse-View and Ultra-Low-Dose Computed Tomography with Maximum a Posteriori Reconstruction Using a Progressive Flow-Based Deep Generative Model.
Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Tomomi Takenaga

Tomography· August 2022

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Anomaly detection in chest F-FDG PET/CT by Bayesian deep learning.
Takahiro Nakao, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe

Jpn J Radiol· July 2022

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Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning.
Yukihiro Nomura, Shouhei Hanaoka, Tomomi Takenaga, Takahiro Nakao, Hisaichi Shibata

Int J Comput Assist Radiol Surg· November 2021

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