K
Kamil Novak
Researcher at Brno University of Technology
Publications - 8
Citations - 112
Kamil Novak is an academic researcher from Brno University of Technology. The author has contributed to research in topics: Polarized light microscopy & Polarizer. The author has an hindex of 4, co-authored 8 publications receiving 82 citations.
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Journal ArticleDOI
Structure-based constitutive model can accurately predict planar biaxial properties of aortic wall tissue.
TL;DR: The structure and mechanical properties of adventitia are well designed to protect the media from axial and circumferential overloads, which explains the origin of wall anisotropy seen at this strain level.
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Biomechanical indices are more sensitive than diameter in predicting rupture of asymptomatic abdominal aortic aneurysms.
Stanislav Polzer,T. Christian Gasser,T. Christian Gasser,Robert Vlachovský,Luboš Kubíček,Lukas Lambert,Vojtěch Man,Kamil Novak,Martin Slažanský,Jiří Burša,Robert Staffa +10 more
TL;DR: The data demonstrated that the biomechanical rupture risk assessment is superior to maximal diameter in predicting AAA rupture up to 9 months ahead and significantly decreases the false-positive rate.
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Automatic Evaluation of Collagen Fiber Directions from Polarized Light Microscopy Images.
TL;DR: A new automated method for evaluation of collagen fiber direction from two-dimensional polarized light microscopy images (2D PLM) has been proposed and has the potential to replace manual measurements of collagen orientation via PLM.
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Correlation between transversal and orthogonal maximal diameters of abdominal aortic aneurysms and alternative rupture risk predictors
Kamil Novak,Stanislav Polzer,Tomas Krivka,Robert Vlachovsky,Robert Staffa,Luboš Kubíček,Lukas Lambert,Jiri Bursa +7 more
TL;DR: Investigating their correlations with alternative rupture risk indicators as peak wall stress (PWS) and peak wall rupture risk (PWRR) to decide which Dmax is more relevant in AAA rupture risk assessment confirmed that orthoDmax is better correlated with theAlternative rupture risk predictors PWS and PWRR for angulated AAAs while there is no difference between ortho Dmax and axialDmax for straight AAAs.
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Applicability of simplified computational models in prediction of peak wall stress in abdominal aortic aneurysms.
TL;DR: It was shown that for majority of AAAs the differences are insignificant but for some 10% of them their relative differences exceed 20% which may lead to incorrect decisions on their surgical treatment, which favours application of realistic material models in clinical practise although they are much more time-consuming.