Marek Kocinski
Marek Kocinski
(1) Mohn Medical Imaging and Visualization Centre (MMIV); (2) Department of Biomedicine, University
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Cited by
Cited by
CNN-based superresolution reconstruction of 3D MR images using thick-slice scans
J Jurek, M Kociński, A Materka, M Elgalal, A Majos
Biocybernetics and Biomedical Engineering 40 (1), 111-125, 2020
3D image texture analysis of simulated and real-world vascular trees
M Kociński, A Klepaczko, A Materka, M Chekenya, A Lundervold
Computer methods and programs in biomedicine 107 (2), 140-154, 2012
Kidney segmentation in renal magnetic resonance imaging-current status and prospects
FG Zöllner, M Kociński, L Hansen, AK Golla, AŠ Trbalić, A Lundervold, ...
IEEE access 9, 71577-71605, 2021
Image registration in dynamic renal MRI—current status and prospects
FG Zöllner, A Šerifović-Trbalić, G Kabelitz, M Kociński, A Materka, ...
Magnetic Resonance Materials in Physics, Biology and Medicine 33, 33-48, 2020
Automated modeling of tubular blood vessels in 3D MR angiography images
A Materka, M Kociński, J Blumenfeld, A Klepaczko, A Deistung, B Serres, ...
2015 9th International Symposium on Image and Signal Processing and Analysis …, 2015
Predicting conversion to Alzheimer’s disease in individuals with Mild Cognitive Impairment using clinically transferable features
I Rye, A Vik, M Kocinski, AS Lundervold, AJ Lundervold
Scientific Reports 12 (1), 15566, 2022
Centerline-based surface modeling of blood-vessel trees in cerebral 3D MRA
M Kociński, A Materka, A Deistung, JR Reichenbach
2016 Signal Processing: Algorithms, Architectures, Arrangements, and …, 2016
Assessment of renal function from 3D dynamic contrast enhanced MR images using independent component analysis
FG Zöllner, M Kocinski, A Lundervold, J Rřrvik
Bildverarbeitung für die Medizin 2007: Algorithmen–Systeme–Anwendungen …, 2007
An attempt toward objective assessment of brain tumor vascularization using susceptibility weighted imaging and dedicated computer program–a preliminary study
J Wieczorek-Pastusiak, M Kociński, M Raźniewski, M Strzelecki, ...
Polish Journal of Radiology 78 (1), 50, 2013
Level-set segmentation of noisy 3D images of numerically simulated blood vessels and vascular trees
M Strzelecki, P Szczypinski, A Materka, M Kocinski, A Sankowski
2009 Proceedings of 6th International Symposium on Image and Signal …, 2009
A centerline-based algorithm for estimation of blood vessels radii from 3D raster images
J Blumenfeld, M Kocinski, A Materka
2015 Signal Processing: Algorithms, Architectures, Arrangements, and …, 2015
Automatic segmentation of the venous vessel network based on quantitative susceptibility maps and its application to investigate blood oxygenation
B Serres, A Deistung, A Schäfer, M Kocinski, A Materka, J Reichenbach
Proc Intl Soc Mag Reson Med 23, 0169, 2015
Segmentation of venous vessels using multi-scale vessel enhancement filtering in susceptibility weighted imaging
A Deistung, M Kocinski, P Szczypinski, A Materka, JR Reichenbach
Proceedings 14th Scientific Meeting, International Society for Magnetic …, 2006
Towards multi-scale personalized modeling of brain vasculature based on magnetic resonance image processing
M Kociński, A Materka, A Deistung, J Reichenbach, A Lundervold
2017 International Conference on Systems, Signals and Image Processing …, 2017
Quantitative description of 3D vascularity images: texture-based approach and its verification through cluster analysis
A Klepaczko, M Kociński, A Materka
Pattern Analysis and Applications 14, 415-424, 2011
Ocena metody zbiorów poziomicowych stosowanych do segmentacji trójwymiarowych obrazów fantomów cyfrowych oraz obrazów naczyń krwionośnych mózgu TOF-SWI rezonansu magnetycznego
M Strzelecki, A Materka, M Kociński, P Szczypiński, A Deistung, ...
Acta Bio-Optica et Informatica Medica. Inżynieria Biomedyczna 16 (2), 167-172, 2010
Towards quantification of kidney function by clustering volumetric MRI perfusion time series
FG Zöllner, R Sance, A Anderlik, J Roervik, M Kocinski, A Lundervold
MAGMA 19 (Supplement 7), 103-104, 2006
2D and 3D U-Nets for skull stripping in a large and heterogeneous set of head MRI using fastai
S Kaliyugarasan, M Kocinski, A Lundervold, AS Lundervold
Bibsys Open Journal Systems, 2020
Centerline-radius polygonal-mesh modeling of bifurcated blood vessels in 3D images using conformal mapping
C Vinhais, M Kociński, A Materka
2018 Signal Processing: Algorithms, Architectures, Arrangements, and …, 2018
On the effect of the vascular tree parameters on 3D texture of its images
M Kocinski, A Materka, A Lundervold
ISMRMESMRMB conference, Berlin, 2007
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