Artur Klepaczko

37 papers B 1C 2Misc 1Journal 8Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	VesselKnife - software for the analysis of tubular structures in biomedical images. Comput. Methods Programs Biomed. Piotr M. Szczypinski, Artur Klepaczko, Robert Olbrycht
2024	—	`ed.`	The Latest Developments and Challenges in Biomedical Engineering - Proceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering, PCBBE 2023, Lodz, Poland, September 27-29, 2023 PCBBE Pawel Strumillo, Artur Klepaczko, Michal Strzelecki, Dorota Bociaga
2024	—	`conf`	Transfer learning in application to semantic segmentation of 3D indoor scenes scanned with a depth camera. SPA Ewelina Rosiak, Artur Klepaczko
2023	—	`conf`	CNN-Based Quantification of Blood Vessels Lumen in 3D Images. ICCS (2) Andrzej Materka, Jakub Jurek, Marek Kocinski, Artur Klepaczko
2023	—	`conf`	Cerebral Vessel Segmentation in CE-MR Images Using Deep Learning and Synthetic Training Datasets. ICCS (4) Artur Klepaczko
2023	—	`conf`	Texture Analysis Versus Deep Learning in MRI-based Classification of Renal Failure. PCBBE Artur Klepaczko, Marcin Majos, Ludomir Stefanczyk, Katarzyna Szychowska, Ilona Kurnatowska
2021	—	`conf`	Deep Convolutional Neural Networks in Application to Kidney Segmentation in the DCE-MR Images. ICCS (3) Artur Klepaczko, Eli Eikefjord, Arvid Lundervold
2021	J	`jnl`	Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics. Sensors Artur Klepaczko, Eli Eikefjord, Arvid Lundervold
2019	—	`conf`	Deformable Mesh for Regularization of Three-Dimensional Image Registration. ITIB Piotr M. Szczypinski, Artur Klepaczko
2019	—	`conf`	Functional Kidney Analysis Based on Textured DCE-MRI Images. ITIB Marcin Kociolek, Michal Strzelecki, Artur Klepaczko
2018	—	`conf`	An artificial neural network for GFR estimation in the DCE-MRI studies of the kidneys. SPA Michal Strzelecki, Artur Klepaczko, Martyna Muszelska, Eli Eikefjord, Jarle Rørvik, Arvid Lundervold
2018	—	`conf`	Automated determination of arterial input function in DCE-MR images of the kidney. SPA Artur Klepaczko, Martyna Muszelska, Eli Eikefjord, Jarle Rørvik, Arvid Lundervold
2018	—	`conf`	CRF-Based Clustering of Pharmacokinetic Curves from Dynamic Contrast-Enhanced MR Images. SPA 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
2018	—	`conf`	Numerical simulation of the b-SSFP sequence in MR perfusion-weighted imaging of the kidney. SPA Artur Klepaczko, Piotr Skulimowski, Michal Strzelecki, Ludomir Stefanczyk, Eli Eikefjord, Jarle Rørvik, Arvid Lundervold
2017	C	`conf`	Barley defects identification. ISPA Piotr M. Szczypinski, Artur Klepaczko, Marcin Kociolek
2017	—	`conf`	Preprocessing of barley grain images for defect identification. SPA Marcin Kociolek, Piotr M. Szczypinski, Artur Klepaczko
2017	—	`conf`	QMaZda - Software tools for image analysis and pattern recognition. SPA Piotr M. Szczypinski, Artur Klepaczko, Marcin Kociolek
2017	—	`conf`	Vessel tree surface modeling for blood flow simulation. SPA Izabella Korczynska-Czurak, Artur Klepaczko, Piotr M. Szczypinski
2016	—	`conf`	Predicting MR angiography image appearance for realistic models of stenosed carotid and renal arteries. SPA Artur Klepaczko, Ludomir Stefanczyk
2016	J	`jnl`	Simulation of MR angiography imaging for validation of cerebral arteries segmentation algorithms. Comput. Methods Programs Biomed. Artur Klepaczko, Piotr M. Szczypinski, Andreas Deistung, Jürgen R. Reichenbach, Andrzej Materka
2015	C	`conf`	Automated modeling of tubular blood vessels in 3D MR angiography images. ISPA Andrzej Materka, Marek Kocinski, Jacek Blumenfeld, Artur Klepaczko, Andreas Deistung, Barthélemy Serres, Jürgen R. Reichenbach
2015	J	`jnl`	Identifying barley varieties by computer vision. Comput. Electron. Agric. Piotr M. Szczypinski, Artur Klepaczko, Piotr Zapotoczny
2014	Misc	`conf`	Computer Simulation of the SWI Protocol in Nuclear Magnetic Resonance Imaging. ICCVG Grzegorz Izydorczyk, Artur Klepaczko
2014	J	`jnl`	Texture and color based image segmentation and pathology detection in capsule endoscopy videos. Comput. Methods Programs Biomed. Piotr M. Szczypinski, Artur Klepaczko, Marek Pazurek, Piotr Daniel
2013	—	`conf`	A GPU Accelerated Local Polynomial Approximation Algorithm for Efficient Denoising of MR Images. CORES Artur Klepaczko
2013	—	`conf`	Blood Flow Modeling in a Synthetic Cylindrical Vessel for Validating Methods of Vessel Segmentation in MRA Images. CORES Grzegorz Dwojakowski, Artur Klepaczko, Andrzej Materka
2012	J	`jnl`	3D image texture analysis of simulated and real-world vascular trees. Comput. Methods Programs Biomed. Marek Kocinski, Artur Klepaczko, Andrzej Materka, Martha Chekenya, Arvid Lundervold
2011	—	`conf`	An Intelligent Automated Recognition System of Abnormal Structures in WCE Images. HAIS (1) Piotr M. Szczypinski, Artur Klepaczko, Michal Strzelecki
2011	J	`jnl`	Quantitative description of 3D vascularity images: texture-based approach and its verification through cluster analysis. Pattern Anal. Appl. Artur Klepaczko, Marek Kocinski, Andrzej Materka
2010	—	`conf`	Automated Recognition of Abnormal Structures in WCE Images Based on Texture Most Discriminative Descriptors. IP&C Piotr M. Szczypinski, Artur Klepaczko
2010	—	`conf`	Automated Segmentation of Endoscopic Images Based on Local Shape-Adaptive Filtering and Color Descriptors. ACIVS (1) Artur Klepaczko, Piotr M. Szczypinski
2010	—	`conf`	Combining Evolutionary and Sequential Search Strategies for Unsupervised Feature Selection. ICAISC (2) Artur Klepaczko, Andrzej Materka
2010	—	`conf`	Local Polynomial Approximation for Unsupervised Segmentation of Endoscopic Images. ICCVG (2) Artur Klepaczko, Piotr M. Szczypinski, Piotr Daniel, Marek Pazurek
2009	—	`ch.`	Cluster Analysis in Application to Quantitative Inspection of 3D Vascular Tree Images. Computer Recognition Systems 3 Artur Klepaczko, Marek Kocinski, Andrzej Materka
2009	B	`conf`	Convex Hull-Based Feature Selection in Application to Classification of Wireless Capsule Endoscopic Images. ACIVS Piotr M. Szczypinski, Artur Klepaczko
2009	J	`jnl`	MaZda - A software package for image texture analysis. Comput. Methods Programs Biomed. Piotr M. Szczypinski, Michal Strzelecki, Andrzej Materka, Artur Klepaczko
2005	—	`conf`	Feature Selection in Unsupervised Context: Clustering Based Approach. CORES Artur Klepaczko, Andrzej Materka