Artur Przelaskowski - researchr alias

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2022

Automatic Shuttlecock Fall Detection System in or out of a Court in Badminton Games - Challenges, Problems, and Solutions from a Practical Point of ViewMichal Kopania, Jaroslaw Nowisz, Artur Przelaskowski. sensors, 22(21):8098, 2022. [doi]

Artifact Detection on X-ray of Lung with COVID-19 SymptomsAlicja Moskal, Magdalena Jasionowska-Skop, Grzegorz Ostrek, Artur Przelaskowski. itib 2022: 234-245 [doi]

Semantic Segmentation of Abnormal Lung Areas on Chest X-rays to Detect COVID-19Artur Przelaskowski, Magdalena Jasionowska-Skop, Grzegorz Ostrek. itib 2022: 246-260 [doi]

2021

Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studiesWeronika Hryniewska, Przemyslaw Bombinski, Patryk Szatkowski, Paulina Tomaszewska, Artur Przelaskowski, Przemyslaw Biecek. PR, 118:108035, 2021. [doi]

Realtime flicker removal for fast video streaming and detection of moving objectsJaroslaw Nowisz, Michal Kopania, Artur Przelaskowski. mta, 80(10):14941-14960, 2021. [doi]

2020

On the use of group theory to generalize elements of pairwise comparisons matrix: A cautionary noteWaldemar W. Koczkodaj, Fang Liu 0017, Victor W. Marek, Jirí Mazurek, Miroslaw Mazurek, Ludmil Mikhailov, C. Özel, Witold Pedrycz, Artur Przelaskowski, A. Schumann, Ryszard Smarzewski, Dominik Strzalka, Jacek Szybowski, Y. Yayli. ijar, 124:59-65, 2020. [doi]

2019

Wavelet-like selective representations of multidirectional structures: a mammography caseMagdalena Jasionowska, Artur Przelaskowski. paa, 22(4):1399-1408, 2019. [doi]

Descriptive Seons: Measure of Brain Tissue ImpairmentArtur Przelaskowski, Ewa Sobieszczuk, Izabela Domitrz. itib 2019: 237-248 [doi]

2018

Determination of the Cognitive Model: Compressively Sensed Ground Truth of Cerebral Ischemia to CareArtur Przelaskowski, Ewa Sobieszczuk, Izabela Domitrz. itib 2019: 229-242 [doi]

2017

Feature Extraction Optimized For Prostate Lesion ClassificationPiotr Sobecki, Dominika Zycka-Malesa, Ihor Mykhalevych, Anna Gora, Katarzyna Sklinda, Artur Przelaskowski. icbbt 2017: 22-27 [doi]

2016

Directional Characteristics of Mammographic Spicules in the Complex Wavelet DomainMagdalena Jasionowska, Artur Przelaskowski. itib 2016: 25-38 [doi]

Integrated System for Clinical Decision Support in Emergency Stroke CareArtur Przelaskowski, Ewa Sobieszczuk, Rafal Józwiak, Dominika Zycka-Malesa, Ihor Mykhalevych, Katarzyna Sklinda, Antoni Sobkowicz. itib 2016: 457-473 [doi]

Targeted X-Ray Computed Tomography: Compressed Sensing of Stroke SymptomsArtur Przelaskowski. itib 2016: 119-135 [doi]

2015

Stroke Tissue Pattern Recognition Based on CT Texture AnalysisGrzegorz Ostrek, Artur Nowakowski, Magdalena Jasionowska, Artur Przelaskowski, Kazimierz Szopinski. cores 2016: 81-90 [doi]

Hypodensity extractor: A phantom studyGrzegorz Ostrek, Artur Przelaskowski, Rafal Józwiak. cbm, 56:124-131, 2015. [doi]

Recovery of CT stroke hypodensity - An adaptive variational approachArtur Przelaskowski. cmig, 46:131-141, 2015. [doi]

2013

Reviews of "Cloud computing: automating the virtualized data center" (josyula, v., et al; 2012) and " compressed sensing: theory and applications" (eldar, y.c. and kutyniok, g.; 2012) [book reviews]Piotr Wydrych, Artur Przelaskowski. cm, 51(4):14-15, 2013. [doi]

2012

2011

Improving the predictiveness of ICU medical scales by the method of pairwise comparisonsMohammed Alqarni, Yassen Arabi, Tamar Kakiashvili, Mohammed Khedr, Waldemar W. Koczkodaj, J. Leszek, Artur Przelaskowski, K. Rutkowski. FedCSIS 2011: 11-17 [doi]

2010

Characteristics of Architectural Distortions in Mammograms - Extraction of Texture Orientation with Gabor FiltersMagdalena Jasionowska, Artur Przelaskowski, Rafal Józwiak. iccvg 2010: 420-430 [doi]

The Role of Sparse Data Representation in Semantic Image UnderstandingArtur Przelaskowski. iccvg 2010: 69-80 [doi]

