activity
20172021
most citedRetinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network

26 citations · 44 across the 5 of their papers we have counts for

collaborators

6 papers

eess.IV20211 cited

Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography

Ricky Chen, Timothy T. Yu, Gavin Xu +3

With the FDA approval of Artificial Intelligence (AI) for point-of-care clinical diagnoses, model generalizability is of the utmost importance as clinical decision-making must be d…

eess.IV20201 cited

Pseudo-real-time retinal layer segmentation for high-resolution adaptive optics optical coherence tomography

Worawee Janpongsri, Joey Huang, Ringo Ng +3

We present a pseudo-real-time retinal layer segmentation for high-resolution Sensorless Adaptive Optics-Optical Coherence Tomography (SAO-OCT). Our pseudo-real-time segmentation me…

eess.IV2020

Microvasculature Segmentation and Inter-capillary Area Quantification of the Deep Vascular Complex using Transfer Learning

Julian Lo, Morgan Heisler, Vinicius Vanzan +6

Purpose: Optical Coherence Tomography Angiography (OCT-A) permits visualization of the changes to the retinal circulation due to diabetic retinopathy (DR), a microvascular complica…

eess.IV20193 cited

Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence

Donghuan Lu, Morgan Heisler, Da Ma +5

Optical coherence tomography (OCT) is a non-invasive imaging technology which can provide micrometer-resolution cross-sectional images of the inner structures of the eye. It is wid…

eess.IV201913 cited

Deep learning vessel segmentation and quantification of the foveal avascular zone using commercial and prototype OCT-A platforms

Morgan Heisler, Forson Chan, Zaid Mammo +15

Automatic quantification of perifoveal vessel densities in optical coherence tomography angiography (OCT-A) images face challenges such as variable intra- and inter-image signal to…

cs.CV201726 cited

Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network

Donghuan Lu, Morgan Heisler, Sieun Lee +3

As a non-invasive imaging modality, optical coherence tomography (OCT) can provide micrometer-resolution 3D images of retinal structures. Therefore it is commonly used in the diagn…