5 citations · 21 across the 15 of their papers we have counts for
15 papers
The 3D Structural Phenotype of the Glaucomatous Optic Nerve Head and its Relationship with The Severity of Visual Field Damage
Fabian A. Braeu, Thanadet Chuangsuwanich, Tin A. Tun +8
: To describe the 3D structural changes in both connective and neural tissues of the optic nerve head (ONH) that occur concurrently at different stages of glaucoma us…
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…
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…
3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen
Michaël J. A. Girard, Satish K. Panda, Tin Aung Tun +7
Purpose: (1) To develop a deep learning algorithm to identify major tissue structures of the optic nerve head (ONH) in 3D optical coherence tomography (OCT) scans; (2) to exploit s…
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.…
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning
Sripad Krishna Devalla, Tan Hung Pham, Satish Kumar Panda +16
Since the introduction of optical coherence tomography (OCT), it has been possible to study the complex 3D morphological changes of the optic nerve head (ONH) tissues that occur al…
DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images
Haris Cheong, Sripad Krishna Devalla, Tan Hung Pham +9
Purpose: To remove retinal shadows from optical coherence tomography (OCT) images of the optic nerve head(ONH). Methods:2328 OCT images acquired through the center of the ONH using…
Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images
Tan Hung Pham, Sripad Krishna Devalla, Aloysius Ang +6
Accurate isolation and quantification of intraocular dimensions in the anterior segment (AS) of the eye using optical coherence tomography (OCT) images is important in the diagnosi…
A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head
Sripad Krishna Devalla, Giridhar Subramanian, Tan Hung Pham +7
Purpose: To develop a deep learning approach to de-noise optical coherence tomography (OCT) B-scans of the optic nerve head (ONH). Methods: Volume scans consisting of 97 horizontal…
DRUNET: A Dilated-Residual U-Net Deep Learning Network to Digitally Stain Optic Nerve Head Tissues in Optical Coherence Tomography Images
Sripad Krishna Devalla, Prajwal K. Renukanand, Bharathwaj K. Sreedhar +8
Given that the neural and connective tissues of the optic nerve head (ONH) exhibit complex morphological changes with the development and progression of glaucoma, their simultaneou…
A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head
Sripad Krishna Devalla, Jean-Martial Mari, Tin A. Tun +4
Purpose: To develop a deep learning approach to digitally-stain optical coherence tomography (OCT) images of the optic nerve head (ONH). Methods: A horizontal B-scan was acquired t…