35 citations · 80 across the 10 of their papers we have counts for
7 papers · 1 filter
Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning
Timothy T. Yu, Da Ma, Jayden Cole +3
Optical coherence tomography (OCT) captures cross-sectional data and is used for the screening, monitoring, and treatment planning of retinal diseases. Technological developments t…
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks
Shuo Chen, Da Ma, Sieun Lee +7
Optical Coherence Tomography(OCT) is a non-invasive technique capturing cross-sectional area of the retina in micro-meter resolutions. It has been widely used as a auxiliary imagin…
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…
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…
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…
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…
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…