Automatic source identification of monophonic musical instrument sounds. - Ian Kaminskyj; Andrzej Materka (ICNN, 1995)

Parametric testing of mixed-signal circuits by ANN processing of transient responses. - Andrzej Materka; Michal Strzelecki (J. Electron. Test., 1996)

Parametric signal restoration using artificial neural networks. - Andrzej Materka; Shizuo Mizushina (IEEE Trans. Biomed. Eng., 1996)

On the accuracy of Selected Image Texture Segmentation Methods. - Michal Strzelecki; Andrzej Materka (ICCVG, 2004)

Feature Selection in Unsupervised Context: Clustering Based Approach. - Artur Klepaczko; Andrzej Materka (CORES, 2005)

Classification and segmentation of intracardiac masses in cardiac tumor echocardiograms. - Michal Strzelecki; Andrzej Materka; Jaroslaw Drozdz; Maria Krzeminska-Pakula; Jaroslaw D. Kasprzak (Comput. Medical Imaging Graph., 2006)

MaZda - A software package for image texture analysis. - Piotr M. Szczypinski; Michal Strzelecki; Andrzej Materka; Artur Klepaczko (Comput. Methods Programs Biomed., 2009)

Cluster Analysis in Application to Quantitative Inspection of 3D Vascular Tree Images. - Artur Klepaczko; Marek Kocinski; Andrzej Materka (Computer Recognition Systems 3, 2009)

Combining Evolutionary and Sequential Search Strategies for Unsupervised Feature Selection. - Artur Klepaczko; Andrzej Materka (ICAISC (2), 2010)

On Possibility of Stimulus Parameter Selection for SSVEP-Based Brain-Computer Interface. - Marcin Byczuk; Pawel Poryzala; Andrzej Materka (ICMMI, 2011)

Quantitative description of 3D vascularity images: texture-based approach and its verification through cluster analysis. - Artur Klepaczko; Marek Kocinski; Andrzej Materka (Pattern Anal. Appl., 2011)

3D image texture analysis of simulated and real-world vascular trees. - Marek Kocinski; Artur Klepaczko; Andrzej Materka; Martha Chekenya; Arvid Lundervold (Comput. Methods Programs Biomed., 2012)

Blood Flow Modeling in a Synthetic Cylindrical Vessel for Validating Methods of Vessel Segmentation in MRA Images. - Grzegorz Dwojakowski; Artur Klepaczko; Andrzej Materka (CORES, 2013)

High-speed noninvasive brain-computer interfaces. - Andrzej Materka; Pawel Poryzala (HSI, 2013)

Quantitative and Qualitative Evaluation of Selected Lung MR Image Registration Techniques. - Artur Wujcicki; Andrzej Materka (ICCVG, 2014)

Cluster analysis of CCA coefficients for robust detection of the asynchronous SSVEPs in brain-computer interfaces. - Pawel Poryzala; Andrzej Materka (Biomed. Signal Process. Control., 2014)

Automated modeling of tubular blood vessels in 3D MR angiography images. - Andrzej Materka; Marek Kocinski; Jacek Blumenfeld; Artur Klepaczko; Andreas Deistung; Barthélemy Serres; Jürgen R. Reichenbach (ISPA, 2015)

A centerline-based algorithm for estimation of blood vessels radii from 3D raster images. - Jacek Blumenfeld; Marek Kocinski; Andrzej Materka (SPA, 2015)

Centerline-based surface modeling of blood-vessel trees in cerebral 3D MRA. - Marek Kocinski; Andrzej Materka; Andreas Deistung; Jürgen R. Reichenbach (SPA, 2016)

Texture analysis of 2D spatial distribution of blood pharmacokinetic model parameters for endometrial carcinoma classification. - Marek Kocinski; Andrzej Materka; Arvid Lundervold; Helga Salvesen; Sigmund Ytre-Hauge; Ingfrid Haldorsen (SPA, 2016)

Simulation of MR angiography imaging for validation of cerebral arteries segmentation algorithms. - Artur Klepaczko; Piotr M. Szczypinski; Andreas Deistung; Jürgen R. Reichenbach; Andrzej Materka (Comput. Methods Programs Biomed., 2016)

Towards multi-scale personalized modeling of brain vasculature based on magnetic resonance image processing. - Marek Kocinski; Andrzej Materka; Andreas Deistung; Jürgen R. Reichenbach; Arvid Lundervold (IWSSIP, 2017)

