| Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network T Fujioka, K Kubota, M Mori, Y Kikuchi, L Katsuta, M Kasahara, G Oda, ... Japanese journal of radiology 37, 466-472, 2019 | 142 | 2019 |
| Utility of magnetic resonance enterography for small bowel endoscopic healing in patients with Crohn's disease K Takenaka, K Ohtsuka, Y Kitazume, K Matsuoka, M Nagahori, T Fujii, ... Official journal of the American College of Gastroenterology| ACG 113 (2 …, 2018 | 64 | 2018 |
| Evaluation of the usefulness of CO-RADS for chest CT in patients suspected of having COVID-19 T Fujioka, M Takahashi, M Mori, J Tsuchiya, E Yamaga, T Horii, ... Diagnostics 10 (9), 608, 2020 | 58 | 2020 |
| The utility of deep learning in breast ultrasonic imaging: a review T Fujioka, M Mori, K Kubota, J Oyama, E Yamaga, Y Yashima, L Katsuta, ... Diagnostics 10 (12), 1055, 2020 | 53 | 2020 |
| Classification of breast masses on ultrasound shear wave elastography using convolutional neural networks T Fujioka, L Katsuta, K Kubota, M Mori, Y Kikuchi, A Kato, G Oda, ... Ultrasonic Imaging 42 (4-5), 213-220, 2020 | 49 | 2020 |
| Detection and diagnosis of breast cancer using artificial intelligence based assessment of maximum intensity projection dynamic contrast-enhanced magnetic resonance images M Adachi, T Fujioka, M Mori, K Kubota, Y Kikuchi, W Xiaotong, J Oyama, ... Diagnostics 10 (5), 330, 2020 | 43 | 2020 |
| Breast ultrasound image synthesis using deep convolutional generative adversarial networks T Fujioka, M Mori, K Kubota, Y Kikuchi, L Katsuta, M Adachi, G Oda, ... Diagnostics 9 (4), 176, 2019 | 40 | 2019 |
| Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging T Fujioka, Y Yashima, J Oyama, M Mori, K Kubota, L Katsuta, K Kimura, ... Magnetic Resonance Imaging 75, 1-8, 2021 | 32 | 2021 |
| Simultaneous comparison between strain and shear wave elastography of breast masses for the differentiation of benign and malignant lesions by qualitative and quantitative … T Fujioka, M Mori, K Kubota, Y Kikuchi, L Katsuta, M Kasahara, G Oda, ... Breast Cancer 26, 792-798, 2019 | 28 | 2019 |
| Efficient anomaly detection with generative adversarial network for breast ultrasound imaging T Fujioka, K Kubota, M Mori, Y Kikuchi, L Katsuta, M Kimura, E Yamaga, ... Diagnostics 10 (7), 456, 2020 | 27 | 2020 |
| Feasibility of new fat suppression for breast MRI using pix2pix M Mori, T Fujioka, L Katsuta, Y Kikuchi, G Oda, T Nakagawa, Y Kitazume, ... Japanese Journal of Radiology 38, 1075-1081, 2020 | 22 | 2020 |
| Magnetic resonance evaluation for small bowel strictures in Crohn’s disease: comparison with balloon enteroscopy K Takenaka, K Ohtsuka, Y Kitazume, K Matsuoka, T Fujii, M Nagahori, ... Journal of Gastroenterology 52, 879-888, 2017 | 20 | 2017 |
| Magnetic resonance evaluation for small bowel strictures in Crohn’s disease: comparison with balloon enteroscopy K Takenaka, K Ohtsuka, Y Kitazume, K Matsuoka, T Fujii, M Nagahori, ... Journal of Gastroenterology 52, 879-888, 2017 | 20 | 2017 |
| Diagnostic performance of time-of-flight PET/CT for evaluating nodal metastasis of the axilla in breast cancer M Mori, T Fujioka, L Katsuta, J Tsuchiya, K Kubota, M Kasahara, G Oda, ... Nuclear Medicine Communications 40 (9), 958-964, 2019 | 18 | 2019 |
| Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography J Ozaki, T Fujioka, E Yamaga, A Hayashi, Y Kujiraoka, T Imokawa, ... Japanese Journal of Radiology 40 (8), 814-822, 2022 | 17 | 2022 |
| Deep learning using multiple degrees of maximum-intensity projection for PET/CT image classification in breast cancer K Takahashi, T Fujioka, J Oyama, M Mori, E Yamaga, Y Yashima, ... Tomography 8 (1), 131-141, 2022 | 17 | 2022 |
| Virtual interpolation images of tumor development and growth on breast ultrasound image synthesis with deep convolutional generative adversarial networks T Fujioka, K Kubota, M Mori, L Katsuta, Y Kikuchi, K Kimura, M Kimura, ... Journal of Ultrasound in Medicine 40 (1), 61-69, 2021 | 16 | 2021 |
| Long-term follow-up using 18F-FDG PET/CT for postoperative olfactory neuroblastoma T Fujioka, A Toriihara, K Kubota, Y Machida, S Nakamura, S Kishimoto, ... Nuclear Medicine Communications 35 (8), 857-863, 2014 | 16 | 2014 |
| Crohn disease: a 5-point MR enterocolonography classification using enteroscopic findings Y Kitazume, T Fujioka, K Takenaka, J Oyama, K Ohtsuka, T Fujii, U Tateisi American Journal of Roentgenology 212 (1), 67-76, 2019 | 14 | 2019 |
| Efficiency of fluorodeoxyglucose positron emission tomography/computed tomography to predict prognosis in breast cancer patients received neoadjuvant chemotherapy T Ishiba, T Nakagawa, T Sato, M Nagahara, G Oda, H Sugimoto, ... Springerplus 4 (1), 1-9, 2015 | 14 | 2015 |
