2024
Aging-dependent loss of functional connectivity in a mouse model of Alzheimer’s disease and reversal by mGluR5 modulator
Mandino F, Shen X, Desrosiers-Grégoire G, O’Connor D, Mukherjee B, Owens A, Qu A, Onofrey J, Papademetris X, Chakravarty M, Strittmatter S, Lake E. Aging-dependent loss of functional connectivity in a mouse model of Alzheimer’s disease and reversal by mGluR5 modulator. Molecular Psychiatry 2024, 30: 1730-1745. PMID: 39424929, PMCID: PMC12015114, DOI: 10.1038/s41380-024-02779-z.Peer-Reviewed Original ResearchFunctional connectivity deficitsConnectivity deficitsFunctional connectivityBrain connectivityAllosteric modulators of mGluR5Alzheimer's diseaseDefault-mode networkModulation of mGluR5Loss of functional connectivityResting-state fMRIApplication of fMRIWild-type controlsAged AD miceMouse model of Alzheimer's diseaseAD-related changesAD miceModel of Alzheimer's diseaseAssociated with synaptic damageMGluR5 modulationMonths of ageFMRI measurementsAmyloid accumulationDecreased connectivityBrain networksSilent allosteric modulatorsBiphasic training for awake imaging using a dual-imaging system reveals neurovascular uncoupling and anesthesia effects in healthy mice
Mandino F, Shen X, Desrosiers-Gregoire G, O'Connor D, Mukherjee B, Ha Y, Qu A, Onofrey J, Papademetris X, Chakravarty M, Strittmatter S, Lake E. Biphasic training for awake imaging using a dual-imaging system reveals neurovascular uncoupling and anesthesia effects in healthy mice. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/0531.Peer-Reviewed Original Research
2023
Longitudinal simultaneous fMRI and mesoscale calcium imaging in a mouse model of Alzheimer’s disease
Mandino F, Shen X, Desrosiers-Gregoire G, O'Connor D, Mukherjee B, DeLuca K, Hamodi A, Owens A, Ha Y, Qu A, Onofrey J, Papademetris X, Chakravarty M, Crair M, Strittmatter S, Lake E. Longitudinal simultaneous fMRI and mesoscale calcium imaging in a mouse model of Alzheimer’s disease. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/3914.Peer-Reviewed Original ResearchMouse model of Alzheimer's diseaseModel of Alzheimer's diseaseMesoscale calcium imagingAlzheimer's diseaseBehavioral deficitsExcitatory neural activityMultimodal neuroimagingBOLD signalSimultaneous fMRINeuroimaging changesNeural activityBOLD fMRIPreliminary evidenceCalcium imagingClinically accessible biomarkersMesoscopic calcium imagingSpontaneous activityFMRINeuroimagingBOLDDeficitsComplex relationship
2018
Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery
Sadda P, Imamoglu M, Dombrowski M, Papademetris X, Bahtiyar MO, Onofrey J. Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery. International Journal Of Computer Assisted Radiology And Surgery 2018, 14: 227-235. PMID: 30484115, PMCID: PMC6438174, DOI: 10.1007/s11548-018-1886-4.Peer-Reviewed Original ResearchDeep Learning Retinal Vessel Segmentation from a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks
Sadda P, Onofrey J, Papademetris X. Deep Learning Retinal Vessel Segmentation from a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks. Lecture Notes In Computer Science 2018, 11043: 82-91. DOI: 10.1007/978-3-030-01364-6_10.Peer-Reviewed Original ResearchGenerative adversarial neural networksAdversarial neural networkGround truth segmentationNeural networkTruth segmentationMedical image segmentation tasksImage segmentation tasksConvolutional neural networkDeep learning methodsRetinal vessel segmentationConvolutional networkSegmentation taskTraining examplesAnnotated examplesTraining dataLearning methodsVessel segmentationSegmentationSynthetic examplesNetworkLarge amountDatasetTaskExampleAccuracyBetter Feature Matching for Placental Panorama Construction
Sadda P, Onofrey J, Bahtiyar M, Papademetris X. Better Feature Matching for Placental Panorama Construction. Lecture Notes In Computer Science 2018, 11076: 128-137. DOI: 10.1007/978-3-030-00807-9_13.Peer-Reviewed Original ResearchOnly definitive treatmentPlacental vascular diseaseTwin transfusion syndromeSurgical cauterizationDefinitive treatmentTransfusion syndromeTwin pregnanciesPlacental vesselsVascular diseaseIntrauterine environmentPlacental surfaceSurgical proceduresActual surgical procedureVascular formationVisual distractorsEndoscopeVivo imagesPregnancySurgerySyndromeCauterizationPlacentaSegmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning
Onofrey JA, Staib LH, Papademetris X. Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning. IEEE Transactions On Medical Imaging 2018, 38: 596-607. PMID: 30176584, PMCID: PMC6476428, DOI: 10.1109/tmi.2018.2868045.Peer-Reviewed Original ResearchA Fetal FMRI Specific Motion Correction Algorithm Using 2ND Order Edge Features
Scheinost* D, Onofrey J, Kwon S, Cross S, Sze G, Ment L, Papademetris X. A Fetal FMRI Specific Motion Correction Algorithm Using 2ND Order Edge Features. 2018, 1288-1292. DOI: 10.1109/isbi.2018.8363807.Peer-Reviewed Original Research
2016
MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention
Onofrey J, Oksuz I, Sarkar S, Venkataraman R, Staib L, Papademetris X. MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention. Lecture Notes In Computer Science 2016, 9968: 157-166. DOI: 10.1007/978-3-319-46630-9_16.Peer-Reviewed Original Research
2015
Learning intervention-induced deformations for non-rigid MR-CT registration and electrode localization in epilepsy patients
Onofrey JA, Staib LH, Papademetris X. Learning intervention-induced deformations for non-rigid MR-CT registration and electrode localization in epilepsy patients. NeuroImage Clinical 2015, 10: 291-301. PMID: 26900569, PMCID: PMC4724039, DOI: 10.1016/j.nicl.2015.12.001.Peer-Reviewed Original Research
2014
Semi-supervised Learning of Nonrigid Deformations for Image Registration
Onofrey J, Staib L, Papademetris X. Semi-supervised Learning of Nonrigid Deformations for Image Registration. Lecture Notes In Computer Science 2014, 8331: 13-23. DOI: 10.1007/978-3-319-05530-5_2.Peer-Reviewed Original ResearchLarge medical image databasesSemi-supervised learning frameworkMedical image databasesStatistical deformation modelSemi-supervised learningIntensity-based registrationImage databaseLeave-one-out cross validationLearning frameworkSupervised registrationsMR datasetsImage registrationRegistration algorithmUnsupervised registrationsBrain imagesNonrigid transformationNonrigid deformationResearch communityBrain Atlas databaseVast quantitiesCross validationMR brainRegistrationLarge amountDatabaseSemi-supervised Learning of Nonrigid Deformations for Image Registration
Onofrey J, Staib L, Papademetris X. Semi-supervised Learning of Nonrigid Deformations for Image Registration. Lecture Notes In Computer Science 2014, 13-23. DOI: 10.1007/978-3-319-14104-6_2.Peer-Reviewed Original Research
2010
A VTK-based, CUDA-optimized Non-Parametric Vessel Detection Method
Alpoge L, Joshi A, Scheinost D, Onofrey J, Qian X, Papademetris X. A VTK-based, CUDA-optimized Non-Parametric Vessel Detection Method. The VTK Journal 2010 DOI: 10.54294/z1w0uu.Chapters
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply