26 citations · 42 across the 3 of their papers we have counts for
3 papers
eess.IV2019★ 3 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.IV2019★ 13 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.CV2017★ 26 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…