0000000000791171

AUTHOR

Pascual Marco

showing 4 related works from this author

Impact of Sars-CoV2 Infection on 491 Hematological Patients: The Ecovidehe Multicenter Study

2020

INTRODUCTION Coronavirus disease 2019 (COVID-19) caused by SARS-CoV2 virus is thought to be more severe in patients with prior hematological diseases. There is evidence suggesting that hematological patients are particularly vulnerable and have a higher risk of developing severe events, with higher mortality rate than general population. However, the available data are limited, and prognostic factors at admission still remain unclear. With this background, our aims were to analyze the impact of hematological diseases and their therapy on the COVID-19 severity and to identify clinical and biological risk factors to predict the outcome in these patients. METHODS We carried out a multicenter …

medicine.medical_specialtyeducation.field_of_studybusiness.industryMortality rateImmunologyPopulation203.Lymphocytes Lymphocyte Activation and Immunodeficiency including HIV and Other InfectionsRetrospective cohort studyCell BiologyHematologyDiseasemedicine.diseaseBiochemistryComorbidityMulticenter studyInternal medicineIntensive caremedicineIn patienteducationbusinessBlood
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Macular edema computer-aided evaluation in ocular vein occlusions.

1998

This paper is concerned with the use of digital fundus imaging to detect, quantify, and follow up macular angiographic leakage due to retinal vein occlusions. Images were matched automatically. We detected those pixels with a high increment in gray level within the closest area to the foveal center. Binary images displaying leakage were obtained. The procedure was checked against two observers' agreement. Twenty-one angiographic studies were collected. Two images of each sequence were selected for digitalization. Numerical descriptors of the leakage were proposed and quantification plots were designed for each pair of images. Interobserver concordance ranged between 82 and 98% when manually…

Adultmedicine.medical_specialtyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMedicine (miscellaneous)Capillary PermeabilityFovealOcclusionRetinal Vein OcclusionmedicineEdemaHumansMacula LuteaDiagnosis Computer-AssistedFluorescein AngiographyMacular edemaObserver VariationPixelmedicine.diagnostic_testbusiness.industryBinary imagemedicine.diseaseFluorescein angiographyPrognosisEvaluation Studies as TopicMaculopathyFemaleRadiologybusinessRetinopathyComputers and biomedical research, an international journal
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Semi-automated evaluation tool for retinal vasculopathy.

2009

The ocular fundus is the only area of human body where vascular system is visible using relatively simple instrumentation. Furthermore, there is medical suggestive evidence of a direct relationship between certain measures of vascular characteristics in the ocular fundus (arteriolar and venular calibers and focal arteriolar narrowing) and cardiovascular diseases. In order to establish such relationship on sound statistical basis a method must be provided to measure the needed values in an easy, yet precise and repeatable way. This paper presents a system to assist physicians in signaling and storing the data associated to signs of vascular deterioration and vascular calibers in non-mydriati…

Computer scienceHealth InformaticsFundus (eye)Sensitivity and SpecificityPattern Recognition AutomatedUser-Computer InterfaceRetinal DiseasesArtificial IntelligenceImage Interpretation Computer-AssistedmedicinePhotographyHumansComputer visionInstrumentation (computer programming)Vascular DiseasesRetinoscopymedicine.diagnostic_testbusiness.industryPhotographyReproducibility of ResultsRetinal Vesselseye diseasesComputer Science ApplicationsRetinal vasculopathyArtificial intelligencebusinessAlgorithmsSoftwareRetinoscopyComputer methods and programs in biomedicine
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Irregular motion recovery in fluorescein angiograms

1997

Abstract Fluorescein angiography is a common procedure in ophthalmic practice, mainly to evaluate vascular retinopathies and choroidopathies from sequences of ocular fundus images. In order to compare the images, a reliable overlying is essential. This paper proposes some methods for the recovery of irregular motion in fluorescein angiograms (FA). The overlying is done by a three step procedure: detection of relevant points, matching points from different images and estimation of the assumed linear geometric transformation. A stochastic model (closely related to the general linear model) allows to fuse the second and third steps. Two different estimators of the geometric transformation are …

General linear modelMatching (graph theory)Mean squared errormedicine.diagnostic_testbusiness.industryGeometric transformationEstimatorFluorescein angiographyTransformation (function)Artificial IntelligenceMotion estimationSignal ProcessingmedicineComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareMathematicsPattern Recognition Letters
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