2022
Deep learning for quality assessment of optical coherence tomography angiography images
Dhodapkar RM, Li E, Nwanyanwu K, Adelman R, Krishnaswamy S, Wang JC. Deep learning for quality assessment of optical coherence tomography angiography images. Scientific Reports 2022, 12: 13775. PMID: 35962007, PMCID: PMC9374672, DOI: 10.1038/s41598-022-17709-8.Peer-Reviewed Original ResearchConceptsImage identificationDeep learning-based systemLearning-based systemNeural network classifierLow-quality imagesSupervised learning modelNeural network modelImage qualityHigh-quality imagesMachine learningNetwork classifierLearning modelGround truthNetwork modelCurve metricsOptical coherence tomography angiography (OCTA) imagesImagesSignal strengthOptical coherence tomography angiographyTomography angiography imagesAngiography imagesQuality assessmentRobust methodImageNetClassifier
2012
Temporal Expectation Improves the Quality of Sensory Information
Rohenkohl G, Cravo A, Wyart V, Nobre A. Temporal Expectation Improves the Quality of Sensory Information. Journal Of Neuroscience 2012, 32: 8424-8428. PMID: 22699922, PMCID: PMC4235252, DOI: 10.1523/jneurosci.0804-12.2012.Peer-Reviewed Original ResearchConceptsTemporal expectationsQuality of sensory informationVisual targetModulate visual perceptionSensory informationVisual perceptionRhythmic temporal expectationRelevant sensory informationAction preparationPerceptual processingSensory evidenceAttentional focusOptimal information processingPsychophysical paradigmInformation processingOrientation discriminationPsychometric functionsVisual gratingsTemporal regularityReaction timeExternal eventsIrregular conditionsTemporal structureContrast sensitivitySignal strength
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