Fujino Yuri
In this database
40
2015 – 2025
DB Citations
799
across indexed articles
h-index
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40 articles in Glaucoma Journal Club
Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images.
A DL model for glaucoma using spectral-domain OCT offers a substantive increase in diagnostic performance.
Validation of a Deep Learning Model to Screen for Glaucoma Using Images from Different Fundus Cameras and Data Augmentation.
The previously developed deep residual learning algorithm achieved high diagnostic performance with different fundus cameras across multiple institutes, in particular when image augmentation was used.
Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms.
Deep learning glaucoma detection can achieve high accuracy across diverse datasets with appropriate training strategies.
Evaluating the Usefulness of MP-3 Microperimetry in Glaucoma Patients.
The MP-3 microperimeter has a similar test-retest reproducibility to the HFA but a better structure-function relationship.
Asymmetric Patterns of Visual Field Defect in Primary Open-Angle and Primary Angle-Closure Glaucoma.
In both POAG and PACG eyes, VF damage was more pronounced in superior hemifield than inferior hemifield; however, this tendency was more obvious in POAG eyes than in PACG eyes.
Validating the Usefulness of the "Random Forests" Classifier to Diagnose Early Glaucoma With Optical Coherence Tomography.
It is useful to analyze multiple SDOCT parameters concurrently using the Random Forests method to diagnose glaucoma in early stages.
Changes in Axial Length and Progression of Visual Field Damage in Glaucoma.
The main finding was that an increase in AL was significantly related to slower VF progression in the inferior hemifield.
Investigating the usefulness of a cluster-based trend analysis to detect visual field progression in patients with open-angle glaucoma.
Cluster-based trend analysis and mTD trend analysis results were significantly associated in all clusters and with all lengths of VF series.
Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression.
The Humphrey 10-2 VF can be predicted from OCT-measured retinal layer thicknesses using deep learning and tensor regression.
Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field.
The performance of a DL model to predict 10-2 VF from macular OCT was improved by the correction with HFA 24-2/30-2.
Validating Variational Bayes Linear Regression Method With Multi-Central Datasets.
VBLR outperformed OLSLR to predict future VF progression, and the VBLR has a potential to be a helpful tool at clinical settings.
Rates of Visual Field Loss in Primary Open-Angle Glaucoma and Primary Angle-Closure Glaucoma: Asymmetric Patterns.
POAG eyes showed a faster rate of VF loss in the superior hemifield compared to in the inferior hemifield, particularly in central and paracentral regions. This difference was not observed in PACG eyes.
The Relationship Between Corvis ST Tonometry Parameters and Ocular Response Analyzer Corneal Hysteresis.
CST parameters are significant, but weakly or moderately, related to ORA measured CH.
Early Detection of Glaucomatous Visual Field Progression Using Pointwise Linear Regression With Binomial Test in the Central 10 Degrees.
The binomial PLR method detected glaucomatous VF progression in the central 10 degrees significantly earlier than PoPLR and MD trend analyses.
Estimating the Reliability of Glaucomatous Visual Field for the Accurate Assessment of Progression Using the Gaze-Tracking and Reliability Indices.
Mean total deviation progression rates are more reliable when FN, TFF, BF, and MPS indices are stricter. Gaze-tracking results should be considered when assessing glaucomatous progression.
Biomechanical Glaucoma Factor and Corneal Hysteresis in Treated Primary Open-Angle Glaucoma and Their Associations With Visual Field Progression.
CH, but not BGF, was associated with VF progression in POAG patients under treatment. BGF was not useful to discriminate POAG between treated and normal eyes.
Repeatability of the Novel Intraocular Pressure Measurement From Corvis ST.
The bIOP showed a better prevision and repeatability for IOP measurement.
Improving the Structure-Function Relationship in Glaucomatous Visual Fields by Using a Deep Learning-Based Noise Reduction Approach.
Applying VAE to VF data results in an improved structure-function relationship.
The Relationship between the Waveform Parameters from the Ocular Response Analyzer and the Progression of Glaucoma.
Ocular Response Analyzer waveform parameters were correlated significantly with glaucomatous VF progression and showed a stronger than correlation with VF progression than CH.
Comparing Structure-Function Relationships Based on Drasdo's and Sjöstrand's Retinal Ganglion Cell Displacement Models.
Structure-function relationships evaluated based on both the Drasdo and Sjöstrand models significantly improved around the fovea, particularly when using the Drasdo model. This was not the case in other areas.
