2025
Texture and noise dual adaptation for infrared image super-resolution
Huang Y, Miyazaki T, Liu X, Dong Y, Omachi S. Texture and noise dual adaptation for infrared image super-resolution. Pattern Recognition 2025, 163: 111449. DOI: 10.1016/j.patcog.2025.111449.Peer-Reviewed Original ResearchTexture detailsAdversarial lossSuper-resolutionInfrared image super-resolutionVisible imagesImage super-resolutionState-of-the-artIR image qualityVisible light imagesAdversarial trainingExtraction branchUpsampling factorsBlurring artifactsImage processingModel adaptationAdaptive approachSpatial domainImage qualityNoiseInnovation frameworkLight imagesNoise transferDual adaptationImagesTexture distribution
2024
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation
Zhou Y, Chen T, Hou J, Xie H, Dvornek N, Zhou S, Wilson D, Duncan J, Liu C, Zhou B. Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation. Medical Image Analysis 2024, 98: 103300. PMID: 39226710, DOI: 10.1016/j.media.2024.103300.Peer-Reviewed Original ResearchGenerative adversarial networkMedical image translationImage translationState-of-the-art methodsImage-to-image translationMedical image datasetsImage translation tasksImage-to-imageState-of-the-artMedical image processingHigh-quality translationsUncertainty estimationCascaded pipelineAdversarial networkImage datasetsSub-tasksTranslation qualityTranslation performanceTranslation tasksImage processingTranslation resultsDM methodPrior imageRobust performanceExperimental results
2022
Automated stain-free histomorphometry of peripheral nerve by contrast-enhancing techniques and artificial intelligence
Coto Hernández I, Mohan S, Jowett N. Automated stain-free histomorphometry of peripheral nerve by contrast-enhancing techniques and artificial intelligence. Journal Of Neuroscience Methods 2022, 375: 109598. PMID: 35436515, DOI: 10.1016/j.jneumeth.2022.109598.Peer-Reviewed Original ResearchConceptsDeep learning algorithmsDeep learningArtificial intelligenceMachine learningLearning algorithmImage processingImage reconstructionExisting methodsSegmentationPhase contrast imagesLearningContrast imagesImagesIntelligenceAlgorithmEmbeddingBrightfield microscopyTechniqueTransmission modalityProcessingApplications
2021
Computerized technologies informing cardiac catheterization and guiding coronary intervention
Bajaj R, Parasa R, Ramasamy A, Makariou N, Foin N, Prati F, Lansky A, Mathur A, Baumbach A, Bourantas CV. Computerized technologies informing cardiac catheterization and guiding coronary intervention. American Heart Journal 2021, 240: 28-45. PMID: 34077744, DOI: 10.1016/j.ahj.2021.05.017.Peer-Reviewed Original ResearchConceptsUser-friendly softwareComputer-based technologiesComputer hardwareAccessible interfaceImage processingImaging dataGeneration of modelsComputerized technologyComputational fluid dynamics techniqueSoftwareFluid dynamics techniqueAbove advancesX-ray angiographyTechnologyHardwareSystemSilhouetteDynamics techniqueVessel geometryProcessingCapabilityDataInterfaceReliable evaluationAdvances
2019
Invited Paper Image-Guided Microfluidic Cell Sorter with Machine Learning
Gu Y, Tang R, Zhang A, Han Y, Lo Y. Invited Paper Image-Guided Microfluidic Cell Sorter with Machine Learning. 2019, 1-2. DOI: 10.1364/cleo_si.2019.stu4h.3.Peer-Reviewed Original Research
