Deep learning based topology guaranteed surface and MME segmentation of multiple sclerosis subjects from retinal OCT

Retinal measurements predict 10-year disability in multiple sclerosis

(2019) Alissa Rothman et al.   Annals of Clinical and Translational Neurology

A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans

(2018) GN Girish et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning

(2018) Thomas Schlegl et al.   OPHTHALMOLOGY

Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT images

(2018) Abhay Shah et al.   Biomedical Optics Express

Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework

(2017) Sieun Lee et al.   MEDICAL IMAGE ANALYSIS

3D deeply supervised network for automated segmentation of volumetric medical images

(2017) Qi Dou et al.   MEDICAL IMAGE ANALYSIS

Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks

(2017) Freerk G. Venhuizen et al.   Biomedical Optics Express

Deep-learning based, automated segmentation of macular edema in optical coherence tomography

(2017) Cecilia S. Lee et al.   Biomedical Optics Express

ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks

(2017) Abhijit Guha Roy et al.   Biomedical Optics Express

Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search

(2017) Leyuan Fang et al.   Biomedical Optics Express

Retinal inner nuclear layer volume reflects response to immunotherapy in multiple sclerosis

(2016) Benjamin Knier et al.   BRAIN

Performance evaluation of automated segmentation software on optical coherence tomography volume data

(2016) Jing Tian et al.   Journal of Biophotonics

Loosely coupled level sets for simultaneous 3D retinal layer segmentation in optical coherence tomography

(2015) Jelena Novosel et al.   MEDICAL IMAGE ANALYSIS

Multiple-object geometric deformable model for segmentation of macular OCT

(2014) Aaron Carass et al.   Biomedical Optics Express

Automatic segmentation of microcystic macular edema in OCT

(2014) Andrew Lang et al.   Biomedical Optics Express

Comparative Diagnostic Accuracy of Ganglion Cell-Inner Plexiform and Retinal Nerve Fiber Layer Thickness Measures by Cirrus and Spectralis Optical Coherence Tomography in Relapsing-Remitting Multiple Sclerosis

(2014) Julio J. González-López et al.   Biomed Research International

Retinal layer segmentation of macular OCT images using boundary classification

(2013) Andrew Lang et al.   Biomedical Optics Express

Microcystic macular oedema in multiple sclerosis is associated with disease severity

(2012) J. M. Gelfand et al.   BRAIN

Microcystic macular oedema, thickness of the inner nuclear layer of the retina, and disease characteristics in multiple sclerosis: a retrospective study

(2012) Shiv Saidha et al.   LANCET NEUROLOGY

Active MS is associated with accelerated retinal ganglion cell/inner plexiform layer thinning

(2012) J. N. Ratchford et al.   NEUROLOGY

Primary retinal pathology in multiple sclerosis as detected by optical coherence tomography

(2011) Shiv Saidha et al.   BRAIN

Visual dysfunction in multiple sclerosis correlates better with optical coherence tomography derived estimates of macular ganglion cell layer thickness than peripapillary retinal nerve fiber layer thickness

(2011) Shiv Saidha et al.   Multiple Sclerosis Journal

Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation

(2010) Stephanie J. Chiu et al.   OPTICS EXPRESS

Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images

(2009) M.K. Garvin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING