0000000000367312

AUTHOR

Jean Paul Beregi

showing 2 related works from this author

CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

2022

[EN] The CHAIMELEON project aims to set up a pan-European repository of health imaging data, tools and methodologies, with the ambition to set a standard and provide resources for future AI experimentation for cancer management. The project is a 4 year long, EU-funded project tackling some of the most ambitious research in the fields of biomedical imaging, artificial intelligence and cancer treatment, addressing the four types of cancer that currently have the highest prevalence worldwide: lung, breast, prostate and colorectal. To allow this, clinical partners and external collaborators will populate the repository with multimodality (MR, CT, PET/CT) imaging and related clinical data. Subse…

Imatges tridimensionals en medicinaCancer ResearchINFORMATIONARTIFICIAL-INTELLIGENCEIntel·ligència artificialArtificial intelligence (AI)radiologyddc:cancer imagingcancer managementComputingMethodologies_PATTERNRECOGNITIONOncologyimage harmonizationartificial intelligence-AI cancer imaging cancer management image harmonization quantitative imaging biomarkers radiologyCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALartificial intelligence-AI; cancer imaging; cancer management; image harmonization; quantitative imaging biomarkers; radiologyartificial intelligence-AI1112 Oncology and CarcinogenesisCàncerquantitative imaging biomarkers
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Impact of Thoracic Endografting on the Hemodynamics of the Native Aorta: Pre- and Postoperative Assessments of Wall Shear Stress and Vorticity Using …

2021

Purpose To quantify the hemodynamic consequences of thoracic endovascular aortic repair (TEVAR) by comparing the preoperative and postoperative wall shear stress (WSS) and vorticity profiles on computational fluid dynamics (CFD) simulations. Materials and Methods The pre- and postoperative computed tomography (CT) scans from 20 consecutive patients (median age 69 years, range 20–87) treated for different thoracic aortic pathologies (11 aneurysms, 5 false aneurysms, 3 penetrating ulcers, and 1 traumatic aortic rupture) were segmented to construct patient-specific CFD models using a meshless code. The simulations were run over the cardiac cycle, and the WSS and vorticity values measured at th…

Adultmedicine.medical_specialty[SDV]Life Sciences [q-bio]HemodynamicsAorta Thoracic030204 cardiovascular system & hematologyComputational fluid dynamicsAortic repair030218 nuclear medicine & medical imaging03 medical and health sciencesYoung Adult0302 clinical medicinemedicine.arteryInternal medicineShear stressmedicineThoracic aortaHumansRadiology Nuclear Medicine and imagingComputingMilieux_MISCELLANEOUSAortaAgedAged 80 and overAortabusiness.industryHemodynamicsModels CardiovascularVorticityMiddle AgedTreatment Outcomecardiovascular systemCardiologyHydrodynamicsSurgeryStentsCardiology and Cardiovascular MedicinebusinessJournal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
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