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Employment (1)

Lodz University of Technology: Łódź, PL

2006-09-18 to present (Institute of Electronics)
Employment
Source: Self-asserted source
Artur Klepaczko

Works (47)

CNN-Based Quantification of Blood Vessels Lumen in 3D Images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023 | Book
EID:

2-s2.0-85169686462

Part of ISSN: 16113349 03029743
Contributors: Materka, A.; Jurek, J.; Kocinski, M.; Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Whole kidney and renal cortex segmentation in contrast-enhanced MRI using a joint classification and segmentation convolutional neural network

Biocybernetics and Biomedical Engineering
2022 | Journal article
EID:

2-s2.0-85125489553

Part of ISSN: 02085216
Contributors: Klepaczko, A.; Majos, M.; Stefańczyk, L.; Eikefjord, E.; Lundervold, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Deep Convolutional Neural Networks in Application to Kidney Segmentation in the DCE-MR Images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | Book
EID:

2-s2.0-85111364147

Part of ISSN: 16113349 03029743
Contributors: Klepaczko, A.; Eikefjord, E.; Lundervold, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Healthy kidney segmentation in the dce-mr images using a convolutional neural network and temporal signal characteristics

Sensors
2021 | Journal article
EID:

2-s2.0-85116711086

Part of ISSN: 14248220
Contributors: Klepaczko, A.; Eikefjord, E.; Lundervold, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

A multi-layer perceptron network for perfusion parameter estimation in DCE-MRI studies of the healthy kidney

Applied Sciences (Switzerland)
2020 | Journal article
EID:

2-s2.0-85089804480

Part of ISSN: 20763417
Contributors: Klepaczko, A.; Strzelecki, M.; Kociołek, M.; Eikefjord, E.; Lundervold, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Deformable Mesh for Regularization of Three-Dimensional Image Registration

Advances in Intelligent Systems and Computing
2019 | Book
EID:

2-s2.0-85070746181

Part of ISSN: 21945365 21945357
Contributors: Szczypiński, P.M.; Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Functional Kidney Analysis Based on Textured DCE-MRI Images

Advances in Intelligent Systems and Computing
2019 | Book
EID:

2-s2.0-85070749430

Part of ISSN: 21945365 21945357
Contributors: Kociołek, M.; Strzelecki, M.; Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

An artificial neural network for GFR estimation in the DCE-MRI studies of the kidneys

Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
2018 | Conference paper
EID:

2-s2.0-85060454731

Contributors: Strzelecki, M.; Klepaczko, A.; Muszelska, M.; Eikeford, E.; Rorvik, J.; Lundervold, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Automated determination of arterial input function in DCE-MR images of the kidney

Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
2018 | Conference paper
EID:

2-s2.0-85060495388

Contributors: Klepaczko, A.; Muszelska, M.; Eikefjord, E.; Rorvik, J.; Lundervold, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

CRF-Based clustering of pharmacokinetic curves from dynamic contrast-enhanced MR images

Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
2018 | Conference paper
EID:

2-s2.0-85060445493

Contributors: Jurek, J.; Pelesz, M.; Losnegard, A.; Reisaeter, L.; Wojciechowski, A.; Klepaczko, A.; Halvorsen, O.J.; Beisland, C.; Kocinski, M.; Materka, A. et al.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Numerical simulation of the b-SSFP sequence in MR perfusion-weighted imaging of the kidney

Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
2018 | Conference paper
EID:

2-s2.0-85060441348

Contributors: Klepaczko, A.; Skulimowski, P.; Strzelecki, M.; Stefanczyk, L.; Eikefjord, E.; Rorvik, J.; Lundervold, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Simulation of phase contrast angiography for renal arterial models

BioMedical Engineering Online
2018 | Journal article
EID:

2-s2.0-85045392503

Contributors: Klepaczko, A.; Szczypiński, P.; Strzelecki, M.; Stefańczyk, L.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Barley defects identification

International Symposium on Image and Signal Processing and Analysis, ISPA
2017 | Conference paper
EID:

2-s2.0-85037814472

Contributors: Szczypinski, P.M.; Klepaczko, A.; Kociolek, M.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

