advertisement
Miki A 16
Showing records 1 to 16 | Display all abstracts from Miki A82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Mao Z
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
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
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
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
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
Dong Y; 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
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
Kawasaki R
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
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; Mori 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
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
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; 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
Yamashita T; Kashiwagi K; Shoji N; Zangwill LM; Asaoka R
British Journal of Ophthalmology 2019; 0:
