Hizukuri A - Search Results

1

Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanisms.

Shiomi T, Nakayama R, Hizukuri A, Takafuji M, Ishida M, Sakuma H. Shiomi T, et al. Among authors: hizukuri a. Radiol Phys Technol. 2024 Dec 31. doi: 10.1007/s12194-024-00875-x. Online ahead of print. Radiol Phys Technol. 2024. PMID: 39738880

2

Anomaly detection scheme for lung CT images using vector quantized variational auto-encoder with support vector data description.

Gao Z, Nakayama R, Hizukuri A, Kido S. Gao Z, et al. Among authors: hizukuri a. Radiol Phys Technol. 2024 Oct 26. doi: 10.1007/s12194-024-00851-5. Online ahead of print. Radiol Phys Technol. 2024. PMID: 39460873

3

Computerized Segmentation Method for Nonmasses on Breast DCE-MRI Images Using ResUNet++ with Slice Sequence Learning and Cross-Phase Convolution.

Hizukuri A, Nakayama R, Goto M, Sakai K. Hizukuri A, et al. J Imaging Inform Med. 2024 Aug;37(4):1567-1578. doi: 10.1007/s10278-024-01053-6. Epub 2024 Mar 5. J Imaging Inform Med. 2024. PMID: 38441702 Free PMC article.

4

Tooth detection for each tooth type by application of faster R-CNNs to divided analysis areas of dental panoramic X-ray images.

Mima Y, Nakayama R, Hizukuri A, Murata K. Mima Y, et al. Among authors: hizukuri a. Radiol Phys Technol. 2022 Jun;15(2):170-176. doi: 10.1007/s12194-022-00659-1. Epub 2022 May 4. Radiol Phys Technol. 2022. PMID: 35507126

5

Segmentation of teeth in panoramic dental X-ray images using U-Net with a loss function weighted on the tooth edge.

Nishitani Y, Nakayama R, Hayashi D, Hizukuri A, Murata K. Nishitani Y, et al. Among authors: hizukuri a. Radiol Phys Technol. 2021 Mar;14(1):64-69. doi: 10.1007/s12194-020-00603-1. Epub 2021 Jan 5. Radiol Phys Technol. 2021. PMID: 33398671

6

Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization.

Hizukuri A, Nakayama R, Nara M, Suzuki M, Namba K. Hizukuri A, et al. J Digit Imaging. 2021 Feb;34(1):116-123. doi: 10.1007/s10278-020-00394-2. Epub 2020 Nov 6. J Digit Imaging. 2021. PMID: 33159279 Free PMC article.

7

Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network.

Kobayashi H, Nakayama R, Hizukuri A, Ishida M, Kitagawa K, Sakuma H. Kobayashi H, et al. Among authors: hizukuri a. J Digit Imaging. 2020 Apr;33(2):497-503. doi: 10.1007/s10278-019-00264-6. J Digit Imaging. 2020. PMID: 31452007 Free PMC article.

8

Computer-Aided Diagnosis Scheme for Determining Histological Classification of Breast Lesions on Ultrasonographic Images Using Convolutional Neural Network.

Hizukuri A, Nakayama R. Hizukuri A, et al. Diagnostics (Basel). 2018 Jul 25;8(3):48. doi: 10.3390/diagnostics8030048. Diagnostics (Basel). 2018. PMID: 30044441 Free PMC article.

9

Computerized determination scheme for histological classification of breast mass using objective features corresponding to clinicians' subjective impressions on ultrasonographic images.

Hizukuri A, Nakayama R, Kashikura Y, Takase H, Kawanaka H, Ogawa T, Tsuruoka S. Hizukuri A, et al. J Digit Imaging. 2013 Oct;26(5):958-70. doi: 10.1007/s10278-013-9594-7. J Digit Imaging. 2013. PMID: 23546774 Free PMC article.

10

Improved differential diagnosis of breast masses on ultrasonographic images with a computer-aided diagnosis scheme for determining histological classifications.

Kashikura Y, Nakayama R, Hizukuri A, Noro A, Nohara Y, Nakamura T, Ito M, Kimura H, Yamashita M, Hanamura N, Ogawa T. Kashikura Y, et al. Among authors: hizukuri a. Acad Radiol. 2013 Apr;20(4):471-7. doi: 10.1016/j.acra.2012.11.007. Acad Radiol. 2013. PMID: 23498989

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