MaZda - A framework for biomedical image texture analysis and data exploration

Biomedical Texture Analysis: Fundamentals, Tools and Challenges
2017 | Book
EID:

2-s2.0-85068955508

Contributors: Szczypiński, P.M.; Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Preprocessing of barley grain images for defect identification

Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
2017 | Conference paper
EID:

2-s2.0-85041511861

Contributors: Kociolek, M.; Szczypinski, P.M.; Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

QMaZda - Software tools for image analysis and pattern recognition

Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
2017 | Conference paper
EID:

2-s2.0-85041504873

Contributors: Szczypinski, P.M.; Klepaczko, A.; Kociolek, M.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Vessel tree surface modeling for blood flow simulation

Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
2017 | Conference paper
EID:

2-s2.0-85041543220

Contributors: Korczynska-Czurak, I.; Klepaczko, A.; Szczypinski, P.M.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Predicting MR angiography image appearance for realistic models of stenosed carotid and renal arteries

Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
2016 | Conference paper
EID:

2-s2.0-85014252209

Contributors: Klepaczko, A.; Stefanczyk, L.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Simulation of MR angiography imaging for validation of cerebral arteries segmentation algorithms

Computer Methods and Programs in Biomedicine
2016 | Journal article
EID:

2-s2.0-84991593707

Contributors: Klepaczko, A.; Szczypiński, P.; Deistung, A.; Reichenbach, J.R.; Materka, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Automated modeling of tubular blood vessels in 3D MR angiography images

9th International Symposium on Image and Signal Processing and Analysis, ISPA 2015
2015 | Conference paper
EID:

2-s2.0-84978543469

Contributors: Materka, A.; Kocinski, M.; Blumenfeld, J.; Klepaczko, A.; Deistung, A.; Serres, B.; Reichenbach, J.R.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Computer simulation of magnetic resonance angiography imaging. Parallel implementation in heterogeneous computing environment

Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
2015 | Conference paper
EID:

2-s2.0-84944409521

Contributors: Klepaczko, A.; Szczypiński, P.; Dwojakowski, G.; Kociński, M.; Strzelecki, M.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Determination of blood flow parameters in a cylindrical vessel

Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
2015 | Conference paper
EID:

2-s2.0-84944396448

Contributors: Dwojakowski, G.; Klepaczko, A.; Materka, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Identifying barley varieties by computer vision

Computers and Electronics in Agriculture
2015 | Journal article
EID:

2-s2.0-84908464119

Contributors: Szczypiński, P.M.; Klepaczko, A.; Zapotoczny, P.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Numerical Modeling of MR Angiography for Quantitative Validation of Image-Driven Assessment of Carotid Stenosis

IEEE Transactions on Nuclear Science
2015 | Journal article
EID:

2-s2.0-85027933669

Contributors: Klepaczko, A.; Materka, A.; Szczypinski, P.; Strzelecki, M.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Computer simulation of magnetic resonance angiography imaging: Model description and validation

PLoS ONE
2014 | Journal article
EID:

2-s2.0-84899675743

Contributors: Klepaczko, A.; Szczypiński, P.; Dwojakowski, G.; Strzelecki, M.; Materka, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Computer simulation of the SWI protocol in nuclear magnetic resonance imaging

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2014 | Book
EID:

2-s2.0-84921882064

Contributors: Izydorczyk, G.; Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Texture and color based image segmentation and pathology detection in capsule endoscopy videos

Computer Methods and Programs in Biomedicine
2014 | Journal article
EID:

2-s2.0-84887825870

Contributors: Szczypiński, P.; Klepaczko, A.; Pazurek, M.; Daniel, P.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

A GPU accelerated local polynomial approximation algorithm for efficient denoising of MR images

Advances in Intelligent Systems and Computing
2013 | Book
EID:

2-s2.0-84880372442

Contributors: Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

A software tool for automatic classification and segmentation of 2D/3D medical images

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
2013 | Journal article
EID:

2-s2.0-84887969029

Contributors: Strzelecki, M.; Szczypinski, P.; Materka, A.; Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Blood flow modeling in a synthetic cylindrical vessel for validating methods of vessel segmentation in MRA images

Advances in Intelligent Systems and Computing
2013 | Book
EID:

