Felicitas Bijari, PhD
Associate Research Scientist in Radiology and Biomedical ImagingDownloadHi-Res Photo
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Associate Research Scientist in Radiology and Biomedical Imaging
Appointments
Radiology & Biomedical Imaging
Associate Research ScientistPrimary
Other Departments & Organizations
- Bioimaging Sciences
- Center for Molecular Imaging Technology and Translation (CMITT)
- Positron Emission Tomography (PET)
- Radiology & Biomedical Imaging
Education & Training
- Postdoctoral Fellow
- Massachusetts General Hospital/Harvard Medical School (2021)
- PhD
- George Mason University, Bioengineering (2019)
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Felicitas Bijari's published research.
Publications Timeline
A big-picture view of Felicitas Bijari's research output by year.
Georges El Fakhri, PhD, DABR
Marc David Normandin, PhD
Chao Ma, PhD
Nicolas Guehl
Paul Han, PhD
Maeva Dhaynaut
18Publications
471Citations
Publications
2024
Free‐breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model
Lee W, Han P, Marin T, Mounime I, Eslahi S, Djebra Y, Chi D, Bijari F, Normandin M, Fakhri G, Ma C. Free‐breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model. Magnetic Resonance In Medicine 2024 PMID: 39402014, DOI: 10.1002/mrm.30284.Peer-Reviewed Original ResearchAltmetricConceptsExtracellular volume mappingContrast agent injectionExtracellular volumeGradient echo readoutECV mapsAgent injectionWhole heartEcho readoutExtracellular volume valuesVoxel-by-voxelInversion recovery sequenceSpatial resolutionScan timeImaging timeIn vivo studiesHealthy volunteersModel-based methodsRecovery sequenceInjectionReadout
2023
Injectable ice slurry for reducing pericardial adipose tissue
Shuhaiber J, Tuchayi S, Bijari F, Guehl N, Wang Y, Farinelli W, Arkun K, Fakhri G, Anderson R, Garibyan L. Injectable ice slurry for reducing pericardial adipose tissue. Lasers In Surgery And Medicine 2023, 55: 674-679. PMID: 37464943, DOI: 10.1002/lsm.23709.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPericardial adipose tissuePericardial adipose tissue volumeChest computed tomographyPAT volumeBaseline chest computed tomographyAnimal modelsSubcutaneous adipose tissue volumesCardiovascular diseaseHigh risk of cardiovascular diseaseAdipose tissueLow patient complianceRisk of cardiovascular diseaseWeight lossPreclinical large animal modelAdipose tissue volumeLarge animal modelBariatric surgeryComputed tomographyPatient complianceHigh riskNovel treatmentTreated groupCT imagesTissue volumeCryolipolysis
2022
PET imaging of mitochondrial function in acute doxorubicin-induced cardiotoxicity: a proof-of-principle study
Detmer F, Alpert N, Moon S, Dhaynaut M, Guerrero J, Guehl N, Xing F, Brugarolas P, Shoup T, Normandin M, Pelletier-Galarneau M, El Fakhri G, Petibon Y. PET imaging of mitochondrial function in acute doxorubicin-induced cardiotoxicity: a proof-of-principle study. Scientific Reports 2022, 12: 6122. PMID: 35414642, PMCID: PMC9005533, DOI: 10.1038/s41598-022-10004-6.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsLeft anterior descending coronary arteryDoxorubicin-induced cardiotoxicityCardiac membrane potentialDoxorubicin infusionMembrane potentialAnimal modelsAcute doxorubicin-induced cardiotoxicityLeft anterior descending coronary artery territoryAcute cardiotoxic effectsAnterior descending coronary arteryControl saline infusionDescending coronary arteryDoxorubicin doseSaline infusionTest infusionCardiotoxic effectsMitochondrial membrane potentialInfusion catheterCoronary arteryInfusionMitochondrial functionDoxorubicinMyocardial areaPET imagingIntracoronary catheter
2021
Quantification of Myocardial Mitochondrial Membrane Potential Using PET
Pelletier-Galarneau M, Detmer F, Petibon Y, Normandin M, Ma C, Alpert N, El Fakhri G. Quantification of Myocardial Mitochondrial Membrane Potential Using PET. Current Cardiology Reports 2021, 23: 70. PMID: 33970353, PMCID: PMC8443083, DOI: 10.1007/s11886-021-01500-8.Peer-Reviewed Original ResearchCitationsMeSH Keywords and Concepts
2020
In vivo quantitative mapping of human mitochondrial cardiac membrane potential: a feasibility study
