4 citations · 13 across the 8 of their papers we have counts for
12 papers
Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis
Fabian A. Braeu, Alexandre H. Thiéry, Tin A. Tun +4
Purpose: The optic nerve head (ONH) undergoes complex and deep 3D morphological changes during the development and progression of glaucoma. Optical coherence tomography (OCT) is th…
Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma
Alexandre H. Thiery, Fabian Braeu, Tin A. Tun +2
Purpose: (1) To assess the performance of geometric deep learning (PointNet) in diagnosing glaucoma from a single optical coherence tomography (OCT) 3D scan of the optic nerve head…
Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning
Se-In Jang, Michael J. A. Girard, Alexandre H. Thiery
In this paper, we propose an explainable and interpretable diabetic retinopathy (ExplainDR) classification model based on neural-symbolic learning. To gain explainability, a highle…
The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker
Satish K. Panda, Haris Cheong, Tin A. Tun +10
Purpose: To assess whether the three-dimensional (3D) structural configuration of the central retinal vessel trunk and its branches (CRVT&B) could be used as a diagnostic marker fo…
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence
Satish K. Panda, Haris Cheong, Tin A. Tun +8
The optic nerve head (ONH) typically experiences complex neural- and connective-tissue structural changes with the development and progression of glaucoma, and monitoring these cha…
OCT-GAN: Single Step Shadow and Noise Removal from Optical Coherence Tomography Images of the Human Optic Nerve Head
Haris Cheong, Sripad Krishna Devalla, Thanadet Chuangsuwanich +8
Speckle noise and retinal shadows within OCT B-scans occlude important edges, fine textures and deep tissues, preventing accurate and robust diagnosis by algorithms and clinicians.…