2024
Multi-modal deep learning from imaging genomic data for schizophrenia classification
Kanyal A, Mazumder B, Calhoun V, Preda A, Turner J, Ford J, Ye D. Multi-modal deep learning from imaging genomic data for schizophrenia classification. Frontiers In Psychiatry 2024, 15: 1384842. PMID: 39006822, PMCID: PMC11239396, DOI: 10.3389/fpsyt.2024.1384842.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsGenomic dataGenetic markersGenomic markersBrains of individualsNucleotide polymorphismsEtiology of SZFunctional magnetic resonance imagingStructural magnetic resonance imagingMorphological featuresLayerwise relevance propagationHereditary aspectsHealthy controlsMarkers
2023
Multi-Modal Deep Learning on Imaging Genetics for Schizophrenia Classification
Kanyal A, Kandula S, Calhoun V, Ye D. Multi-Modal Deep Learning on Imaging Genetics for Schizophrenia Classification. 2023, 00: 1-5. DOI: 10.1109/icasspw59220.2023.10193352.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsSZ patientsFunctional network connectivityFunctional MRIStructural MRIFunctional brain connectivityGenetic markersChronic mental conditionsNucleotide polymorphismsBrain connectivity featuresDecreased hippocampalGenetic featuresSZ subjectsMorphological changesThalamic volumeBrain connectivitySZ diagnosisGenetic illnessMental conditionLayer-wise relevance propagationMorphological featuresBrainConnectivity featuresSZ
2022
Deep Learning From Imaging Genetics for Schizophrenia Classification
Yu H, Florian T, Calhoun V, Ye D. Deep Learning From Imaging Genetics for Schizophrenia Classification. 2022, 00: 3291-3295. DOI: 10.1109/icip46576.2022.9897977.Peer-Reviewed Original ResearchSingle-nucleotide polymorphismsSingle nucleotide polymorphismsGenetic informationNucleotide polymorphismsGenetic changesGenetic disordersLayer-wise relevance propagationPatient's brainMorphological characteristicsPolymorphismStructural MRIMulti-modal deep learning approachExtract convolutional features