2017
BFPTool: a software tool for analysis of Biomembrane Force Probe experiments
Šmít D, Fouquet C, Doulazmi M, Pincet F, Trembleau A, Zapotocky M. BFPTool: a software tool for analysis of Biomembrane Force Probe experiments. BMC Biophysics 2017, 10: 2. PMID: 28289540, PMCID: PMC5304404, DOI: 10.1186/s13628-016-0033-2.Peer-Reviewed Original ResearchSingle-molecule force spectroscopyBiomembrane force probeForce spectroscopyBiological interfacesForce probeRange of forcesProbe experimentsAnalytical toolsExperimental techniquesImage processingGraphical formProcessing featuresInterfaceSpectroscopyEfficient analysisConvenient wayDedicated toolsExperiments
2015
Gctf: Real-time CTF determination and correction
Zhang K. Gctf: Real-time CTF determination and correction. Journal Of Structural Biology 2015, 193: 1-12. PMID: 26592709, PMCID: PMC4711343, DOI: 10.1016/j.jsb.2015.11.003.Peer-Reviewed Original ResearchConceptsCTF determinationSubsequent image processingGPU accelerationImage processingCTF parametersBackground subtractionLocal defocusSingle frameNovel diagnosis methodDiagnosis methodVerification procedureIndependent programsNovel approachRepresentative datasetLogarithmic amplitude spectrumObserved micrographsComputer programContrast transfer functionGPUPractical useAccurate estimationDatasetSoftwareRELIONFREALIGN
2014
Multiecho acquisition of O‐space data
Galiana G, Peters D, Tam L, Constable RT. Multiecho acquisition of O‐space data. Magnetic Resonance In Medicine 2014, 72: 1648-1657. PMID: 24459076, PMCID: PMC4108571, DOI: 10.1002/mrm.25085.Peer-Reviewed Original Research
2013
Automatic stent strut detection in intravascular OCT images using image processing and classification technique
Lu H, Gargesha M, Wang Z, Chamie D, Attizani G, Kanaya T, Ray S, Costa M, Rollins A, Bezerra H, Wilson D. Automatic stent strut detection in intravascular OCT images using image processing and classification technique. Proceedings Of SPIE--the International Society For Optical Engineering 2013, 8670: 867015-867015-8. DOI: 10.1117/12.2007183.Peer-Reviewed Original Research
2008
Overview of Computer-Assisted Image-Guided Surgery of the Spine
Patel A, Whang P, Vaccaro A. Overview of Computer-Assisted Image-Guided Surgery of the Spine. Seminars In Spine Surgery 2008, 20: 186-194. DOI: 10.1053/j.semss.2008.06.005.Peer-Reviewed Original Research
2006
Grid enabled magnetic resonance scanners for near real-time medical image processing
Crane J, Crawford F, Nelson S. Grid enabled magnetic resonance scanners for near real-time medical image processing. Journal Of Parallel And Distributed Computing 2006, 66: 1524-1533. DOI: 10.1016/j.jpdc.2006.03.009.Peer-Reviewed Original ResearchMedical image processingHPC resourcesImage processingHigh-performance computing gridsReal-time medical image processingGraphical software toolMedical imaging dataReal-time processingComputing GridImaging data setsPrototype applicationSoftware toolsParallel reconstructionProcessing jobsAcceptable timeData setsMultiple research groupsImaging dataGridProcessingHardwareInitial resultsResourcesScannerResearch groupsBioImage Suite: An integrated medical image analysis suite: An update.
