Artur Klepaczko

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 19

Top Topics

Image Analysis And Pattern Recognition

Gpu Accelerated

Top Venues

Publications

Artur Klepaczko, Marcin Majos, Ludomir Stefanczyk, Katarzyna Szychowska, Ilona Kurnatowska
Texture Analysis Versus Deep Learning in MRI-based Classification of Renal Failure. PCBBE (2023)
Artur Klepaczko
Cerebral Vessel Segmentation in CE-MR Images Using Deep Learning and Synthetic Training Datasets. ICCS (4) (2023)
Andrzej Materka, Jakub Jurek, Marek Kocinski, Artur Klepaczko
CNN-Based Quantification of Blood Vessels Lumen in 3D Images. ICCS (2) (2023)
Artur Klepaczko, Eli Eikefjord, Arvid Lundervold
Deep Convolutional Neural Networks in Application to Kidney Segmentation in the DCE-MR Images. ICCS (3) (2021)
Artur Klepaczko, Eli Eikefjord, Arvid Lundervold
Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics. Sensors 21 (20) (2021)
Piotr M. Szczypinski, Artur Klepaczko
Deformable Mesh for Regularization of Three-Dimensional Image Registration. ITIB (2019)
Marcin Kociolek, Michal Strzelecki, Artur Klepaczko
Functional Kidney Analysis Based on Textured DCE-MRI Images. ITIB (2019)
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
CRF-Based Clustering of Pharmacokinetic Curves from Dynamic Contrast-Enhanced MR Images. SPA (2018)
Artur Klepaczko, Martyna Muszelska, Eli Eikefjord, Jarle Rørvik, Arvid Lundervold
Automated determination of arterial input function in DCE-MR images of the kidney. SPA (2018)
Michal Strzelecki, Artur Klepaczko, Martyna Muszelska, Eli Eikefjord, Jarle Rørvik, Arvid Lundervold
An artificial neural network for GFR estimation in the DCE-MRI studies of the kidneys. SPA (2018)
Artur Klepaczko, Piotr Skulimowski, Michal Strzelecki, Ludomir Stefanczyk, Eli Eikefjord, Jarle Rørvik, Arvid Lundervold
Numerical simulation of the b-SSFP sequence in MR perfusion-weighted imaging of the kidney. SPA (2018)
Izabella Korczynska-Czurak, Artur Klepaczko, Piotr M. Szczypinski
Vessel tree surface modeling for blood flow simulation. SPA (2017)
Marcin Kociolek, Piotr M. Szczypinski, Artur Klepaczko
Preprocessing of barley grain images for defect identification. SPA (2017)
Piotr M. Szczypinski, Artur Klepaczko, Marcin Kociolek
QMaZda - Software tools for image analysis and pattern recognition. SPA (2017)
Piotr M. Szczypinski, Artur Klepaczko, Marcin Kociolek
Barley defects identification. ISPA (2017)
Artur Klepaczko, Piotr M. Szczypinski, Andreas Deistung, Jürgen R. Reichenbach, Andrzej Materka
Simulation of MR angiography imaging for validation of cerebral arteries segmentation algorithms. Comput. Methods Programs Biomed. 137 (2016)
Artur Klepaczko, Ludomir Stefanczyk
Predicting MR angiography image appearance for realistic models of stenosed carotid and renal arteries. SPA (2016)
Andrzej Materka, Marek Kocinski, Jacek Blumenfeld, Artur Klepaczko, Andreas Deistung, Barthélemy Serres, Jürgen R. Reichenbach
Automated modeling of tubular blood vessels in 3D MR angiography images. ISPA (2015)
Piotr M. Szczypinski, Artur Klepaczko, Piotr Zapotoczny
Identifying barley varieties by computer vision. Comput. Electron. Agric. 110 (2015)
Grzegorz Izydorczyk, Artur Klepaczko
Computer Simulation of the SWI Protocol in Nuclear Magnetic Resonance Imaging. ICCVG (2014)
Piotr M. Szczypinski, Artur Klepaczko, Marek Pazurek, Piotr Daniel
Texture and color based image segmentation and pathology detection in capsule endoscopy videos. Comput. Methods Programs Biomed. 113 (1) (2014)
Artur Klepaczko
A GPU Accelerated Local Polynomial Approximation Algorithm for Efficient Denoising of MR Images. CORES (2013)
Grzegorz Dwojakowski, Artur Klepaczko, Andrzej Materka
Blood Flow Modeling in a Synthetic Cylindrical Vessel for Validating Methods of Vessel Segmentation in MRA Images. CORES (2013)
Marek Kocinski, Artur Klepaczko, Andrzej Materka, Martha Chekenya, Arvid Lundervold
3D image texture analysis of simulated and real-world vascular trees. Comput. Methods Programs Biomed. 107 (2) (2012)
Piotr M. Szczypinski, Artur Klepaczko, Michal Strzelecki
An Intelligent Automated Recognition System of Abnormal Structures in WCE Images. HAIS (1) (2011)
Artur Klepaczko, Marek Kocinski, Andrzej Materka
Quantitative description of 3D vascularity images: texture-based approach and its verification through cluster analysis. Pattern Anal. Appl. 14 (4) (2011)
Artur Klepaczko, Andrzej Materka
Combining Evolutionary and Sequential Search Strategies for Unsupervised Feature Selection. ICAISC (2) (2010)
Piotr M. Szczypinski, Artur Klepaczko
Automated Recognition of Abnormal Structures in WCE Images Based on Texture Most Discriminative Descriptors. IP&C (2010)
Artur Klepaczko, Piotr M. Szczypinski, Piotr Daniel, Marek Pazurek
Local Polynomial Approximation for Unsupervised Segmentation of Endoscopic Images. ICCVG (2) (2010)
Artur Klepaczko, Piotr M. Szczypinski
Automated Segmentation of Endoscopic Images Based on Local Shape-Adaptive Filtering and Color Descriptors. ACIVS (1) (2010)
Piotr M. Szczypinski, Artur Klepaczko
Convex Hull-Based Feature Selection in Application to Classification of Wireless Capsule Endoscopic Images. ACIVS (2009)
Piotr M. Szczypinski, Michal Strzelecki, Andrzej Materka, Artur Klepaczko
MaZda - A software package for image texture analysis. Comput. Methods Programs Biomed. 94 (1) (2009)
Artur Klepaczko, Andrzej Materka
Feature Selection in Unsupervised Context: Clustering Based Approach. CORES (2005)