activity
20172023
most citedAngle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network

81 citations · 108 across the 14 of their papers we have counts for

collaborators

14 papers

cs.LG2023★ 1 cited

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…

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★ 2 cited

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…

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…

eess.IV2020

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…

eess.IV2020

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.…

eess.IV2020★ 4 cited

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…

eess.IV2019

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…

cs.CV2019★ 81 cited

Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network

Huazhu Fu, Yanwu Xu, Stephen Lin +5

Irreversible visual impairment is often caused by primary angle-closure glaucoma, which could be detected via Anterior Segment Optical Coherence Tomography (AS-OCT). In this paper,…

cs.CV2018

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…

cs.CV2018★ 12 cited

Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT

Huazhu Fu, Yanwu Xu, Stephen Lin +5

A major cause of irreversible visual impairment is angle-closure glaucoma, which can be screened through imagery from Anterior Segment Optical Coherence Tomography (AS-OCT). Previo…

cs.CV2018★ 5 cited

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…

cs.LG2017

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…