Marek Kocinski
Marek Kocinski
(1) Mohn Medical Imaging and Visualization Centre (MMIV); (2) Department of Biomedicine, University
Verified email at
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
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
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
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
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20