2023
LiverHccSeg: A publicly available multiphasic MRI dataset with liver and HCC tumor segmentations and inter-rater agreement analysis
Gross M, Arora S, Huber S, Kücükkaya A, Onofrey J. LiverHccSeg: A publicly available multiphasic MRI dataset with liver and HCC tumor segmentations and inter-rater agreement analysis. Data In Brief 2023, 51: 109662. PMID: 37869619, PMCID: PMC10587725, DOI: 10.1016/j.dib.2023.109662.Peer-Reviewed Original ResearchTumor segmentation algorithmTumor segmentationSegmentation algorithmLiver segmentationManual segmentationTumor segmentation taskHigh-quality segmentationSegmentation taskSegmentation metricsSegmentation performanceAccurate segmentationRelevant metadataSegmentation agreementSegmentationMedical imagingFeature analysisExternal dataDatasetIntra-rater variabilityAlgorithmInnovative solutions
2022
Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning
Ta K, Ahn SS, Stendahl JC, Langdon J, Sinusas AJ, Duncan JS. Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning. Lecture Notes In Computer Science 2022, 13131: 123-131. PMID: 35759335, PMCID: PMC9221412, DOI: 10.1007/978-3-030-93722-5_14.Peer-Reviewed Original ResearchMotion estimationMulti-task learning networkMedical image analysis literatureMulti-task learningSingle-task learningMotion estimation techniqueImage analysis literatureComputer visionDecoding branchesFeature encoderLearning frameworkLearning networkLatent featuresAccurate segmentationSimultaneous segmentationEstimate motionImage pairsTask learningRealistic motion patternsVolumetric segmentationSegmentationMotion patternsTaskUnique taskLearning
2021
Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI
Liu X, Xing F, Gaggin H, Wang W, Kuo C, Fakhri G, Woo J. Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2021, 00: 3535-3538. PMID: 34892002, DOI: 10.1109/embc46164.2021.9629770.Peer-Reviewed Original ResearchConceptsConvolutional neural networkSegmentation of cardiac structuresSaab transformSubspace approximationAccurate segmentation of cardiac structuresDimension reductionConvolutional neural network modelConcatenation of featuresUnsupervised dimension reductionConditional random fieldPixel-wise classificationSupervised dimension reductionU-Net modelMachine learning modelsSubspace learningChannel-wiseSegmentation databaseSegmentation frameworkNeural networkU-NetEfficient segmentationAccurate segmentationLearning modelsCardiac MR imagesRandom fieldComparison and Reliability of Hippocampal Subfield Segmentations Within FreeSurfer Utilizing T1- and T2-Weighted Multispectral MRI Data
Seiger R, Hammerle FP, Godbersen GM, Reed MB, Spurny-Dworak B, Handschuh P, Klöbl M, Unterholzner J, Gryglewski G, Vanicek T, Lanzenberger R. Comparison and Reliability of Hippocampal Subfield Segmentations Within FreeSurfer Utilizing T1- and T2-Weighted Multispectral MRI Data. Frontiers In Neuroscience 2021, 15: 666000. PMID: 34602964, PMCID: PMC8480394, DOI: 10.3389/fnins.2021.666000.Peer-Reviewed Original ResearchHigh-resolution T2-weighted sequencesProcessing pipelineT2-weighted sequencesAccurate segmentationMultispectral informationMultispectral MRI dataPutative imaging biomarkersDifferent processing pipelinesStructural MRI sequencesT1-weighted sequencesTest-retest variabilityDifferent input configurationsCross-sectional mannerInput imageSegmentation resultsDisease progressionMagnetic resonance imaging dataHippocampal fissureHippocampal formationHippocampal subfieldsHippocampal subfield segmentationPatient stratificationBrain areasPsychiatric diseasesDice coefficient
2012
Radial k-space Acquisition Improves Robustness of MR-based Attenuation Maps for MR/PET Quantification in an Animal Imaging Study of the Abdomen
Bini J, Robson P, Calcagno C, Millon A, Lobatto M, Fayad Z. Radial k-space Acquisition Improves Robustness of MR-based Attenuation Maps for MR/PET Quantification in an Animal Imaging Study of the Abdomen. 2012, 1-6. DOI: 10.1109/spmb.2012.6469451.Peer-Reviewed Original ResearchMR/PET systemAttenuation mapRadial k-space acquisitionCartesian k-space trajectoriesReconstructed PET imagesAnimal imaging studiesK-space trajectoriesK-space acquisitionInterest-based comparisonPhoton attenuationPET systemPreclinical imagingAccurate segmentationPositron emission tomographyAttenuation correctionStandard segmentation algorithmsCartesian acquisitionExhibit artifactsPET quantificationQuantitative measurementsQuantitative positron emission tomography
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