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

Convex Hull-Based Feature Selection in Application to Classification of Wireless Capsule Endoscopic Images. - Piotr M. Szczypinski; Artur Klepaczko (ACIVS, 2009)

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)

Automated Segmentation of Endoscopic Images Based on Local Shape-Adaptive Filtering and Color Descriptors. - Artur Klepaczko; Piotr M. Szczypinski (ACIVS (1), 2010)

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

Local Polynomial Approximation for Unsupervised Segmentation of Endoscopic Images. - Artur Klepaczko; Piotr M. Szczypinski; Piotr Daniel; Marek Pazurek (ICCVG (2), 2010)

Automated Recognition of Abnormal Structures in WCE Images Based on Texture Most Discriminative Descriptors. - Piotr M. Szczypinski; Artur Klepaczko (IP&C, 2010)

An Intelligent Automated Recognition System of Abnormal Structures in WCE Images. - Piotr M. Szczypinski; Artur Klepaczko; Michal Strzelecki (HAIS (1), 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)

A GPU Accelerated Local Polynomial Approximation Algorithm for Efficient Denoising of MR Images. - Artur Klepaczko (CORES, 2013)

Computer Simulation of the SWI Protocol in Nuclear Magnetic Resonance Imaging. - Grzegorz Izydorczyk; Artur Klepaczko (ICCVG, 2014)

Texture and color based image segmentation and pathology detection in capsule endoscopy videos. - Piotr M. Szczypinski; Artur Klepaczko; Marek Pazurek; Piotr Daniel (Comput. Methods Programs Biomed., 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)

Identifying barley varieties by computer vision. - Piotr M. Szczypinski; Artur Klepaczko; Piotr Zapotoczny (Comput. Electron. Agric., 2015)

Predicting MR angiography image appearance for realistic models of stenosed carotid and renal arteries. - Artur Klepaczko; Ludomir Stefanczyk (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)

Barley defects identification. - Piotr M. Szczypinski; Artur Klepaczko; Marcin Kociolek (ISPA, 2017)

Preprocessing of barley grain images for defect identification. - Marcin Kociolek; Piotr M. Szczypinski; Artur Klepaczko (SPA, 2017)

Vessel tree surface modeling for blood flow simulation. - Izabella Korczynska-Czurak; Artur Klepaczko; Piotr M. Szczypinski (SPA, 2017)

QMaZda - Software tools for image analysis and pattern recognition. - Piotr M. Szczypinski; Artur Klepaczko; Marcin Kociolek (SPA, 2017)

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)

Automated determination of arterial input function in DCE-MR images of the kidney. - Artur Klepaczko; Martyna Muszelska; Eli Eikefjord; Jarle Rørvik; Arvid Lundervold (SPA, 2018)

Numerical simulation of the b-SSFP sequence in MR perfusion-weighted imaging of the kidney. - Artur Klepaczko; Piotr Skulimowski; Michal Strzelecki; Ludomir Stefanczyk; Eli Eikefjord; Jarle Rørvik; Arvid Lundervold (SPA, 2018)

An artificial neural network for GFR estimation in the DCE-MRI studies of the kidneys. - Michal Strzelecki; Artur Klepaczko; Martyna Muszelska; Eli Eikefjord; Jarle Rørvik; Arvid Lundervold (SPA, 2018)

Functional Kidney Analysis Based on Textured DCE-MRI Images. - Marcin Kociolek; Michal Strzelecki; Artur Klepaczko (ITIB, 2019)

Deformable Mesh for Regularization of Three-Dimensional Image Registration. - Piotr M. Szczypinski; Artur Klepaczko (ITIB, 2019)

Deep Convolutional Neural Networks in Application to Kidney Segmentation in the DCE-MR Images. - Artur Klepaczko; Eli Eikefjord; Arvid Lundervold (ICCS (3), 2021)

Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics. - Artur Klepaczko; Eli Eikefjord; Arvid Lundervold (Sensors, 2021)

Cerebral Vessel Segmentation in CE-MR Images Using Deep Learning and Synthetic Training Datasets. - Artur Klepaczko (ICCS (4), 2023)

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

Texture Analysis Versus Deep Learning in MRI-based Classification of Renal Failure. - Artur Klepaczko; Marcin Majos; Ludomir Stefanczyk; Katarzyna Szychowska; Ilona Kurnatowska (PCBBE, 2023)

Transfer learning in application to semantic segmentation of 3D indoor scenes scanned with a depth camera. - Ewelina Rosiak; Artur Klepaczko (SPA, 2024)

VesselKnife - software for the analysis of tubular structures in biomedical images. - Piotr M. Szczypinski; Artur Klepaczko; Robert Olbrycht (Comput. Methods Programs Biomed., 2025)