| Deep learning with convolutional neural network for differentiation of liver masses at dynamic contrast-enhanced CT: a preliminary study K Yasaka, H Akai, O Abe, S Kiryu Radiology 286 (3), 887-896, 2018 | 579 | 2018 |
| Deep learning with convolutional neural network in radiology K Yasaka, H Akai, A Kunimatsu, S Kiryu, O Abe Japanese journal of radiology 36, 257-272, 2018 | 352 | 2018 |
| Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique M Katsura, I Matsuda, M Akahane, J Sato, H Akai, K Yasaka, A Kunimatsu, ... European radiology 22, 1613-1623, 2012 | 327 | 2012 |
| Liver fibrosis: deep convolutional neural network for staging by using gadoxetic acid–enhanced hepatobiliary phase MR images K Yasaka, H Akai, A Kunimatsu, O Abe, S Kiryu Radiology 287 (1), 146-155, 2018 | 185 | 2018 |
| Model-based iterative reconstruction technique for ultralow-dose chest CT: comparison of pulmonary nodule detectability with the adaptive statistical iterative reconstruction … M Katsura, I Matsuda, M Akahane, K Yasaka, S Hanaoka, H Akai, J Sato, ... Investigative radiology 48 (4), 206-212, 2013 | 166 | 2013 |
| MRI findings in posttraumatic stress disorder A Kunimatsu, K Yasaka, H Akai, N Kunimatsu, O Abe Journal of Magnetic Resonance Imaging 52 (2), 380-396, 2020 | 129 | 2020 |
| Relationship between liver function and liver signal intensity in hepatobiliary phase of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid-enhanced magnetic resonance … T Tajima, H Takao, H Akai, S Kiryu, H Imamura, Y Watanabe, J Shibahara, ... Journal of computer assisted tomography 34 (3), 362-366, 2010 | 128 | 2010 |
| Deep learning for staging liver fibrosis on CT: a pilot study K Yasaka, H Akai, A Kunimatsu, O Abe, S Kiryu European radiology 28, 4578-4585, 2018 | 114 | 2018 |
| MR imaging of the biliary tract with Gd-EOB-DTPA: effect of liver function on signal intensity H Takao, H Akai, T Tajima, S Kiryu, Y Watanabe, H Imamura, M Akahane, ... European journal of radiology 77 (2), 325-329, 2011 | 109 | 2011 |
| Detection of hepatocellular carcinoma by Gd-EOB-DTPA-enhanced liver MRI: comparison with triple phase 64 detector row helical CT H Akai, S Kiryu, I Matsuda, J Satou, H Takao, T Tajima, Y Watanabe, ... European journal of radiology 80 (2), 310-315, 2011 | 106 | 2011 |
| Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network K Yasaka, H Akai, A Kunimatsu, S Kiryu, O Abe European radiology 30, 3549-3557, 2020 | 97 | 2020 |
| Pancreas divisum as a predisposing factor for chronic and recurrent idiopathic pancreatitis: initial in vivo survey W Gonoi, H Akai, K Hagiwara, M Akahane, N Hayashi, E Maeda, ... Gut 60 (8), 1103-1108, 2011 | 91 | 2011 |
| Predicting prognosis of resected hepatocellular carcinoma by radiomics analysis with random survival forest H Akai, K Yasaka, A Kunimatsu, M Nojima, T Kokudo, N Kokudo, ... Diagnostic and interventional imaging 99 (10), 643-651, 2018 | 89 | 2018 |
| Diffusion tensor tractography of gliomatosis cerebri: fiber tracking through the tumor H Akai, H Mori, S Aoki, Y Masutani, N Kawahara, J Shibahara, K Ohtomo Journal of computer assisted tomography 29 (1), 127-129, 2005 | 88 | 2005 |
| Fate of hypointense lesions on Gd-EOB-DTPA-enhanced magnetic resonance imaging H Akai, I Matsuda, S Kiryu, T Tajima, H Takao, Y Watanabe, H Imamura, ... European journal of radiology 81 (11), 2973-2977, 2012 | 64 | 2012 |
| Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study S Kiryu, K Yasaka, H Akai, Y Nakata, Y Sugomori, S Hara, M Seo, O Abe, ... European radiology 29, 6891-6899, 2019 | 62 | 2019 |
| Precision of quantitative computed tomography texture analysis using image filtering: a phantom study for scanner variability K Yasaka, H Akai, D Mackin, E Moros, K Ohtomo, S Kiryu Medicine 96 (21), e6993, 2017 | 59 | 2017 |
| Parasellar T2 dark sign on MR imaging in patients with lymphocytic hypophysitis Y Nakata, N Sato, T Masumoto, H Mori, H Akai, H Nobusawa, Y Adachi, ... American journal of neuroradiology 31 (10), 1944-1950, 2010 | 54 | 2010 |
| Radiology reading-caused fatigue and measurement of eye strain with critical flicker fusion frequency E Maeda, T Yoshikawa, N Hayashi, H Akai, S Hanaoka, H Sasaki, ... Japanese journal of radiology 29, 483-487, 2011 | 53 | 2011 |
| Imaging prediction of nonalcoholic steatohepatitis using computed tomography texture analysis S Naganawa, K Enooku, R Tateishi, H Akai, K Yasaka, J Shibahara, ... European radiology 28, 3050-3058, 2018 | 49 | 2018 |
Shigeru KiryuInternational University of Health and Welfare Hospital, Nasushiobara, Tochigi, Japan在 umin.ac.jp 的电子邮件经过验证
