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Titlebook: Image Analysis and Processing – ICIAP 2022; 21st International C Stan Sclaroff,Cosimo Distante,Federico Tombari Conference proceedings 2022

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Unsupervised Deformable Image Registration in a Landmark Scarcity Scenario: Choroid OCTAmall dark areas represents the absence of flow, called flow voids. The distribution of flow voids can be used as a biomarker to diagnose and monitor the progression of relevant pathologies or the efficacy of applied treatments. A pixel-to-pixel comparison can help to carry out this monitoring effect
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Leveraging CycleGAN in Lung CT Sinogram-free Kernel Conversionfortunately, lung CT effectiveness can be strongly impacted by the considered reconstruction kernel. This selection is (almost) final, implying that it is no longer possible to change the used reconstruction kernel once applied, unless a sinogram for the conversion is available. The aim of this pape
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Investigating One-Class Classifiers to Diagnose Alzheimer’s Disease from HandwritingParkinson’s. Departing from the current state-of-the-art methods that approach the problem of discriminating between healthy subjects and patients by using two- or multi-class classifiers, we propose to adopt one-class classifier models, as they require only data by healthy subjects to build the cla
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Machine Learning to Predict Cognitive Decline of Patients with Alzheimer’s Disease Using EEG Markers the first stage of the disease allows clinicians to alleviate its burden. Clinicians evaluate individuals’ cognitive decline by using neuropsychological tests consisting of different sections, each devoted to testing a specific set of cognitive skills. In this paper, we present the results of a pre
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Improving AMD Diagnosis by the Simultaneous Identification of Associated Retinal Lesionsence is increasing due to the global population ageing. In this scenario, early detection is crucial to avert later vision impairment. Nonetheless, implementing large-scale screening programmes is usually not viable, since the population at-risk is large and the analysis must be performed by expert
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