Papademetris X, Jackowski MP, Rajeevan N, DiStasio M, Okuda H, Constable RT, Staib LH. BioImage Suite: An integrated medical image analysis suite: An update. Insight Journal 2006, 2006: 209. PMID: 25364771, PMCID: PMC4213804, DOI: 10.54294/2g80r4.Peer-Reviewed Original ResearchVisualization ToolkitInsight ToolkitUser-friendly user interfaceTcl scripting languageArea of segmentationAnalysis software suiteScripting languageUser interfaceImage processingBioImage SuiteSoftware suiteAdditional algorithmsAnalysis suiteBeta versionImage analysisToolkitSuiteSegmentationDownloadAlgorithmLanguageYaleRegistrationProcessingUpdate
2004
Geometric strategies for neuroanatomic analysis from MRI
Duncan JS, Papademetris X, Yang J, Jackowski M, Zeng X, Staib LH. Geometric strategies for neuroanatomic analysis from MRI. NeuroImage 2004, 23: s34-s45. PMID: 15501099, PMCID: PMC2832750, DOI: 10.1016/j.neuroimage.2004.07.027.Peer-Reviewed Original ResearchConceptsApplied mathematical approachWhite matter fiber tracksStatistical estimationMathematical approachFunction-structure analysisMagnetic resonance imagesEvolution strategyGeometric constraintsImage processingIntersubject registrationRich setGeometric strategyOngoing workData setsUse of levelsCommon spaceNeuroanatomic analysisSetRegistrationFiber tracksHuman brainResonance imagesInformationSegmentationEstimation
2003
Image Processing and Analysis at IPAG
Duncan JS, Staib LH. Image Processing and Analysis at IPAG. IEEE Transactions On Medical Imaging 2003, 22: 1505. PMID: 14649742, DOI: 10.1109/tmi.2003.819935.Peer-Reviewed Original Research
2001
Low bit-rate efficient compression for seismic data
Averbuch A, Meyer R, Stromberg J, Coifman R, Vassiliou A. Low bit-rate efficient compression for seismic data. IEEE Transactions On Image Processing 2001, 10: 1801-1814. PMID: 18255520, DOI: 10.1109/83.974565.Peer-Reviewed Original ResearchCompression algorithmHigh compression ratioData compressionCompression ratioData setsSeismic data setsNew compression algorithmModerate compression ratiosHuffman coding schemeHigher-dimensional transformsSeismic data compressionFast processing speedLocal cosine transformMultimedia applicationsData operationsEfficient compressionCompression schemeDifferent data setsCompression artifactsCompression techniquesImage processingCosine transformCoding schemeCompression resultsData dynamic range
1999
A Binocular, Foveated Active Vision System
Scassellati B. A Binocular, Foveated Active Vision System. 1999 DOI: 10.21236/ada455741.Peer-Reviewed Original Research
1995
Validation of volume flow measurements with cine phase‐contrast MR imaging for peripheral arterial waveforms
McCauley T, Pena C, Holland C, Price T, Gore J. Validation of volume flow measurements with cine phase‐contrast MR imaging for peripheral arterial waveforms. Journal Of Magnetic Resonance Imaging 1995, 5: 663-668. PMID: 8748483, DOI: 10.1002/jmri.1880050608.Peer-Reviewed Original Research743-5 Evaluation of the Accuracy of New Quantitative Image Processing Methods in Measuring the Size of Ventricular Septal Defects Directly on Three-dimensional Echocardiograms and Factors Influencing its Reliability
Sugeng L, Cao Q, Delabays A, Magni G, Marx G, Ludomirski A, Vogel M, Pandian N. 743-5 Evaluation of the Accuracy of New Quantitative Image Processing Methods in Measuring the Size of Ventricular Septal Defects Directly on Three-dimensional Echocardiograms and Factors Influencing its Reliability. Journal Of The American College Of Cardiology 1995, 25: 185a. DOI: 10.1016/0735-1097(95)92228-w.Peer-Reviewed Original ResearchVentricular septal defectVentricular septal defect sizeVSD sizeSeptal defectSize of ventricular septal defectThree-dimensional echocardiogramImage processingAnatomical specimensOpacificationInfluence of THImage processing methodsPig heartsIncreased THSlice orientationAnatomyMax DMin DQuantitative image processing methodsUnreliable dataScanning deviceProcessing methodsEchocardiogramTh decreaseSlices
1983
Integrated Microvessel Diameter and Microregional Blood Content as Determined by Cerebrocortical Video Reflectometry
Eke A. Integrated Microvessel Diameter and Microregional Blood Content as Determined by Cerebrocortical Video Reflectometry. 1983, 249-252. DOI: 10.1007/978-3-7091-4124-3_30.Peer-Reviewed Original Research
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