| Deep learning for MR angiography: automated detection of cerebral aneurysms D Ueda, A Yamamoto, M Nishimori, T Shimono, S Doishita, A Shimazaki, ... Radiology 290 (1), 187-194, 2019 | 206 | 2019 |
| Technical and clinical overview of deep learning in radiology D Ueda, A Shimazaki, Y Miki Japanese journal of radiology 37, 15-33, 2019 | 85 | 2019 |
| Fairness of artificial intelligence in healthcare: review and recommendations D Ueda, T Kakinuma, S Fujita, K Kamagata, Y Fushimi, R Ito, Y Matsui, ... Japanese Journal of Radiology 42 (1), 3-15, 2024 | 75 | 2024 |
| Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method A Shimazaki, D Ueda, A Choppin, A Yamamoto, T Honjo, Y Shimahara, ... Scientific Reports 12 (1), 727, 2022 | 74 | 2022 |
| Diagnostic performance of ChatGPT from patient history and imaging findings on the Diagnosis Please quizzes D Ueda, Y Mitsuyama, H Takita, D Horiuchi, SL Walston, H Tatekawa, ... Radiology 308 (1), e231040, 2023 | 43 | 2023 |
| Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study D Ueda, A Yamamoto, A Shimazaki, SL Walston, T Matsumoto, N Izumi, ... BMC cancer 21, 1-8, 2021 | 31 | 2021 |
| Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets D Ueda, A Yamamoto, N Onoda, T Takashima, S Noda, S Kashiwagi, ... Plos one 17 (3), e0265751, 2022 | 23 | 2022 |
| Deep learning–based angiogram generation model for cerebral angiography without misregistration artifacts D Ueda, Y Katayama, A Yamamoto, T Ichinose, H Arima, Y Watanabe, ... Radiology 299 (3), 675-681, 2021 | 21 | 2021 |
| Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study D Ueda, T Matsumoto, S Ehara, A Yamamoto, SL Walston, A Ito, ... The Lancet Digital Health 5 (8), e525-e533, 2023 | 20 | 2023 |
| Accuracy of ChatGPT generated diagnosis from patient's medical history and imaging findings in neuroradiology cases D Horiuchi, H Tatekawa, T Shimono, SL Walston, H Takita, S Matsushita, ... Neuroradiology 66 (1), 73-79, 2024 | 19 | 2024 |
| Deep learning for pneumothorax diagnosis: a systematic review and meta-analysis T Sugibayashi, SL Walston, T Matsumoto, Y Mitsuyama, Y Miki, D Ueda European Respiratory Review 32 (168), 2023 | 15 | 2023 |
| Evaluating GPT-4-based ChatGPT's clinical potential on the NEJM quiz D Ueda, SL Walston, T Matsumoto, R Deguchi, H Tatekawa, Y Miki BMC Digital Health 2 (1), 4, 2024 | 14 | 2024 |
| Chest radiography as a biomarker of ageing: artificial intelligence-based, multi-institutional model development and validation in Japan Y Mitsuyama, T Matsumoto, H Tatekawa, SL Walston, T Kimura, ... The Lancet Healthy Longevity 4 (9), e478-e486, 2023 | 14 | 2023 |
| Artificial intelligence-based detection of aortic stenosis from chest radiographs D Ueda, A Yamamoto, S Ehara, S Iwata, K Abo, SL Walston, T Matsumoto, ... European Heart Journal-Digital Health 3 (1), 20-28, 2022 | 14 | 2022 |
| Visualizing “featureless” regions on mammograms classified as invasive ductal carcinomas by a deep learning algorithm: the promise of AI support in radiology D Ueda, A Yamamoto, T Takashima, N Onoda, S Noda, S Kashiwagi, ... Japanese Journal of Radiology 39, 333-340, 2021 | 14 | 2021 |
| Improved reproducibility of diffusion tensor image analysis along the perivascular space (DTI-ALPS) index: an analysis of reorientation technique of the OASIS-3 dataset H Tatekawa, S Matsushita, D Ueda, H Takita, D Horiuchi, N Atsukawa, ... Japanese Journal of Radiology 41 (4), 393-400, 2023 | 13 | 2023 |
| Artificial intelligence-based detection of atrial fibrillation from chest radiographs T Matsumoto, S Ehara, SL Walston, Y Mitsuyama, Y Miki, D Ueda European Radiology 32 (9), 5890-5897, 2022 | 13 | 2022 |
| Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction F Tatsugami, T Nakaura, M Yanagawa, S Fujita, K Kamagata, R Ito, ... Diagnostic and interventional imaging, 2023 | 12 | 2023 |
| Deep Learning–Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest Radiographs T Matsumoto, SL Walston, M Walston, D Kabata, Y Miki, M Shiba, D Ueda Journal of Digital Imaging 36 (1), 178-188, 2023 | 12 | 2023 |
| Training, validation, and test of deep learning models for classification of receptor expressions in breast cancers from mammograms D Ueda, A Yamamoto, T Takashima, N Onoda, S Noda, S Kashiwagi, ... JCO Precision Oncology 5, 543-551, 2021 | 12 | 2021 |
Rintaro ItoAssistant Professor, Department of Innovative BioMedical Visualization, Nagoya University Graduate在 med.nagoya-u.ac.jp 的电子邮件经过验证
