4 citations · 4 across the 3 of their papers we have counts for
4 papers
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 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…