2021
Assessing the utility of low resolution brain imaging: treatment of infant hydrocephalus
Harper JR, Cherukuri V, O’Reilly T, Yu M, Mbabazi-Kabachelor E, Mulando R, Sheth KN, Webb AG, Warf BC, Kulkarni AV, Monga V, Schiff SJ. Assessing the utility of low resolution brain imaging: treatment of infant hydrocephalus. NeuroImage Clinical 2021, 32: 102896. PMID: 34911199, PMCID: PMC8646178, DOI: 10.1016/j.nicl.2021.102896.Peer-Reviewed Original ResearchConceptsDeep learning enhancementLow-quality imagesDeep learningQuality imagesDeep learning algorithmsEnhanced imageRole of machineLearning enhancementImage qualityLearning algorithmAcceptable image qualityReconstruction errorImage resolutionImagesAlgorithmCT imagesLearningCT counterpartsNoise ratioTreatment planningPlanningNew standardStructural errorsExperienced pediatric neurosurgeonsMachineAn Unmatched Radio Frequency Chain for Low-Field Magnetic Resonance Imaging
Harper J, Zárate C, Krauch F, Muhumuza I, Molina J, Obungoloch J, Schiff S. An Unmatched Radio Frequency Chain for Low-Field Magnetic Resonance Imaging. Frontiers In Physics 2021, 9: 727536. PMID: 36213526, PMCID: PMC9536774, DOI: 10.3389/fphy.2021.727536.Peer-Reviewed Original Research
2019
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors
Cherukuri V, Guo T, Schiff S, Monga V. Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors. IEEE Transactions On Image Processing 2019, 29: 1368-1383. PMID: 31562091, PMCID: PMC7335214, DOI: 10.1109/tip.2019.2942510.Peer-Reviewed Original ResearchNetwork architectureDeep learning methodsSuper-resolution taskBrain image databaseFeedback layerImage quality measuresLow-rank structureImage databaseArt resultsTraining dataLearning methodsArt methodsImage priorsCompelling stateKey extensionsOutput imageImage matrixImage structureStructural priorsTractable fashionEnhanced sharpnessDifferentiable approximationImage resolutionProcessing constraintsNetwork
2018
Deep Mr Image Super-Resolution Using Structural Priors
Cherukuri V, Guo T, Schiff S, Monga V. Deep Mr Image Super-Resolution Using Structural Priors. 2014 IEEE International Conference On Image Processing (ICIP) 2018, 00: 410-414. PMID: 30930696, PMCID: PMC6440206, DOI: 10.1109/icip.2018.8451496.Peer-Reviewed Original ResearchConvolutional neural networkImage superresolutionMR Image Super-ResolutionDeep learning methodsSuper-resolution taskBrain image databaseImage Super-ResolutionLow-rank structureImage databaseArt resultsNeural networkLearning methodsTraining imageryImage priorsCompelling stateSuper-ResolutionImage matrixImage structureStructural priorsTractable fashionDifferentiable approximationImage resolutionNetworkMagnetic resonance imagesPromising results