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19 results for Nakao,+Takahiro

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ArticlesPeer ReviewedFull Text
Anomaly detection in chest 18F-FDG PET/CT by Bayesian deep learning
Author / Creator:Nakao, Takahiro ; Hanaoka, Shouhei ; Nomura, Yukihiro ; Hayashi, Naoto ; Abe, Osamu
Publisher:Tokyo: Springer Nature B.V
Journal title:Japanese journal of radiology, 2022-07, Vol.40 (7), p.730-739
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Performance changes due to differences in training data for cerebral aneurysm detection in head MR angiography images
Author / Creator:Nomura Yukihiro ; Hanaoka Shouhei ; Nakao Takahiro ; Hayashi Naoto ; Yoshikawa Takeharu ; Miki Soichiro ; Watadani Takeyuki ; Abe, Osamu
Publisher:Tokyo: Springer Nature B.V
Journal title:Japanese journal of radiology, 2021-11, Vol.39 (11), p.1039-1048
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Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers
Author / Creator:Nakamura, Yuta ; Hanaoka, Shouhei ; Nomura, Yukihiro ; Nakao, Takahiro ; Miki, Soichiro ; Watadani, Takeyuki ; Yoshikawa, Takeharu ; Hayashi, Naoto ; Abe, Osamu
Publisher:London: BioMed Central Ltd
Journal title:BMC medical informatics and decision making, 2021-09, Vol.21 (1), p.1-19, Article 262
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Deep generative abnormal lesion emphasization validated by nine radiologists and 1000 chest X-rays with lung nodules
Author / Creator:Hanaoka, Shouhei ; Nomura, Yukihiro ; Hayashi, Naoto ; Sato, Issei ; Miki, Soichiro ; Yoshikawa, Takeharu ; Shibata, Hisaichi ; Nakao, Takahiro ; Takenaga, Tomomi ; Koyama, Hiroaki ; Cho, Shinichi ; Kanemaru, Noriko ; Fujimoto, Kotaro ; Sakamoto, Naoya ; Nishiyama, Tomoya ; Matsuzaki, Hirotaka ; Yamamichi, Nobutake ; Abe, Osamu
Publisher:United States: Public Library of Science
Journal title:PloS one, 2024-12, Vol.19 (12), p.e0315646
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Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study
Author / Creator:Nakao, Takahiro ; Miki, Soichiro ; Nakamura, Yuta ; Kikuchi, Tomohiro ; Nomura, Yukihiro ; Hanaoka, Shouhei ; Yoshikawa, Takeharu ; Abe, Osamu
Publisher:Canada: JMIR Publications Inc
Journal title:JMIR Medical Education, 2024-03, Vol.10, p.e54393
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Impact of CT-determined low kidney volume on renal function decline: a propensity score-matched analysis
Author / Creator:Kikuchi, Tomohiro ; Hanaoka, Shouhei ; Nakao, Takahiro ; Nomura, Yukihiro ; Mori, Harushi ; Yoshikawa, Takeharu
Publisher:Heidelberg: Springer Nature B.V
Journal title:Insights into imaging, 2024-04, Vol.15 (1), p.102
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Practical Medical Image Generation with Provable Privacy Protection Based on Denoising Diffusion Probabilistic Models for High-Resolution Volumetric Images
Author / Creator:Shibata, Hisaichi ; Hanaoka, Shouhei ; Nakao, Takahiro ; Kikuchi, Tomohiro ; Nakamura, Yuta ; Nomura, Yukihiro ; Yoshikawa, Takeharu ; Abe, Osamu
Publisher:Basel: MDPI AG
Journal title:Applied sciences, 2024-04, Vol.14 (8), p.3489
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Computer-aided detection of cerebral aneurysms with magnetic resonance angiography: usefulness of volume rendering to display lesion candidates
Author / Creator:Miki Soichiro ; Nakao Takahiro ; Nomura Yukihiro ; Okimoto Naomasa ; Nyunoya Keisuke ; Nakamura Yuta ; Kurokawa Ryo ; Amemiya Shiori ; Yoshikawa Takeharu ; Hanaoka Shouhei ; Hayashi Naoto ; Abe, Osamu
Publisher:Tokyo: Springer Nature B.V
Journal title:Japanese journal of radiology, 2021-07, Vol.39 (7), p.652-658
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Relationship between Thyroid CT Density, Volume, and Future TSH Elevation: A 5-Year Follow-Up Study
Author / Creator:Kikuchi, Tomohiro ; Hanaoka, Shouhei ; Nakao, Takahiro ; Nomura, Yukihiro ; Yoshikawa, Takeharu ; Alam, Md Ashraful ; Mori, Harushi ; Hayashi, Naoto
Publisher:Switzerland: MDPI AG
Journal title:Life, 2023-12, Vol.13 (12), p.2303
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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
Author / Creator:Shibata, Hisaichi ; Hanaoka, Shouhei ; Nomura, Yukihiro ; Nakao, Takahiro ; Takenaga, Tomomi ; Hayashi, Naoto ; Abe, Osamu
Publisher:MDPI AG
Journal title:Tomography (Ann Arbor), 2022-08, Vol.8 (5), p.2129-2152
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Unsupervised Deep Anomaly Detection in Chest Radiographs
Author / Creator:Nakao, Takahiro ; Hanaoka, Shouhei ; Nomura, Yukihiro ; Murata, Masaki ; Takenaga, Tomomi ; Miki, Soichiro ; Watadani, Takeyuki ; Yoshikawa, Takeharu ; Hayashi, Naoto ; Abe, Osamu
Publisher:Cham: Springer International Publishing
Journal title:Journal of digital imaging, 2021-04, Vol.34 (2), p.418-427
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Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging
Author / Creator:Fujita, Shohei ; Mori, Susumu ; Onda, Kengo ; Hanaoka, Shouhei ; Nomura, Yukihiro ; Nakao, Takahiro ; Yoshikawa, Takeharu ; Takao, Hidemasa ; Hayashi, Naoto ; Abe, Osamu
Publisher:United States: American Medical Association
Journal title:JAMA network open, 2023-06, Vol.6 (6), p.e2318153
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ArticlesPeer ReviewedFull Text
Synthesis of Hybrid Data Consisting of Chest Radiographs and Tabular Clinical Records Using Dual Generative Models for COVID-19 Positive Cases
