Michael J. A. Girard

According to our database1, Michael J. A. Girard authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Introducing the Biomechanics-Function Relationship in Glaucoma: Improved Visual Field Loss Predictions from intraocular pressure-induced Neural Tissue Strains.
CoRR, 2024

3D Growth and Remodeling Theory Supports the Hypothesis of Staphyloma Formation from Local Scleral Weakening under Normal Intraocular Pressure.
CoRR, 2024

2023
The 3D Structural Phenotype of the Glaucomatous Optic Nerve Head and its Relationship with The Severity of Visual Field Damage.
CoRR, 2023

2022
Are Macula or Optic Nerve Head Structures better at Diagnosing Glaucoma? An Answer using AI and Wide-Field Optical Coherence Tomography.
CoRR, 2022

AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding Biomechanical Testing.
CoRR, 2022

Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma.
CoRR, 2022

Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis.
CoRR, 2022

Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning.
CoRR, 2022

2021
3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen.
CoRR, 2021

The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker.
CoRR, 2021

Explainable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning.
Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021

2020
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence.
CoRR, 2020

OCT-GAN: Single Step Shadow and Noise Removal from Optical Coherence Tomography Images of the Human Optic Nerve Head.
CoRR, 2020

Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning.
CoRR, 2020

2019
DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images.
CoRR, 2019

Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images.
CoRR, 2019

2018
A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head.
CoRR, 2018

DRUNET: A Dilated-Residual U-Net Deep Learning Network to Digitally Stain Optic Nerve Head Tissues in Optical Coherence Tomography Images.
CoRR, 2018

2017
A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head.
CoRR, 2017


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