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

[1]  Rishab Gargeya,et al.  Automated Identification of Diabetic Retinopathy Using Deep Learning. , 2017, Ophthalmology.

[2]  Aaron Y. Lee,et al.  Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration , 2016, bioRxiv.

[3]  U. Schmidt-Erfurth,et al.  A view of the current and future role of optical coherence tomography in the management of age-related macular degeneration , 2017, Eye.

[4]  M. Abràmoff,et al.  Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning. , 2016, Investigative ophthalmology & visual science.

[5]  Georg Langs,et al.  Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer Annotation Performance Evaluation, and Standardized Evaluation Framework for Intraretinal Cystoid Fluid Segmentation , 2016, Journal of ophthalmology.

[6]  A. Loewenstein,et al.  Automated Identification of Lesion Activity in Neovascular Age-Related Macular Degeneration. , 2016, Ophthalmology.

[7]  Glenn J Jaffe,et al.  Five-Year Outcomes with Anti-Vascular Endothelial Growth Factor Treatment of Neovascular Age-Related Macular Degeneration: The Comparison of Age-Related Macular Degeneration Treatments Trials. , 2016, Ophthalmology.

[8]  Glenn J Jaffe,et al.  Morphology and Visual Acuity in Aflibercept and Ranibizumab Therapy for Neovascular Age-Related Macular Degeneration in the VIEW Trials. , 2016, Ophthalmology.

[9]  Liang Liu,et al.  Automated volumetric segmentation of retinal fluid on optical coherence tomography. , 2016, Biomedical optics express.

[10]  Robyn H. Guymer,et al.  The role of sub-retinal fluid in determining treatment outcomes in patients with neovascular age-related macular degeneration - a phase IV randomised clinical trial with ranibizumab: the FLUID study , 2016, BMC Ophthalmology.

[11]  S. Pimentel,et al.  Prevalence of outer retinal tubulation in eyes with choroidal neovascularization , 2016, International Journal of Retina and Vitreous.

[12]  U. Schmidt-Erfurth,et al.  Correlation of 3-Dimensionally Quantified Intraretinal and Subretinal Fluid With Visual Acuity in Neovascular Age-Related Macular Degeneration. , 2016, JAMA ophthalmology.

[13]  U. Schmidt-Erfurth,et al.  A paradigm shift in imaging biomarkers in neovascular age-related macular degeneration , 2016, Progress in Retinal and Eye Research.

[14]  Glenn J Jaffe,et al.  Macular Morphology and Visual Acuity in the Second Year of the Comparison of Age-Related Macular Degeneration Treatments Trials. , 2014, Ophthalmology.

[15]  Colin Raffel,et al.  Lasagne: First release. , 2015 .

[16]  Carsten Framme,et al.  TREAT-AND-EXTEND REGIMENS WITH ANTI-VEGF AGENTS IN RETINAL DISEASES: A Literature Review and Consensus Recommendations , 2015, Retina.

[17]  P. Campochiaro,et al.  Predictors of Functional and Anatomic Outcomes in Patients with Diabetic Macular Edema Treated with Ranibizumab. , 2015, Ophthalmology.

[18]  Sandra S Stinnett,et al.  IDENTIFICATION OF FLUID ON OPTICAL COHERENCE TOMOGRAPHY BY TREATING OPHTHALMOLOGISTS VERSUS A READING CENTER IN THE COMPARISON OF AGE-RELATED MACULAR DEGENERATION TREATMENTS TRIALS , 2015, Retina.

[19]  Georg Langs,et al.  Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks , 2015, IPMI.

[20]  Christian Simader,et al.  Pigment epithelial detachment followed by retinal cystoid degeneration leads to vision loss in treatment of neovascular age-related macular degeneration. , 2015, Ophthalmology.

[21]  Sina Farsiu,et al.  Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema. , 2015, Biomedical optics express.

[22]  Milan Sonka,et al.  Stratified Sampling Voxel Classification for Segmentation of Intraretinal and Subretinal Fluid in Longitudinal Clinical OCT Data , 2015, IEEE Transactions on Medical Imaging.

[23]  N. Bressler,et al.  Intravitreal Ranibizumab for diabetic macular edema with prompt versus deferred laser treatment: 5-year randomized trial results. , 2015, Ophthalmology.

[24]  U. Schmidt-Erfurth,et al.  Morphological parameters relevant for visual and anatomic outcomes during anti-VEGF therapy of diabetic macular edema in the RESTORE trial , 2014 .

[25]  Milan Sonka,et al.  Quantification of external limiting membrane disruption caused by diabetic macular edema from SD-OCT. , 2012, Investigative ophthalmology & visual science.

[26]  Amy L. Oldenburg,et al.  Automated Segmentation of Intraretinal Cystoid Fluid in Optical Coherence Tomography , 2012, IEEE Transactions on Biomedical Engineering.

[27]  E. Souied,et al.  Cystoid macular degeneration in exudative age-related macular degeneration. , 2011, American journal of ophthalmology.

[28]  C. Regillo,et al.  A treat and extend regimen using ranibizumab for neovascular age-related macular degeneration clinical and economic impact. , 2010, Ophthalmology.

[29]  Xiaodong Wu,et al.  Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images , 2009, IEEE Transactions on Medical Imaging.

[30]  Delia Cabrera Fernandez,et al.  Delineating fluid-filled region boundaries in optical coherence tomography images of the retina , 2005, IEEE Transactions on Medical Imaging.

[31]  J. Fujimoto,et al.  Optical Coherence Tomography , 1991, LEOS '92 Conference Proceedings.

[32]  W. Youden,et al.  Index for rating diagnostic tests , 1950, Cancer.