| Super-resolution Deep Learning Reconstruction for 3D Brain MR Imaging: Improvement of Cranial Nerve Depiction and Interobserver Agreement in Evaluations of Neurovascular Conflict K Yasaka, J Kanzawa, M Nakaya, R Kurokawa, T Tajima, H Akai, ... Academic Radiology, 2024 | | 2024 |
| Faster acquisition of magnetic resonance imaging sequences of the knee via deep learning reconstruction: a volunteer study H Akai, K Yasaka, H Sugawara, T Furuta, T Tajima, S Kato, H Yamaguchi, ... Clinical Radiology 79 (6), 453-459, 2024 | | 2024 |
| Spontaneous rupture of a uterine leiomyoma accompanied by a hematoma appearing as a cystic lesion on imaging: A case report S Suzuki, A Kunimatsu, T Tajima, S Suzuki, Y Nagayoshi, Y Hayashi, ... Radiology Case Reports 19 (6), 2139-2142, 2024 | | 2024 |
| Super-resolution deep learning reconstruction cervical spine 1.5 T MRI: improved interobserver agreement in evaluations of neuroforaminal stenosis compared to conventional deep … K Yasaka, S Uehara, S Kato, Y Watanabe, T Tajima, H Akai, N Yoshioka, ... Journal of Imaging Informatics in Medicine, 1-8, 2024 | 1 | 2024 |
| FAIR: a recipe for ensuring fairness in healthcare artificial intelligence T Yoshiura, S Kiryu Japanese Journal of Radiology 42 (1), 1-2, 2024 | 2 | 2024 |
| Evaluation of the relations between reproduction-related pituitary and ovarian hormones and abdominal fat area-related variables determined with computed tomography in … H Guo, B Yang, S Kiryu, Q Wang, D Yu, Z Sun, Y Chen, X Li, F Wang, ... Quantitative Imaging in Medicine and Surgery 13 (10), 7065, 2023 | | 2023 |
| Differentiation between pleomorphic adenoma and schwannoma in the parapharyngeal space: histogram analysis of apparent diffusion coefficient N Kunimatsu, A Kunimatsu, K Miura, I Mori, S Kiryu Dentomaxillofacial Radiology 52 (7), 20230140, 2023 | | 2023 |
| Comparison of 1.5 T and 3 T magnetic resonance angiography for detecting cerebral aneurysms using deep learning-based computer-assisted detection software T Tajima, H Akai, K Yasaka, A Kunimatsu, N Yoshioka, M Akahane, ... Neuroradiology 65 (10), 1473-1482, 2023 | | 2023 |
| Clinical impact of deep learning reconstruction in MRI S Kiryu, H Akai, K Yasaka, T Tajima, A Kunimatsu, N Yoshioka, ... Radiographics 43 (6), e220133, 2023 | 17 | 2023 |
| Value of apparent diffusion coefficient on MRI for prediction of histopathological type in anal fistula cancer S Yamamoto, K Yonezawa, N Fukata, K Takeshita, M Kodama, T Yamana, ... Medicine 102 (14), e33281, 2023 | | 2023 |
| The contralateral effects of anticipated stimuli on brain activity measured by ERP and fMRI Y Ohgami, Y Kotani, N Yoshida, H Akai, A Kunimatsu, S Kiryu, Y Inoue Psychophysiology 60 (3), e14189, 2023 | 2 | 2023 |
| Acceleration of knee magnetic resonance imaging using a combination of compressed sensing and commercially available deep learning reconstruction: a preliminary study H Akai, K Yasaka, H Sugawara, T Tajima, M Kamitani, T Furuta, ... BMC Medical Imaging 23 (1), 5, 2023 | 8 | 2023 |
| Pulse sequences and reconstruction in Fast MR imaging of the liver H Kabasawa, S Kiryu Magnetic Resonance in Medical Sciences 22 (2), 176-190, 2023 | 4 | 2023 |
| Usefulness of deep learning-based noise reduction for 1.5 T MRI brain images T Tajima, H Akai, K Yasaka, A Kunimatsu, Y Yamashita, M Akahane, ... Clinical Radiology 78 (1), e13-e21, 2023 | 9 | 2023 |
| Commercially available deep-learning-reconstruction of MR imaging of the knee at 1.5 T has higher image quality than conventionally-reconstructed imaging at 3T: A normal … H Akai, K Yasaka, H Sugawara, T Tajima, M Akahane, N Yoshioka, ... Magnetic Resonance in Medical Sciences 22 (3), 353-360, 2023 | 10 | 2023 |
| Deep learning reconstruction for the evaluation of neuroforaminal stenosis using 1.5 T cervical spine MRI: comparison with 3T MRI without deep learning reconstruction K Yasaka, T Tanishima, Y Ohtake, T Tajima, H Akai, K Ohtomo, O Abe, ... Neuroradiology 64 (10), 2077-2083, 2022 | 6 | 2022 |
| Feasibility of accelerated whole-body diffusion-weighted imaging using a deep learning-based noise-reduction technique in patients with prostate cancer T Tajima, H Akai, H Sugawara, T Furuta, K Yasaka, A Kunimatsu, ... Magnetic Resonance Imaging 92, 169-179, 2022 | 11 | 2022 |
| Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes K Yasaka, T Tanishima, Y Ohtake, T Tajima, H Akai, K Ohtomo, O Abe, ... European Radiology 32 (9), 6118-6125, 2022 | 19 | 2022 |
| DIFFERENT ACTIVATION PATTERN BETWEEN THE LEFT AND RIGHT ANTERIOR INSULA EVOKED BY SWITCHING STIMULI WITH REWARD INFORMATION Y Kotani, Y Ohgami, N Yoshida, H Akai, A Kunimatsu, S Kiryu, Y Inoue PSYCHOPHYSIOLOGY 59, S117-S118, 2022 | | 2022 |
| THE UNILATERAL FEEDBACK AFFECTS THE STIMULUS-PRECEDING NEGATIVITY (SPN) AND THE ANTERIOR INSULA: ERP AND FMRI STUDIES Y Ohgami, Y Kotani, N Yoshida, H Akai, A Kunimatsu, S Kiryu, Y Inoue PSYCHOPHYSIOLOGY 59, S116-S116, 2022 | | 2022 |
