Skip to main content

Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging

Hann E. et al, (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11765 LNCS, 750 - 758

Systolic myocardial volume gain in dilated, hypertrophied and normal heart. CMR study.

Mazurkiewicz Ł. et al, (2017), Clin Radiol, 72, 286 - 292

Block matching and B-spline methods in deformation estimation in synthetic left ventricular model with nontransmural infarction

Zmigrodzki J. et al, (2017), Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 10139

Magnetic resonance quantification of myocardial perfusion reserve using Fermi function model: Comparison to visual qualification

Kubik T. et al, (2016), Advances in Intelligent Systems and Computing, 393, 105 - 110

Displacement field calculation from CINE MRI using non-rigid image registration

Werys K. et al, (2015), Proceedings of the 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2015, 2, 672 - 675

Gabor-filter based longitudinal strain estimation from tagged magnetic resonance imaging

Werys K. et al, (2015), Proceedings of the 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2015, 1, 187 - 191

Validation of the Polyvinyl Alcohol Cryogel with glycerol as a material for phantoms in magnetic resonance imaging

Werys K. et al, (2015), Proceedings of the 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2015, 2, 656 - 659

Non-invasive cardiac imaging artifacts

Lipczyñska M. et al, (2015), Kardiologia Polska, 73, 60 - 70

Left ventricle phantom and experimental setup for MRI and echocardiography - Preliminary results of data acquisitions

Cygan S. et al, (2014), Biocybernetics and Biomedical Engineering, 34, 19 - 24