2025
Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net
Zhang J, Du Y, Dvornek N, Onofrey J. Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net. 2025, 00: 1-5. DOI: 10.1109/isbi60581.2025.10981208.Peer-Reviewed Original ResearchConvolutional neural networkU-NetModel sizeSmall memory costMedical image analysisU-Net architectureImproved vessel segmentationTrainable parametersMemory costComputer-assisted interventionSegmentation performanceNeural networkLearning methodsVessel segmentationLearning costLearning approachEquivariance propertyFundus imagesInconsistent predictionsAutomated segmentationImage analysisPerformanceSegmentsImagesArchitecture
2022
MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET
Guo X, Zhou B, Chen X, Liu C, Dvornek N. MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET. Lecture Notes In Computer Science 2022, 13434: 163-172. PMID: 38464686, PMCID: PMC10923180, DOI: 10.1007/978-3-031-16440-8_16.Peer-Reviewed Original ResearchConvolutional long short-term memory (ConvLSTM) layersLong short-term memory layersMotion estimation moduleShort-term memory layersDeep learning benchmarksEnhanced network performanceImage registration problemMotion correction frameworkMotion correctionU-NetNetwork performanceLearning benchmarksSimilarity measurementEstimation moduleRegistration problemGradient lossMemory layerLoss functionDynamic frameDynamic positron emission tomographyFitting errorSpatial alignmentSpatial misalignmentPatient motionModule
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