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most citedExplainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning

4 citations · 7 across the 7 of their papers we have counts for

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5 papers · 1 filter

eess.IV2024

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…

eess.IV2022

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…

eess.IV2022

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…

eess.IV2022★ 3 cited

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…

eess.IV2021

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…