Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images

No abstract is available for this paper.

• Publication year

  2017

• Venue

  IEEE Transactions on Medical Imaging

• Publication date

  2017-05-02

• Fields of study

  Medicine, Computer Science, Mathematics

• Identifiers
  DOI 10.1109/TMI.2017.2700213PMID 28475051
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Variable Selection

  2019cited by this paper
• A paradigm shift in imaging biomarkers in neovascular age-related macular degeneration.

  2016cited by this paper
• Automated Fovea Detection in Spectral Domain Optical Coherence Tomography Scans of Exudative Macular Disease

  2016cited by this paper
• Fully Automated Prediction of Geographic Atrophy Growth Using Quantitative Spectral-Domain Optical Coherence Tomography Biomarkers.

  2016cited by this paper
• Endophthalmitis following intravitreal anti-vascular endothelial growth factor (VEGF) injection: a comprehensive review

  2015cited by this paper
• Spatio-Temporal Signatures to Predict Retinal Disease Recurrence

  2015cited by this paper
• Statistical Learning with Sparsity: The Lasso and Generalizations

  2015influential reference
• Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

  2014cited by this paper
• Quantitative SD-OCT imaging biomarkers as indicators of age-related macular degeneration progression.

  2014cited by this paper
• Easy Hyperparameter Search Using Optunity

  2014cited by this paper
• Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry

  2014cited by this paper
• Prediction of treatment response from retinal OCT in patients with exudative age-related macular degeneration

  2014cited by this paper
• Stable registration of pathological 3D-OCT scans using retinal vessels

  2014cited by this paper
• Classification Forests for Semantic Segmentation of Brain Lesions in Multi-channel MRI

  2013cited by this paper
• Predicting Cognitive Data from Medical Images Using Sparse Linear Regression

  2013cited by this paper
• Preparing for precision medicine.

  2012cited by this paper
• Model sparsity and brain pattern interpretation of classification models in neuroimaging

  2012influential reference
• pROC: an open-source package for R and S+ to analyze and compare ROC curves

  2011cited by this paper
• Detecting stable distributed patterns of brain activation using Gini contrast

  2011cited by this paper
• Automated Diagnosis of Glaucoma Using Texture and Higher Order Spectra Features

  2011cited by this paper
• Treatment of macular edema due to retinal vein occlusions

  2011cited by this paper
• Scikit-learn: Machine Learning in Python

  2011cited by this paper
• Sustained benefits from ranibizumab for macular edema following branch retinal vein occlusion: 12-month outcomes of a phase III study.

  2011cited by this paper
• The burden of disease of retinal vein occlusion: review of the literature

  2011cited by this paper
• Sustained benefits from ranibizumab for macular edema following central retinal vein occlusion: twelve-month outcomes of a phase III study.

  2011cited by this paper
• The prevalence of retinal vein occlusion: pooled data from population studies from the United States, Europe, Asia, and Australia.

  2010cited by this paper
• Regularization Paths for Generalized Linear Models via Coordinate Descent.

  2010cited by this paper
• Point Set Registration: Coherent Point Drift

  2009cited by this paper
• Prediction and interpretation of distributed neural activity with sparse models

  2009cited by this paper
• Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images

  2009cited by this paper
• Long-term follow-up of OCT-guided bevacizumab treatment of macular edema due to retinal vein occlusion

  2009cited by this paper
• Calibration of fundus images using spectral domain optical coherence tomography.

  2008cited by this paper
• Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

  2007cited by this paper
• Network-based de-noising improves prediction from microarray data

  2006cited by this paper
• EGFR Activation and Ultraviolet Light-Induced Skin Carcinogenesis

  2006cited by this paper
• Extremely randomized trees

  2006influential reference
• An introduction to ROC analysis

  2006cited by this paper
• The elements of statistical learning: data mining, inference and prediction

  2005cited by this paper
• Determination of the location of the fovea on the fundus.

  2004cited by this paper
• Missing value estimation methods for DNA microarrays

  2001cited by this paper
• Random Forests

  2001cited by this paper
• Completely Derandomized Self-Adaptation in Evolution Strategies

  2001cited by this paper
• On the LASSO and its Dual

  2000cited by this paper
• Muliscale Vessel Enhancement Filtering

  1998cited by this paper
• Two-sided confidence intervals for the single proportion: comparison of seven methods.

  1998cited by this paper
• Association of elevated serum lipid levels with retinal hard exudate in diabetic retinopathy. Early Treatment Diabetic Retinopathy Study (ETDRS) Report 22.