Endobronchial Tumor Mass Indication in Videobronchoscopy - Block based AnalysisArtur Przelaskowski, Rafal Józwiak, Tomasz P. Zielinski, Mariusz Duplaga. visapp 2010: 536-542

2009

Diagnostically Useful Video Content Extraction for Integrated Computer-Aided Bronchoscopy Examination SystemRafal Józwiak, Artur Przelaskowski, Mariusz Duplaga. In Marek Kurzynski, Michal Wozniak, editors, Computer Recognition Systems 3. Volume 57 of Advances in Intelligent and Soft Computing, pages 151-158, Springer, 2009. [doi]

Stroke Slicer for CT-Based Automatic Detection of Acute IschemiaArtur Przelaskowski, Grzegorz Ostrek, Katarzyna Sklinda, Jerzy Walecki, Rafal Józwiak. In Marek Kurzynski, Michal Wozniak, editors, Computer Recognition Systems 3. Volume 57 of Advances in Intelligent and Soft Computing, pages 447-454, Springer, 2009. [doi]

2008

Content-Based Indexing of Medical Images for Digital Radiology ApplicationsPiotr Boninski, Artur Przelaskowski. In Ewa Pietka, Jacek Kawa, editors, Information Technologies in Biomedicine. Volume 47 of Advances in Soft Computing, pages 113-120, Springer, 2008. [doi]

Evaluation of Quality Retaining Diagnostic Credibility for Surgery Video RecordingsMariusz Duplaga, Mikolaj Leszczuk, Zdzislaw Papir, Artur Przelaskowski. visualization 2008: 227-230 [doi]

Approximation of Subtle Pathology Signs in Multiscale Domain for Computer-Aided Ischemic Stroke DiagnosisArtur Przelaskowski, Rafal Józwiak, Grzegorz Ostrek, Katarzyna Sklinda. iccvg 2009: 311-321 [doi]

Stroke Display Extensions: Three Forms of VisualizationArtur Przelaskowski, Katarzyna Sklinda, Grzegorz Ostrek. In Ewa Pietka, Jacek Kawa, editors, Information Technologies in Biomedicine. Volume 47 of Advances in Soft Computing, pages 139-148, Springer, 2008. [doi]

Compression of Bronchoscopy Video: Coding Usefulness and Efficiency AssessmentArtur Przelaskowski, Rafal Józwiak. In Ewa Pietka, Jacek Kawa, editors, Information Technologies in Biomedicine. Volume 47 of Advances in Soft Computing, pages 208-216, Springer, 2008. [doi]

Computer-Aided Diagnosis: From Image Understanding to Integrated AssistanceArtur Przelaskowski. In Ewa Pietka, Jacek Kawa, editors, Information Technologies in Biomedicine. Volume 47 of Advances in Soft Computing, pages 44-54, Springer, 2008. [doi]

Assessment of Uterine Contractile Activity during a Pregnancy Based on a Nonlinear Analysis of the Uterine Electromyographic SignalD. Radomski, Antony Grzanka, S. Graczyk, Artur Przelaskowski. In Ewa Pietka, Jacek Kawa, editors, Information Technologies in Biomedicine. Volume 47 of Advances in Soft Computing, pages 325-331, Springer, 2008. [doi]

2007

Ischemic Stroke Modeling: Multiscale Extraction of Hypodense SignsArtur Przelaskowski, Pawel Bargiel, Katarzyna Sklinda, Elzbieta Zwierzynska. rsfdgrc 2007: 171-181 [doi]

Improved early stroke detection: Wavelet-based perception enhancement of computerized tomography examsArtur Przelaskowski, Katarzyna Sklinda, Pawel Bargiel, J. Walecki, M. Biesiadko-Matuszewska, M. Kazubek. cbm, 37(4):524-533, 2007. [doi]

2004

Wavelet Methods in Improving the Detection of Lesions in MammogramsPawel Bargiel, Artur Przelaskowski, Anna Wróblewska. iccvg 2006: 869-874 [doi]

Compression of mammograms for medical practiceArtur Przelaskowski. SAC 2004: 249-253 [doi]

Experimental Comparison of Lossless Image coders for Medical ApplicationsArtur Przelaskowski. iccvg 2006: 216-221 [doi]

Vector quality measure of lossy compressed medical imagesArtur Przelaskowski. cbm, 34(3):193-207, 2004. [doi]

2001

2000

Modifications of Uniform Quantization Applied in Wavelet CoderArtur Przelaskowski. dcc 2000: 293-302 [doi]

Statistical modeling and threshold selection of wavelet coefficients in lossy image coderArtur Przelaskowski. icassp 2000: 2055-2058 [doi]

1998

Detail Preserving Wavelet-Based Compression with Adaptive Context-Based QuantisationArtur Przelaskowski. FUIN, 34(4):369-388, 1998.

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