Imaging Features of Vessels and Leakage Patterns Predict Extended Interval Aflibercept Dosing Using Ultra-Widefield Angiography in Retinal Vascular Disease: Findings From the PERMEATE Study
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Prateek Prasanna | Anant Madabhushi | Justis P. Ehlers | Sunil K. Srivastava | Sumit Sharma | Azam Moosavi | Natalia Figueiredo
[1] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[2] Rob Fergus,et al. Stochastic Pooling for Regularization of Deep Convolutional Neural Networks , 2013, ICLR.
[3] J. Berlin,et al. Aflibercept—a Decoy VEGF Receptor , 2014, Current Oncology Reports.
[4] N. Bressler,et al. Prevalence of and risk factors for diabetic macular edema in the United States. , 2014, JAMA ophthalmology.
[5] M. Martinez-Castellanos,et al. Retinal fluorescein angiographic changes following intravitreal anti-VEGF therapy. , 2014, Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus.
[6] S. Wild,et al. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. , 2004, Diabetes care.
[7] Katherine E. Talcott,et al. Longitudinal Panretinal Leakage and Ischemic Indices in Retinal Vascular Disease after Aflibercept Therapy: The PERMEATE Study. , 2019, Ophthalmology. Retina.
[8] J. Duker,et al. Visualization of changes in the foveal avascular zone in both observed and treated diabetic macular edema using optical coherence tomography angiography , 2017, International Journal of Retina and Vitreous.
[9] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[10] Quan Dong Nguyen,et al. Ranibizumab for diabetic macular edema: results from 2 phase III randomized trials: RISE and RIDE. , 2012, Ophthalmology.
[11] Yoshua Bengio,et al. Maxout Networks , 2013, ICML.
[12] Enrico Grisan,et al. A Novel Method for the Automatic Grading of Retinal Vessel Tortuosity , 2008, IEEE Transactions on Medical Imaging.
[13] Abhishek Das,et al. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[14] Francesco Bandello,et al. The RESTORE study: ranibizumab monotherapy or combined with laser versus laser monotherapy for diabetic macular edema. , 2011, Ophthalmology.
[15] Christian Simader,et al. The Distribution of Leakage on Fluorescein Angiography in Diabetic Macular Edema: A New Approach to Its Etiology. , 2017, Investigative ophthalmology & visual science.
[16] Sina Farsiu,et al. A Quantitative Approach to Predict Differential Effects of Anti-VEGF Treatment on Diffuse and Focal Leakage in Patients with Diabetic Macular Edema: A Pilot Study , 2016, Translational vision science & technology.
[17] Michael H. Goldbaum,et al. Measurement and classification of retinal vascular tortuosity , 1999, Int. J. Medical Informatics.
[18] G. Bresnick. Diabetic maculopathy. A critical review highlighting diffuse macular edema. , 1983, Ophthalmology.
[19] J. Cunha-Vaz,et al. MEASUREMENTS OF RETINAL FLUID BY OPTICAL COHERENCE TOMOGRAPHY LEAKAGE IN DIABETIC MACULAR EDEMA: A Biomarker of Visual Acuity Response to Treatment , 2017, Retina.
[20] Dr. W. Lotmar,et al. Measurement of vessel tortuosity on fundus photographs , 1979, Albrecht von Graefes Archiv für klinische und experimentelle Ophthalmologie.
[21] Justis P. Ehlers,et al. Repeatability of automated leakage quantification and microaneurysm identification utilising an analysis platform for ultra-widefield fluorescein angiography , 2019, British Journal of Ophthalmology.
[22] K. G. Goh,et al. ADRIS : an Automatic Diabetic Retinal Image Screening system , 2001 .
[23] Einar Stefánsson,et al. Retinal vessel dilatation and elongation precedes diabetic macular oedema , 1997, The British journal of ophthalmology.
[24] Mitko Veta,et al. Approximation of a pipeline of unsupervised retina image analysis methods with a CNN , 2019, Medical Imaging: Image Processing.
[25] José Cunha-Vaz,et al. The Blood-Retinal Barrier in the Management of Retinal Disease: EURETINA Award Lecture , 2017, Ophthalmologica.
[26] J. Cunha-Vaz,et al. Mapping retinal fluorescein leakage with confocal scanning laser fluorometry of the human vitreous. , 1999, Archives of ophthalmology.
[27] Justis P. Ehlers,et al. Automated quantitative characterisation of retinal vascular leakage and microaneurysms in ultra-widefield fluorescein angiography , 2017, British Journal of Ophthalmology.
[28] Katherine E. Talcott,et al. Quantitative Ultra-Widefield Angiography and Diabetic Retinopathy Severity: An Assessment of Panretinal Leakage Index, Ischemic Index and Microaneurysm Count. , 2019, Ophthalmology.
[29] Yann LeCun,et al. Regularization of Neural Networks using DropConnect , 2013, ICML.
[30] Hamid Reza Pourreza,et al. A Novel Curvature-Based Algorithm for Automatic Grading of Retinal Blood Vessel Tortuosity , 2016, IEEE Journal of Biomedical and Health Informatics.
[31] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[32] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[33] Brendan J. Frey,et al. Adaptive dropout for training deep neural networks , 2013, NIPS.
[34] J. Bullard,et al. Numerical methods for computing interfacial mean curvature , 1995 .
[35] Derek Bradley,et al. Adaptive Thresholding using the Integral Image , 2007, J. Graph. Tools.
[36] Justis P. Ehlers,et al. Higher-Order Assessment of OCT in Diabetic Macular Edema from the VISTA Study: Ellipsoid Zone Dynamics and the Retinal Fluid Index. , 2019, Ophthalmology. Retina.
[37] Lloyd Paul Aiello,et al. Randomized trial evaluating ranibizumab plus prompt or deferred laser or triamcinolone plus prompt laser for diabetic macular edema , 2010, Ophthalmology.
[38] Matthias Schonlau,et al. The Clustergram: A Graph for Visualizing Hierarchical and Nonhierarchical Cluster Analyses , 2002 .