Author / Creator:Kikuchi, Tomohiro ; Hanaoka, Shouhei ; Nakao, Takahiro ; Takenaga, Tomomi ; Nomura, Yukihiro ; Mori, Harushi ; Yoshikawa, Takeharu
Publisher:New York: Springer Nature B.V
Journal title:Journal of digital imaging, 2024-06, Vol.37 (3), p.1217-1227
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Multimodal imaging findings of intrahepatic cholangiocarcinoma arising from a biliary adenofibroma: a case report with radiological–pathological correlation
Author / Creator:Kanemaru, Noriko ; Nakai, Yudai ; Watadani, Takeyuki ; Nakao, Takahiro ; Hinata, Munetoshi ; Nakazawa, Akiko ; Akamatsu, Nobuhisa ; Ushiku, Tetsuo ; Hasegawa, Kiyoshi ; Abe, Osamu
Publisher:New York: Springer Nature B.V
Journal title:Abdominal imaging, 2023-08, Vol.48 (8), p.2469-2476
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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
Author / Creator:Letchumanan, Nishta ; Hanaoka, Shouhei ; Takenaga, Tomomi ; Suzuki, Yusuke ; Nakao, Takahiro ; Nomura, Yukihiro ; Yoshikawa, Takeharu ; Abe, Osamu
Publisher:United States: Society of Photo-Optical Instrumentation Engineers
Journal title:Journal of medical imaging (Bellingham, Wash.), 2025-01, Vol.12 (1), p.014501-014501
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ArticlesPeer ReviewedFull Text
It is Not Time to Kick Out Radiologists
Author / Creator:Nakamura, Yuta ; Sonoda, Yuki ; Yamagishi, Yosuke ; Kikuchi, Tomohiro ; Nakao, Takahiro ; Miki, Soichiro ; Hanaoka, Shouhei ; Yoshikawa, Takeharu ; Abe, Osamu
Publisher:Singapore: Springer Nature Singapore
Journal title:Asian bioethics review, 2025-01, Vol.17 (1), p.9-15
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Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2
Author / Creator:Yamagishi, Yosuke ; Hanaoka, Shouhei ; Kikuchi, Tomohiro ; Nakao, Takahiro ; Nakamura, Yuta ; Nomura, Yukihiro ; Miki, Soichiro ; Yoshikawa, Takeharu ; Abe, Osamu
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-09
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Method for Generating Synthetic Data Combining Chest Radiography Images with Tabular Clinical Information Using Dual Generative Models
Author / Creator:Kikuchi, Tomohiro ; Hanaoka, Shouhei ; Nakao, Takahiro ; Takenaga, Tomomi ; Nomura, Yukihiro ; Mori, Harushi ; Yoshikawa, Takeharu
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2023-09
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X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols
Author / Creator:Shibata, Hisaichi ; Hanaoka, Shouhei ; Nomura, Yukihiro ; Nakao, Takahiro ; Takenaga, Tomomi ; Hayashi, Naoto ; Abe, Osamu
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2021-10
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Anomaly detection in chest 18F-FDG PET/CT by Bayesian deep learning

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Performance changes due to differences in training data for cerebral aneurysm detection in head MR angiography images

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Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers

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Deep generative abnormal lesion emphasization validated by nine radiologists and 1000 chest X-rays with lung nodules

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Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study

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Impact of CT-determined low kidney volume on renal function decline: a propensity score-matched analysis

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Practical Medical Image Generation with Provable Privacy Protection Based on Denoising Diffusion Probabilistic Models for High-Resolution Volumetric Images

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Computer-aided detection of cerebral aneurysms with magnetic resonance angiography: usefulness of volume rendering to display lesion candidates

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Relationship between Thyroid CT Density, Volume, and Future TSH Elevation: A 5-Year Follow-Up Study

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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

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Unsupervised Deep Anomaly Detection in Chest Radiographs

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Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging

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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

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Multimodal imaging findings of intrahepatic cholangiocarcinoma arising from a biliary adenofibroma: a case report with radiological–pathological correlation

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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

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It is Not Time to Kick Out Radiologists

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Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2

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Method for Generating Synthetic Data Combining Chest Radiography Images with Tabular Clinical Information Using Dual Generative Models

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X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols

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