2021
Detecting lumbar lesions in 99mTc‐MDP SPECT by deep learning: Comparison with physicians
Petibon Y, Fahey F, Cao X, Levin Z, Sexton‐Stallone B, Falone A, Zukotynski K, Kwatra N, Lim R, Bar‐Sever Z, Chemli Y, Treves S, Fakhri G, Ouyang J. Detecting lumbar lesions in 99mTc‐MDP SPECT by deep learning: Comparison with physicians. Medical Physics 2021, 48: 4249-4261. PMID: 34101855, DOI: 10.1002/mp.15033.Peer-Reviewed Original ResearchConceptsSingle-photon emission computed tomographyLow back painLumbar lesionsPediatric patientsTc-MDPEvaluate low back painCause of low back painTc-MDP scanLesion-presentEmission computed tomographyConvolutional neural networkClinical likelihoodBack painInterreader variabilityDeep convolutional neural networkLumbar locationLesionsStress lesionsFocal lesionsDeep learningPatientsLumbar stressPhysiciansDL systemsLROC studies
2017
Brain circuit–gene expression relationships and neuroplasticity of multisensory cortices in blind children
Ortiz-Terán L, Diez I, Ortiz T, Perez D, Aragón J, Costumero V, Pascual-Leone A, Fakhri G, Sepulcre J. Brain circuit–gene expression relationships and neuroplasticity of multisensory cortices in blind children. Proceedings Of The National Academy Of Sciences Of The United States Of America 2017, 114: 6830-6835. PMID: 28607055, PMCID: PMC5495230, DOI: 10.1073/pnas.1619121114.Peer-Reviewed Original ResearchConceptsBlind childrenFunctional connectivity analysisMultisensory integration areasSensory deprivationFunctional connectivity relationshipsProtein gene familyNetwork connectivity profilesPrimary sensory cortexSystems-level analysisNeuroplastic adaptationsMultisensory cortexFunctional connectivityConnectivity analysisHuman neuroplasticityConnectivity changesGene expression profilesConnectivity profilesNeural reorganizationSensory cortexGene familySighted controlsHuman brainCortexBiological basisGenetic underpinnings
2014
Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching
Hu C, El Fakhri G, Li Q. Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching. Lecture Notes In Computer Science 2014, 17: 733-740. PMID: 25485445, DOI: 10.1007/978-3-319-10470-6_91.Peer-Reviewed Original ResearchConceptsAttention deficit hyperactivity disorderNetwork symmetryBrain networksType of Attention Deficit Hyperactivity DisorderWeighted brain networksConsistent with former findingsDeficit hyperactivity disorderRs-fMRI networksResting state fMRISymmetry levelInattentive typeHyperactivity disorderBrain areasSymmetryStructural symmetryBrain connectivityFunctional networksResting stateLarger thresholdsBrainFMRIHigher levelsGraph matchingNode pairsNormal subjects