  1996cited by this paper
• Regression Shrinkage and Selection via the Lasso

  1996cited by this paper
• Measurement of intraocular distances by backscattering spectral interferometry

  1995cited by this paper
• A RANSAC-Based Approach to Model Fitting and Its Application to Finding Cylinders in Range Data

  1981cited by this paper

• Vitreoretinal disease detection using artificial intelligence: a systematic review and meta-analysis

  2026cites this paper
• Current Understanding of Retinal Vein Thrombosis in Older Adults: A Review of the Literature

  2025cites this paper
• Chronological Registration of OCT and Autofluorescence Findings in CSCR: Two Distinct Patterns in Disease Course

  2022cites this paper
• Detection of diabetic retinopathy and related retinal disorders using fundus images based on deep learning and image processing techniques: A comprehensive review

  2022cites this paper
• Treatment responses for branch retinal vein occlusion predicted by semi-automated fluorescein angiography quantification

  2022cites this paper
• Recent trends and advances in fundus image analysis: A review

  2022cites this paper
• GLCM and statistical features extraction technique with Extra-Tree Classifier in Macular Oedema risk diagnosis

  2022cites this paper
• Machine learning-based prediction of anatomical outcome after idiopathic macular hole surgery

  2021influential citation
• Classification of good visual acuity over time in patients with branch retinal vein occlusion with macular edema using support vector machine

  2021cites this paper
• Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN

  2021cites this paper
• Spatio-temporal alterations in retinal and choroidal layers in the progression of age-related macular degeneration (AMD) in optical coherence tomography

  2021cites this paper
• Adaptive Dictionary Learning Based Multimodal Branch Retinal Vein Occlusion Fusion

  2020cites this paper
• Deep learning-based single-shot prediction of differential effects of anti-VEGF treatment in patients with diabetic macular edema.

  2020cites this paper
• Fast and robust fovea detection framework for OCT images based on foveal avascular zone segmentation

  2020cites this paper
• Characterization of Drusen and Hyperreflective Foci as Biomarkers for Disease Progression in Age-Related Macular Degeneration Using Artificial Intelligence in Optical Coherence Tomography.

  2020cites this paper
• Künstliche Intelligenz zum Management von Makulaödemen

  2020cites this paper
• Spatial and spatio-temporal statistical analyses of retinal images: a review of methods and applications

  2020cites this paper
• Quantification of Fluid Resolution and Visual Acuity Gain in Patients With Diabetic Macular Edema Using Deep Learning: A Post Hoc Analysis of a Randomized Clinical Trial.

  2020cites this paper
• End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging

  2020cites this paper
• Continuous Learning AI in Radiology: Implementation Principles and Early Applications.

  2020cites this paper
• Spatial Linear Mixed Effects Modelling for OCT Images: SLME Model

  2020cites this paper
• A Systematic Literature Review of Machine Learning-Based Disease Profiling and Personalized Treatment

  2020influential citation
• The impact of structural optical coherence tomography changes on visual function in retinal vein occlusion

  2020cites this paper
• A multi-center study of prediction of macular hole status after vitrectomy and internal limiting membrane peeling by a deep learning model

  2020cites this paper
• Artificial Intelligence in the Assessment of Macular Disorders

  2020cites this paper
• OCTA-500: A retinal dataset for optical coherence tomography angiography study

  2020cites this paper
• Automated OCT angiography image quality assessment using a deep learning algorithm

  2019cites this paper
• Multimodal OCT Reflectivity Analysis of the Cystoid Spaces in Cystoid Macular Edema

  2019cites this paper
• RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

  2019cites this paper
• Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning

  2019cites this paper
• OCT fluid detection and quantification

  2019cites this paper
• Spatial Modelling of Retinal Thickness in Images from Patients with Diabetic Macular Oedema

  2019cites this paper
• Guidelines for the Management of Retinal Vein Occlusion by the European Society of Retina Specialists (EURETINA)

  2019cites this paper
• Modeling and Prediction of Choroidal Neovascularization Growth Based on Longitudinal OCT Scans

  2019cites this paper
• Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT

  2019cites this paper
• Unsupervised Representation Learning of Dynamic Retinal Image Changes by Predicting the Follow-up Image

  2018cites this paper
• Screening und Management retinaler Erkrankungen mittels digitaler Medizin

  2018cites this paper
• Detection of Lung Contour with Closed Principal Curve and Machine Learning

  2018cites this paper
• Clinical efficacy evaluation of treatment of different degrees of retinal vein occlusion with ranibizumab combined with an argon ion laser

  2018cites this paper
• Artificial intelligence in retina.

  2018cites this paper
• Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning

  2018cites this paper