Pelletier-Galarneau M, Petibon Y, Ma C, Han P, Kim S, Detmer F, Yokell D, Guehl N, Normandin M, El Fakhri G, Alpert N. In vivo quantitative mapping of human mitochondrial cardiac membrane potential: a feasibility study. European Journal Of Nuclear Medicine And Molecular Imaging 2020, 48: 414-420. PMID: 32719915, PMCID: PMC7839097, DOI: 10.1007/s00259-020-04878-9.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMembrane potentialBolus injectionHealthy subjectsHematocrit levelsSerial venous blood samplesT1 mapping imagesVenous blood samplesExtracellular space fractionMethodsThirteen healthy subjectsDynamic PET acquisitionCellular membrane potentialGadolinium injectionPrognostic informationVentricular arrhythmiasHeart failureMyocardial hypertrophyMitochondrial membrane potentialCardiac diseaseIn vitro assessmentTherapy monitoringBlood concentrationsPET acquisitionImaging protocolBlood samplesPlasma tracer concentrationBlebs in intracranial aneurysms: prevalence and general characteristics
Ashkezari S, Detmer F, Mut F, Chung B, Yu A, Stapleton C, See A, Amin-Hanjani S, Charbel F, Jahromi B, Niemelä M, Frösen J, Zhou J, Maiti S, Robertson A, Cebral J. Blebs in intracranial aneurysms: prevalence and general characteristics. Journal Of NeuroInterventional Surgery 2020, 13: 226-230. PMID: 32680877, PMCID: PMC8294207, DOI: 10.1136/neurintsurg-2020-016274.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsAssociated with dental infectionDental infectionsIntracranial aneurysmsPercentage of aneurysmsHormone therapyPresence of blebsAssociated with hormone replacement therapyHormone replacement therapyHistory of hypertensionInternal carotid arteryReplacement therapyClinical factorsAneurysmVascular reconstructionCarotid arteryAneurysm neckRisk factorsMultiple blebsTherapyAngiographic imagesNeckInfectionRupture risk factorsBlebsHypertensionA note on coding and standardization of categorical variables in (sparse) group lasso regression
Detmer F, Cebral J, Slawski M. A note on coding and standardization of categorical variables in (sparse) group lasso regression. Journal Of Statistical Planning And Inference 2020, 206: 1-11. DOI: 10.1016/j.jspi.2019.08.003.Peer-Reviewed Original ResearchCitationsAltmetricConceptsWithin-group sparsityCategorical covariatesRegressor variablesCoding schemeDesign matrixVariable selectionGroup lassoBoost performanceCategorical predictorsRe-scalingGroups of variablesOrthonormalityIndicator variablesTibshiraniSparsityCase studyConvenient approachComputerCase of interactionLASSOCovariatesSchemeIdentifiersExtensionVariablesIncorporating variability of patient inflow conditions into statistical models for aneurysm rupture assessment
Detmer F, Mut F, Slawski M, Hirsch S, Bijlenga P, Cebral J. Incorporating variability of patient inflow conditions into statistical models for aneurysm rupture assessment. Acta Neurochirurgica 2020, 162: 553-566. PMID: 32008209, PMCID: PMC7172014, DOI: 10.1007/s00701-020-04234-8.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsFlow conditionsCFD simulationsComputational hemodynamicsComputed flow fieldSteady CFD simulationsInflow boundary conditionsFlow variationsInflow conditionsRupture assessmentFlow fieldCFD dataAneurysm rupture predictionRupture predictionInflow rateBoundary conditionsCFDInfluence of inter-FlowHemodynamic parametersSimulation
2019
Comparison of statistical learning approaches for cerebral aneurysm rupture assessment
Detmer F, Lückehe D, Mut F, Slawski M, Hirsch S, Bijlenga P, von Voigt G, Cebral J. Comparison of statistical learning approaches for cerebral aneurysm rupture assessment. International Journal Of Computer Assisted Radiology And Surgery 2019, 15: 141-150. PMID: 31485987, DOI: 10.1007/s11548-019-02065-2.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsSupport vector machineK-nearest neighborLinear support vector machineMultilayer perceptronRandom forestRBF-SVMMachine learningDecision treeTrained support vector machineNeural network classifierArea under the receiver operating characteristic curveStatistical learning approachNetwork classifierRBF kernelML classifiersPatient-related informationK-nearestVector machineClassifierLearning approachAneurysm rupture statusRupture statusTest casesReceiver operating characteristic curveResultsThe area under the receiver operating characteristic curveExtending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics.
Detmer F, Hadad S, Chung B, Mut F, Slawski M, Juchler N, Kurtcuoglu V, Hirsch S, Bijlenga P, Uchiyama Y, Fujimura S, Yamamoto M, Murayama Y, Takao H, Koivisto T, Frösen J, Cebral J. Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics. Neurosurgical FOCUS 2019, 47: e16. PMID: 31261120, PMCID: PMC7132362, DOI: 10.3171/2019.4.focus19145.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsArea under the receiver operating characteristic curveFinnish patientsPatient populationRisks associated with treatmentReceiver operating characteristic curveRupture riskInteraction termsAneurysm characteristicsIncidental aneurysmsModels' area under the receiver operating characteristic curvePatient characteristics