On accuracy of personalized 3D-printed MRI-based models of brain arteries. - Marek Kocinski; Andrzej Materka; Marcin Elgalal; Agata Majos (IWSSIP, 2017)

On extracting skeletons from binary 3D images. - Piotr Zasinski; Marek Kocinski; Andrzej Materka (IWSSIP, 2017)

Rule-based data-driven approach for computer aided diagnosis of the peripheral zone prostate cancer from multiparametric MRI: Proof of concept. - Jakub Jurek; Marek Kocinski; Andrzej Materka; Are Losnegård; Lars Reisæter; Ole J. Halvorsen; Christian Beisland; Jarle Rørvik; Arvid Lundervold (SPA, 2017)

Reconstruction of high-resolution T2W MR images of the prostate using maximum a posteriori approach and Markov random field regularization. - Jakub Jurek; Marek Kocinski; Andrzej Materka; Are Losnegård; Lars Reisæter; Ole J. Halvorsen; Christian Beisland; Jarle Rørvik; Arvid Lundervold (SPA, 2017)

On the Influence of Image Features Wordlength Reduction on Texture Classification. - Michal Strzelecki; Marcin Kociolek; Andrzej Materka (ITIB, 2018)

Dictionary-based through-plane interpolation of prostate cancer T2-weighted MR images. - Jakub Jurek; Marek Kocinski; Andrzej Materka; Are Losnegård; Lars Reisæter; Ole J. Halvorsen; Christian Beisland; Jarle Rørvik; Arvid Lundervold (SPA, 2018)

CRF-Based Clustering of Pharmacokinetic Curves from Dynamic Contrast-Enhanced MR Images. - Jakub Jurek; Mateusz Pelesz; Are Losnegård; Lars Reisæter; Andrzej Wojciechowski; Artur Klepaczko; Ole J. Halvorsen; Christian Beisland; Marek Kocinski; Andrzej Materka; Jarle Rørvik; Arvid Lundervold (SPA, 2018)

Centerline-Radius Polygonal-Mesh Modeling of Bifurcated Blood Vessels in 3D Images using Conformal Mapping. - Carlos Vinhais; Marek Kocinski; Andrzej Materka (SPA, 2018)

On the Effect of DCE MRI Slice Thickness and Noise on Estimated Pharmacokinetic Biomarkers - A Simulation Study. - Jakub Jurek; Lars Reisæter; Marek Kocinski; Andrzej Materka (ICCVG, 2020)

Kidney Segmentation in Renal Magnetic Resonance Imaging - Current Status and Prospects. - Frank G. Zöllner; Marek Kocinski; Laura Hansen; Alena-Kathrin Golla; Amira Serifovic-Trbalic; Arvid Lundervold; Andrzej Materka; Peter Rogelj (IEEE Access, 2021)

Blood-vessels lumen geometric modeling and quantification from 3D images. - Andrzej Materka (SPA, 2022)

Supervised Denoising of Diffusion-Weighted Magnetic Resonance Images Using a Convolutional Neural Network and Transfer Learning. - Jakub Jurek; Andrzej Materka; Kamil Ludwisiak; Agata Majos; Kamil Gorczewski; Kamil Cepuch; Agata Zawadzka (CoRR, 2022)

Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images Using Neural Networks. - Jakub Jurek; Andrzej Materka; Kamil Ludwisiak; Agata Majos; Filip Szczepankiewicz (ICCS (2), 2023)

CNN-Based Quantification of Blood Vessels Lumen in 3D Images. - Andrzej Materka; Jakub Jurek; Marek Kocinski; Artur Klepaczko (ICCS (2), 2023)

Improving the Resolution and SNR of Diffusion Magnetic Resonance Images From a Low-Field Scanner. - Jakub Jurek; Kamil Ludwisiak; Andrzej Materka; Filip Szczepankiewicz (PCBBE, 2023)

MBD: Multi b-value Denoising of Diffusion Magnetic Resonance Images. - Jakub Jurek; Andrzej Materka; Kamil Ludwisiak; Agata Majos; Filip Szczepankiewicz (CoRR, 2024)

Using Deep Learning and B-Splines to Model Blood Vessel Lumen from 3D Images. - Andrzej Materka; Jakub Jurek (Sensors, 2024)