| 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 | 149 | 2024 |
| Association of MRI indices of glymphatic system with amyloid deposition and cognition in mild cognitive impairment and Alzheimer disease K Kamagata, C Andica, K Takabayashi, Y Saito, T Taoka, H Nozaki, ... Neurology 99 (24), e2648-e2660, 2022 | 138 | 2022 |
| Variability and standardization of quantitative imaging: monoparametric to multiparametric quantification, radiomics, and artificial intelligence A Hagiwara, S Fujita, Y Ohno, S Aoki Investigative radiology 55 (9), 601-616, 2020 | 132 | 2020 |
| Advantages of using both voxel-and surface-based morphometry in cortical morphology analysis: a review of various applications M Goto, O Abe, A Hagiwara, S Fujita, K Kamagata, M Hori, S Aoki, ... Magnetic Resonance in Medical Sciences 21 (1), 41-57, 2022 | 84 | 2022 |
| Improving the quality of synthetic FLAIR images with deep learning using a conditional generative adversarial network for pixel-by-pixel image translation A Hagiwara, Y Otsuka, M Hori, Y Tachibana, K Yokoyama, S Fujita, ... American journal of neuroradiology 40 (2), 224-230, 2019 | 78 | 2019 |
| Three-dimensional high-resolution simultaneous quantitative mapping of the whole brain with 3D-QALAS: An accuracy and repeatability study S Fujita, A Hagiwara, M Hori, M Warntjes, K Kamagata, I Fukunaga, ... Magnetic resonance imaging 63, 235-243, 2019 | 73 | 2019 |
| White matter abnormalities in multiple sclerosis evaluated by quantitative synthetic MRI, diffusion tensor imaging, and neurite orientation dispersion and density imaging A Hagiwara, K Kamagata, K Shimoji, K Yokoyama, C Andica, M Hori, ... American Journal of Neuroradiology 40 (10), 1642-1648, 2019 | 64 | 2019 |
| Diffusion magnetic resonance imaging-based biomarkers for neurodegenerative diseases K Kamagata, C Andica, A Kato, Y Saito, W Uchida, T Hatano, M Lukies, ... International Journal of Molecular Sciences 22 (10), 5216, 2021 | 62 | 2021 |
| Deep learning approach for generating MRA images from 3D quantitative synthetic MRI without additional scans S Fujita, A Hagiwara, Y Otsuka, M Hori, N Takei, KP Hwang, R Irie, ... Investigative radiology 55 (4), 249-256, 2020 | 51 | 2020 |
| 3D quantitative synthetic MRI‐derived cortical thickness and subcortical brain volumes: Scan–rescan repeatability and comparison with conventional T1‐weighted … S Fujita, A Hagiwara, M Hori, M Warntjes, K Kamagata, I Fukunaga, ... Journal of Magnetic Resonance Imaging 50 (6), 1834-1842, 2019 | 48 | 2019 |
| Characterization of brain volume changes in aging individuals with normal cognition using serial magnetic resonance imaging S Fujita, S Mori, K Onda, S Hanaoka, Y Nomura, T Nakao, T Yoshikawa, ... JAMA Network Open 6 (6), e2318153-e2318153, 2023 | 46 | 2023 |
| Differentiating Alzheimer’s disease from dementia with Lewy bodies using a deep learning technique based on structural brain connectivity A Wada, K Tsuruta, R Irie, K Kamagata, T Maekawa, S Fujita, S Koshino, ... Magnetic Resonance in Medical Sciences 18 (3), 219-224, 2019 | 46 | 2019 |
| Age-related changes in relaxation times, proton density, myelin, and tissue volumes in adult brain analyzed by 2-dimensional quantitative synthetic magnetic resonance imaging A Hagiwara, K Fujimoto, K Kamagata, S Murata, R Irie, H Kaga, Y Someya, ... Investigative radiology 56 (3), 163-172, 2021 | 44 | 2021 |
| Differentiation of high-grade and low-grade intra-axial brain tumors by time-dependent diffusion MRI T Maekawa, M Hori, K Murata, T Feiweier, K Kamiya, C Andica, ... Magnetic Resonance Imaging 72, 34-41, 2020 | 41 | 2020 |
| Advanced diffusion magnetic resonance imaging in patients with Alzheimer's and Parkinson's diseases K Kamagata, C Andica, T Hatano, T Ogawa, H Takeshige-Amano, ... Neural regeneration research 15 (9), 1590-1600, 2020 | 36 | 2020 |
| Myelin measurement using quantitative magnetic resonance imaging: a correlation study comparing various imaging techniques in patients with multiple sclerosis L Saccenti, A Hagiwara, C Andica, K Yokoyama, S Fujita, S Kato, ... Cells 9 (2), 393, 2020 | 36 | 2020 |
| Accelerated isotropic multiparametric imaging by high spatial resolution 3D-QALAS with compressed sensing: a phantom, volunteer, and patient study S Fujita, A Hagiwara, N Takei, KP Hwang, I Fukunaga, S Kato, C Andica, ... Investigative radiology 56 (5), 292-300, 2021 | 35 | 2021 |
| Scan–rescan and inter-vendor reproducibility of neurite orientation dispersion and density imaging metrics C Andica, K Kamagata, T Hayashi, A Hagiwara, W Uchida, Y Saito, ... Neuroradiology 62, 483-494, 2020 | 34 | 2020 |
| A novel deep learning approach with a 3D convolutional ladder network for differential diagnosis of idiopathic normal pressure hydrocephalus and Alzheimer’s disease R Irie, Y Otsuka, A Hagiwara, K Kamagata, K Kamiya, M Suzuki, A Wada, ... Magnetic Resonance in Medical Sciences 19 (4), 351-358, 2020 | 33 | 2020 |
| 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 | 28 | 2023 |
