1. 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.
Radiol Phys Technol. 2022 Jun;15(2):170-176.
2. Semiautomated segmentation and volume measurements of cervical carotid high-signal plaques using 3D turbo spin-echo T1-weighted black-blood vessel wall imaging: A preliminary study.
Inoue K, Nakayama R, Isoshima S, Takase S, Yamahata T, Umino M, Maeda M, Sakuma H.
Diagnostics (Basel). 2022 Apr 17;12(4):1014.
3. Tumor blood flow and apparent diffusion coefficient histogram analysis for differentiating malignant salivary tumors from pleomorphic adenomas and Warthin's tumors.
Tanaka F, Umino M, Maeda M, Nakayama R, Inoue K, Kogue R, Obara M, Sakuma H.
Sci Rep. 2022 Apr 8;12(1):5947.
4
Cite Share
A novel strategy to develop deep learning for image super-resolution using original ultrahigh-resolution computed tomography images of lung as training dataset.
Kitahara H, Nagatani Y, Otani H, Nakayama R, Kida Y, Sonoda A, Watanabe Y.
Jpn J Radiol. 2022 Jan;40(1):38-47. doi: 10.1007/s11604-021-01184-8. Epub 2021 Jul 28.
PMID: 34318444 Free PMC article.
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.
Radiol Phys Technol. 2021 Mar;14(1):64-69. doi: 10.1007/s12194-020-00603-1.
1. 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.
Radiol Phys Technol. 2022 Jun;15(2):170-176.
2. Semiautomated segmentation and volume measurements of cervical carotid high-signal plaques using 3D turbo spin-echo T1-weighted black-blood vessel wall imaging: A preliminary study.
Inoue K, Nakayama R, Isoshima S, Takase S, Yamahata T, Umino M, Maeda M, Sakuma H.
Diagnostics (Basel). 2022 Apr 17;12(4):1014.
3. Tumor blood flow and apparent diffusion coefficient histogram analysis for differentiating malignant salivary tumors from pleomorphic adenomas and Warthin's tumors.
Tanaka F, Umino M, Maeda M, Nakayama R, Inoue K, Kogue R, Obara M, Sakuma H.
Sci Rep. 2022 Apr 8;12(1):5947.
4
Cite Share
A novel strategy to develop deep learning for image super-resolution using original ultrahigh-resolution computed tomography images of lung as training dataset.
Kitahara H, Nagatani Y, Otani H, Nakayama R, Kida Y, Sonoda A, Watanabe Y.
Jpn J Radiol. 2022 Jan;40(1):38-47. doi: 10.1007/s11604-021-01184-8. Epub 2021 Jul 28.
PMID: 34318444 Free PMC article.
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.
Radiol Phys Technol. 2021 Mar;14(1):64-69. doi: 10.1007/s12194-020-00603-1.