| 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 | 42 | 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 | 36 | 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 | 30 | 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 | 27 | 2020 |
| 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 | 18 | 2022 |
| 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 | 15 | 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 | 11 | 2016 |
| 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 | 9 | 2013 |
| Assessment of renal function from 3D dynamic contrast enhanced MR images using independent component analysis FG Zöllner, M Kocinski, A Lundervold, J Rørvik Bildverarbeitung für die Medizin 2007: Algorithmen–Systeme–Anwendungen …, 2007 | 9 | 2007 |
| 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 | 7 | 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 | 6 | 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 | 6 | 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 | 6 | 2011 |
| 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 | 6 | 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 | 5 | 2017 |
| 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 | 5 | 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 | 5 | 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 | 4 | 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 | 4 | 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 | 4 | 2007 |