2-s2.0-84880357852

Contributors: Dwojakowski, G.; Klepaczko, A.; Materka, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

3D image texture analysis of simulated and real-world vascular trees

Computer Methods and Programs in Biomedicine
2012 | Journal article
EID:

2-s2.0-84861968427

Contributors: Kociński, M.; Klepaczko, A.; Materka, A.; Chekenya, M.; Lundervold, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

An intelligent automated recognition system of abnormal structures in WCE images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2011 | Book
EID:

2-s2.0-85037992337

Contributors: Szczypiński, P.; Klepaczko, A.; Strzelecki, M.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

An intelligent automated recognition system of abnormal structures in WCE images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2011 | Book
EID:

2-s2.0-79957889092

Contributors: Szczypiński, P.; Klepaczko, A.; Strzelecki, M.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Quantitative description of 3D vascularity images: Texture-based approach and its verification through cluster analysis

Pattern Analysis and Applications
2011 | Journal article
EID:

2-s2.0-80855132141

Contributors: Klepaczko, A.; Kociński, M.; Materka, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Automated recognition of abnormal structures in WCE images based on texture most discriminative descriptors

Advances in Intelligent and Soft Computing
2010 | Book
EID:

2-s2.0-80052939660

Contributors: Szczypiński, P.; Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Automated segmentation of endoscopic images based on local shape-adaptive filtering and color descriptors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010 | Book
EID:

2-s2.0-78650907173

Contributors: Klepaczko, A.; Szczypiński, P.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Combining evolutionary and sequential search strategies for unsupervised feature selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010 | Book
EID:

2-s2.0-77955445488

Contributors: Klepaczko, A.; Materka, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Local polynomial approximation for unsupervised segmentation of endoscopic images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010 | Book
EID:

2-s2.0-78049262496

Contributors: Klepaczko, A.; Szczypiński, P.; Daniel, P.; Pazurek, M.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Cluster analysis in application to quantitative inspection of 3D vascular tree images

Advances in Intelligent and Soft Computing
2009 | Book
EID:

2-s2.0-80855156395

Contributors: Klepaczko, A.; Kocinski, M.; Materka, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Clustering stability-based feature selection for unsupervised texture classification

Machine Graphics and Vision
2009 | Journal article
EID:

2-s2.0-69949144764

Contributors: Klepaczko, A.; Materka, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Convex hull-based feature selection in application to classification of wireless capsule endoscopic images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2009 | Book
EID:

2-s2.0-70549094328

Contributors: Szczypiński, P.; Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

MaZda – the software package for textural analysis of biomedical images

Advances in Intelligent and Soft Computing
2009 | Book
EID:

2-s2.0-84903641791

Contributors: Szczypiński, P.M.; Strzelecki, M.; Materka, A.; Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

MaZda-A software package for image texture analysis

Computer Methods and Programs in Biomedicine
2009 | Journal article
EID:

2-s2.0-60049100264

Contributors: Szczypiński, P.M.; Strzelecki, M.; Materka, A.; Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Selecting texture discriminative descriptors of capsule endpscopy images

ISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis
2009 | Conference paper
EID:

2-s2.0-70450225449

Contributors: Szczypiński, P.; Klepaczko, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Texture analysis in application to quantitative study of 3D vascular tree images

ISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis
2009 | Conference paper
EID:

2-s2.0-70450263428

Contributors: Klepaczko, A.; Kociński, M.; Materka, A.; Chekenya, M.; Lundervold, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Clustering quality based feature selection method

Machine Graphics and Vision
2004 | Journal article
EID:

2-s2.0-24344454735

Contributors: Klepaczko, A.; Materka, A.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Hardware implementation of programmable neural networks for CHEMFET signals analysis in SEWING project

2003 Nanotechnology Conference and Trade Show - Nanotech 2003
2003 | Conference paper
EID:

2-s2.0-6344219797

Contributors: Klepaczko, A.; Napieralski, A.; Kielbik, R.; Moreno, J.M.
Source: Self-asserted source
Artur Klepaczko via Scopus - Elsevier

Peer review (1 review for 1 publication/grant)

Review activity for Magma. (1)