Matsuura Masato

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.

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.

Association between Corneal Biomechanical Properties with Ocular Response Analyzer and Also CorvisST Tonometry, and Glaucomatous Visual Field Severity.

Glaucomatous VF severity was best described by both ORA and CST parameters.

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.

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.

The association between ocular surface measurements with visual field reliability indices and gaze tracking results in preperimetric glaucoma.

SPK is associated with increased frequency of eye movements (moveand move).

Comment on Cataract Surgery and Rate of Visual Field Progression in Primary Open-Angle Glaucoma.

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.

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.

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Developing an Item Bank to Measure Quality of Life in Individuals With Glaucoma, and the Results of the Interview With Patients: The Effect of Visual Function, Visual Field Progression Rate, Medical, and Surgical Treatments on Quality of Life.

A new item bank to measure QOL in glaucoma patients was developed and evaluated. Age and mTDinf were found to be related to direct disability while medical and surgical treatments were related to indirect disability.

Estimating the Binocular Visual Field of Glaucoma Patients With an Adjustment for Ocular Dominance.

The most accurate estimation of binocular sensitivity was achieved using the linear monocular sensitivity summation model adjusted for ocular dominance.

The Relationship Between Visual Acuity and the Reproducibility of Visual Field Measurements in Glaucoma Patients.

Reproducibility of VF tests becomes poor with the deterioration of VA. Careful consideration is needed when a patient's logMAR VA exceeds 0.5.