Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge
Schirmer MD, Venkataraman A, Rekik I, Kim M, Mostofsky SH, Nebel MB, Rosch K, Seymour K, Crocetti D, Irzan H, Hütel M, Ourselin S, Marlow N, Melbourne A, Levchenko E, Zhou S, Kunda M, Lu H, Dvornek NC, Zhuang J, Pinto G, Samal S, Zhang J, Bernal-Rusiel JL, Pienaar R, Chung AW. Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Analysis 2021, 70: 101972. PMID: 33677261, PMCID: PMC9115580, DOI: 10.1016/j.media.2021.101972.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAutism Spectrum DisorderConnectomeHumansMachine LearningMagnetic Resonance ImagingNeuroimagingConceptsAttention-deficit/hyperactivity disorderAutism Brain Imaging Data ExchangeResting-state fMRI time seriesAutism spectrum disorder (ASD) patientsHuman Connectome ProjectADHD modelHyperactivity disorderADHD comorbidityASD classificationConnectome ProjectOpen-source image analysis platformFMRI time seriesBrain connectomicsFunctional connectomicsClassification methodologyLearning challengesOpen-source datasetField of connectomicsParcellation atlasesDisorder patientsImage analysis platformOmission rateParticipantsConnectomicsMICCAI 2019