Mapping the Central 10° Visual Field to the Optic Nerve Head Using the Structure-Function Relationship.
The structure-function map obtained largely confirms the previously reported map; however, some important differences were observed.
Effects of ocular and systemic factors on the progression of glaucomatous visual field damage in various sectors.
Smoking status is related to glaucomatous VF progression in all sectors of the inferior hemifield.
Applying "Lasso" Regression to Predict Future Glaucomatous Visual Field Progression in the Central 10 Degrees.
Mean deviation prediction using OLSLR with a small number of VFs resulted in large prediction errors. It was useful to apply Lasso regression when predicting future progression of the central 10 degrees, compared to OLSLR.
The Relationship Between Corneal Hysteresis and Progression of Glaucoma After Trabeculectomy.
CH is a useful measure in the management of glaucoma after trabeculectomy.
Development of a Novel Corneal Concavity Shape Parameter and Its Association with Glaucomatous Visual Field Progression.
A novel corneal concavity shape parameter, CSI, was closely related to glaucomatous VF progression.
Relationship between the Vertical Asymmetry of the Posterior Pole of the Eye and the Visual Field Damage in Glaucomatous Eyes.
Vertical asymmetry of the posterior pole was related to the vertical asymmetry of glaucomatous VF damage.
Goldmann V Standard Automated Perimetry Underestimates Central Visual Sensitivity in Glaucomatous Eyes with Increased Axial Length.
Visual sensitivity measured with the size V target decreases with increasing AL in the temporal area, which corresponds to the papillomacular bundle.
Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method.
The application of a binomial PLR achieved reliable and earlier detection of central VF progression in eyes with RP.
Improving Visual Field Trend Analysis with OCT and Deeply Regularized Latent-Space Linear Regression.
It is useful to include OCT measurements when predicting future VF progression in glaucoma patients, especially with short VF series.
The Relationship Between Optic Disc and Retinal Artery Position and Glaucomatous Visual Field Progression.
Progression of the inferior VF was associated with the superior retinal artery angular position in this study of POAG.
Effects of Daily Ambient Temperature on Intraocular Pressure: A Time-Series Analysis Using Generalized Additive and Distributed Lag Nonlinear Models.
Ambient temperature may be associated with IOP through nonlinear relationships and short-term cumulative effects, particularly in the non-glaucoma group. These findings suggest that monitoring ambient temperature is important for IOP management.
Comparison of the Variational Bayes Linear Regression Visual Field Test Algorithms and the Swedish Interactive Threshold Algorithm Standard in the 10-2 Program.
All the VBLR-VF algorithms substantially reduced the test duration while maintaining repeatability.
The Relationship Between Macular Pigment Optical Volume and Visual Function in Glaucoma Patients.
In glaucoma patients, MPOV was not associated with VF sensitivity, GCC, or NFL. These findings suggest no structural or functional association between MPOV and glaucomatous damage.
Usefulness of Measuring Corneal Stiffness in Predicting the Reduction of Intraocular Pressure With Microhook Ab Interno Trabeculotomy.
ORA and Corvis ST measurements suggested that stiff cornea was a risk factor for high postoperative GAT-IOP after TLO, in addition to preoperative high Hb, high CRP, and the use of brimonidine tartrate.
A Novel Approach To Predict Glaucomatous Impairment in the Central 10° Visual Field, Excluding the Effect of Cataract.
Accurate prediction of genuine glaucomatous VF impairment was achieved using pointwise TD with RFM. No merit was observed by incorporating the GCIPL into this model.
Reply.
Adjusting Circumpapillary Retinal Nerve Fiber Layer Profile Using Retinal Artery Position Improves the Structure-Function Relationship in Glaucoma.
Correcting cpRNFL profile, using the retinal artery position significantly strengthened the structure-function relationship. In most optic disc sectors, using the papillomacular bundle tilt improved cpRNFL thickness measurements.
Evaluation of Glaucoma Progression in Large-Scale Clinical Data: The Japanese Archive of Multicentral Databases in Glaucoma (JAMDIG).
Age and the degree of VF damage were related to future progression.
How Many Visual Fields Are Required to Precisely Predict Future Test Results in Glaucoma Patients When Using Different Trend Analyses?
Approximately 10 VFs, are needed to achieve an accurate prediction of PW VF sensitivity and mean sensitivity.
Applying "Lasso" Regression to Predict Future Visual Field Progression in Glaucoma Patients.
Prediction errors using OLSLR are large when only a small number of VFs are included in the regression. Lasso regression offers much more accurate predictions, especially in short VF series.