4 citations · 7 across the 7 of their papers we have counts for
7 papers
AI to Identify Strain-sensitive Regions of the Optic Nerve Head Linked to Functional Loss in Glaucoma
Thanadet Chuangsuwanich, Monisha E. Nongpiur, Fabian A. Braeu +8
Objective: (1) To assess whether ONH biomechanics improves prediction of three progressive visual field loss patterns in glaucoma; (2) to use explainable AI to identify strain-sens…
Introducing the Biomechanics-Function Relationship in Glaucoma: Improved Visual Field Loss Predictions from intraocular pressure-induced Neural Tissue Strains
Thanadet Chuangsuwanich, Monisha E. Nongpiur, Fabian A. Braeu +8
Objective. (1) To assess whether neural tissue structure and biomechanics could predict functional loss in glaucoma; (2) To evaluate the importance of biomechanics in making such p…
Are Macula or Optic Nerve Head Structures better at Diagnosing Glaucoma? An Answer using AI and Wide-Field Optical Coherence Tomography
Charis Y. N. Chiang, Fabian Braeu, Thanadet Chuangsuwanich +6
Purpose: (1) To develop a deep learning algorithm to automatically segment structures of the optic nerve head (ONH) and macula in 3D wide-field optical coherence tomography (OCT) s…
AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding Biomechanical Testing
Fabian A. Braeu, Thanadet Chuangsuwanich, Tin A. Tun +4
: To use artificial intelligence (AI) to: (1) exploit biomechanical knowledge of the optic nerve head (ONH) from a relatively large population; (2) assess ONH rob…
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…