0000000000420007

AUTHOR

Karim Lekadir

showing 2 related works from this author

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

2018

Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish diagnosis. The automation of the corresponding tasks has thus been the subject of intense research over the past decades. In this paper, we introduce the “Automatic Cardiac Diagnosis Challenge” dataset (ACDC), the largest publicly available and fully annotated dataset for the purpose of cardiac MRI (CMR) assessment. The dataset contains data from 150 multi-equipments CMRI recordings with reference measurements and classification from two medical experts. The overarching objective of this paper is to measure how f…

MaleDatabases FactualHeart DiseasesComputer science[SDV]Life Sciences [q-bio]Lleft and right ventricles030218 nuclear medicine & medical imagingTask (project management)Cardiac segmentation and diagnosis03 medical and health sciences0302 clinical medicineDeep LearningImage Interpretation Computer-AssistedmedicineMedical imagingHumansSegmentationElectrical and Electronic EngineeringRadiological and Ultrasound Technologymedicine.diagnostic_testbusiness.industryMyocardiumDeep learningMagnetic resonance imagingPattern recognitionHeartImage segmentationMagnetic Resonance ImagingComputer Science ApplicationsCardiac Imaging Techniquesmedicine.anatomical_structureVentricleFemaleArtificial intelligencebusinessCardiac magnetic resonanceLeft and right ventricles030217 neurology & neurosurgerySoftwareMRIIEEE transactions on medical imaging
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An atlas- and data-driven approach to initializing reaction-diffusion systems in computer cardiac electrophysiology

2016

The cardiac electrophysiology (EP) problem is governed by a nonlinear anisotropic reaction-diffusion system with a very rapidly varying reaction term associated with the transmembrane cell current. The nonlinearity associated with the cell models requires a stabilization process before any simulation is performed. More importantly, when used in a 3-dimensional (3D) anatomy, it is not sufficient to perform this stabilization on the basis of isolated cells only, since the coupling of the different cells through the tissue greatly modulates the dynamics of the system. Therefore, stabilization of the system must be performed on the entire 3D model. This work develops a novel procedure for the i…

Work (thermodynamics)Basis (linear algebra)Computer scienceCardiac electrophysiologyApplied Mathematics0206 medical engineeringBiomedical EngineeringInitialization02 engineering and technology030204 cardiovascular system & hematology020601 biomedical engineeringData-drivenModeling and simulation03 medical and health sciencesNonlinear system0302 clinical medicineComputational Theory and MathematicsControl theoryModeling and SimulationReaction–diffusion systemMolecular BiologyAlgorithmSoftwareInternational Journal for Numerical Methods in Biomedical Engineering
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