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IEEE journal of biomedical and health informatics 17
Showing records 1 to 17 | Display only abstracts in IEEE journal of biomedical and health informatics from IGR 20-398085 Unsupervised Domain Adaptation Based Image Synthesis and Feature Alignment for Joint Optic Disc and Cup Segmentation
Lei H; Liu W; Xie H; Zhao B; Yue G; Lei B
IEEE journal of biomedical and health informatics 2022; 26: 90-102 (IGR: 22-4)
94594 Trail-Traced Threshold Test (T4) With a Weighted Binomial Distribution for a Psychophysical Test
Gong Y; Zhu H; Miranda M; Crabb DP; Yang H; Bi W; Garway-Heath DF
IEEE journal of biomedical and health informatics 2021; 25: 2787-2800 (IGR: 22-2)
91534 Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images
George Y; Antony BJ; Ishikawa H; Wollstein G; Schuman JS; Garnavi R
IEEE journal of biomedical and health informatics 2020; 24: 3421-3430 (IGR: 21-4)
82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Liao W
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)
82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Zhao R
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)
82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Zou B
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)
82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Chen X
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)
82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Zhao R
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)
82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Xiyao L; Zailiang C
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)
82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Chen Y; He Z
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)
82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Guo F; Li S
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)
82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Zhou M
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)
80477 Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation
Shankaranarayana SM; Ram K; Mitra K; Sivaprakasam M
IEEE journal of biomedical and health informatics 2019; 23: 1417-1426 (IGR: 20-3)
67206 Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted from Fundus Images
Maheshwari S; Pachori RB; Acharya UR
IEEE journal of biomedical and health informatics 2016; 0: (IGR: 17-4)
60223 Cross-examination for Angle-Closure Glaucoma Feature Detection
S Issac N; Lin W; Kwoh CK; Kuo J; Aquino MC; Sng C; Chew PT
IEEE journal of biomedical and health informatics 2016; 20: 343-354 (IGR: 16-4)
59221 Segmentation of the blood vessels and optic disk in retinal images
Salazar-Gonzalez A; Kaba D; Li Y; Liu X
IEEE journal of biomedical and health informatics 2014; 18: 1874-1886 (IGR: 16-3)
57172 Exploring early glaucoma and the visual field test: classification and clustering using Bayesian networks
Ceccon S; Garway-Heath DF; Crabb DP; Tucker A
IEEE journal of biomedical and health informatics 2014; 18: 1008-1014 (IGR: 16-2)
