2023
POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020–2021)
Suwalska A, Tobiasz J, Prazuch W, Socha M, Foszner P, Piotrowski D, Gruszczynska K, Sliwinska M, Walecki J, Popiela T, Przybylski G, Nowak M, Fiedor P, Pawlowska M, Flisiak R, Simon K, Zapolska G, Gizycka B, Szurowska E, Marczyk M, Cieszanowski A, Polanska J. POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020–2021). Scientific Data 2023, 10: 348. PMID: 37268643, PMCID: PMC10236395, DOI: 10.1038/s41597-023-02229-5.Peer-Reviewed Original ResearchConceptsLung maskChest X-ray databaseChest X-ray imagesArtificial intelligence toolsCOVID-19 detectionX-ray databaseImage collectionImage databaseX-ray imagesIntelligence toolsSegmentation solutionSegmentation modelDiagnosis methodOriginal radiographsDatasetImagesCOVID-19 diagnosisDatabaseHealthcare systemMaskMedical assistanceSmall numberLung areaSetTool
2021
Autoencoder-based bone removal algorithm from x-ray images of the lung
Kalisz S, Marczyk M. Autoencoder-based bone removal algorithm from x-ray images of the lung. 2021, 00: 1-6. DOI: 10.1109/bibe52308.2021.9635451.Peer-Reviewed Original ResearchX-ray imagesChest X-ray imagesBiomedical image analysisDeep learning techniquesData augmentation techniquesDeep learning modelsNoisy image pairsApplication of machineLearning techniquesAutoencoder architectureFrontal imagesImage pairsLearning modelOnly imagesAugmentation techniquesHigh availabilityRemoval algorithmMedical diagnosisTest setImage analysisImagesImages of patientsExternal test setCOVIDxAutoencoder
2017
Mixture Modeling of 2-D Gel Electrophoresis Spots Enhances the Performance of Spot Detection
Marczyk M. Mixture Modeling of 2-D Gel Electrophoresis Spots Enhances the Performance of Spot Detection. IEEE Transactions On NanoBioscience 2017, 16: 91-99. PMID: 28278480, DOI: 10.1109/tnb.2017.2676725.Peer-Reviewed Original Research
2016
Improved Detection of 2D Gel Electrophoresis Spots by Using Gaussian Mixture Model
Marczyk M. Improved Detection of 2D Gel Electrophoresis Spots by Using Gaussian Mixture Model. Lecture Notes In Computer Science 2016, 9683: 284-294. DOI: 10.1007/978-3-319-38782-6_24.Peer-Reviewed Original ResearchParallel computing capabilitiesSpot detectionGaussian mixture modelGel imagesComputing capabilitiesAutomatic methodEfficient implementationComputational timeBest overall performanceMixture modelAbstract2D gel electrophoresisOverall performanceImagesTrue positionDetectionAlgorithmDatasetSoftwareImplementationCapabilityMethodThousandsAccurate estimates