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Miki A 15
Showing records 1 to 15 | Display all abstracts from Miki A81956 Validating the efficacy of the binomial pointwise linear regression method to detect glaucoma progression with multicentral database
Asano S
British Journal of Ophthalmology 2019; 0:
82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Mao Z; Miki A
Biomedical optics express 2019; 10: 5832-5851
81956 Validating the efficacy of the binomial pointwise linear regression method to detect glaucoma progression with multicentral database
Murata H; Matsuura M
British Journal of Ophthalmology 2019; 0:
82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Mei S; Dong Y
Biomedical optics express 2019; 10: 5832-5851
81956 Validating the efficacy of the binomial pointwise linear regression method to detect glaucoma progression with multicentral database
Fujino Y; Miki A
British Journal of Ophthalmology 2019; 0:
82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Maruyama K
Biomedical optics express 2019; 10: 5832-5851
81956 Validating the efficacy of the binomial pointwise linear regression method to detect glaucoma progression with multicentral database
Tanito M
British Journal of Ophthalmology 2019; 0:
82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Kawasaki R; Usui S
Biomedical optics express 2019; 10: 5832-5851
81956 Validating the efficacy of the binomial pointwise linear regression method to detect glaucoma progression with multicentral database
Mizoue S
British Journal of Ophthalmology 2019; 0:
82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Matsushita K
Biomedical optics express 2019; 10: 5832-5851
81956 Validating the efficacy of the binomial pointwise linear regression method to detect glaucoma progression with multicentral database
Mori K; Suzuki K
British Journal of Ophthalmology 2019; 0:
82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Nishida K
Biomedical optics express 2019; 10: 5832-5851
81956 Validating the efficacy of the binomial pointwise linear regression method to detect glaucoma progression with multicentral database
Yamashita T
British Journal of Ophthalmology 2019; 0:
82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Chan K
Biomedical optics express 2019; 10: 5832-5851
81956 Validating the efficacy of the binomial pointwise linear regression method to detect glaucoma progression with multicentral database
Kashiwagi K; Shoji N; Zangwill LM; Asaoka R
British Journal of Ophthalmology 2019; 0:
