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Artur Klepaczko
Artur Klepaczko
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Titel
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Zitiert von
Jahr
MaZda—a software package for image texture analysis
PM Szczypiński, M Strzelecki, A Materka, A Klepaczko
Computer methods and programs in biomedicine 94 (1), 66-76, 2009
7522009
A software tool for automatic classification and segmentation of 2D/3D medical images
M Strzelecki, P Szczypinski, A Materka, A Klepaczko
Nuclear instruments and methods in physics research section A: Accelerators …, 2013
2522013
Texture and color based image segmentation and pathology detection in capsule endoscopy videos
P Szczypiński, A Klepaczko, M Pazurek, P Daniel
Computer methods and programs in biomedicine 113 (1), 396-411, 2014
1422014
Identifying barley varieties by computer vision
PM Szczypiński, A Klepaczko, P Zapotoczny
Computers and Electronics in Agriculture 110, 1-8, 2015
892015
3D image texture analysis of simulated and real-world vascular trees
M Kociński, A Klepaczko, A Materka, M Chekenya, A Lundervold
Computer methods and programs in biomedicine 107 (2), 140-154, 2012
362012
QMaZda—Software tools for image analysis and pattern recognition
PM Szczypiński, A Klepaczko, M Kociołek
2017 Signal Processing: Algorithms, Architectures, Arrangements, and …, 2017
332017
Computer simulation of magnetic resonance angiography imaging: model description and validation
A Klepaczko, P Szczypiński, G Dwojakowski, M Strzelecki, A Materka
PLoS One 9 (4), e93689, 2014
302014
Simulation of MR angiography imaging for validation of cerebral arteries segmentation algorithms
A Klepaczko, P Szczypiński, A Deistung, JR Reichenbach, A Materka
Computer methods and programs in biomedicine 137, 293-309, 2016
262016
Mazda–a framework for biomedical image texture analysis and data exploration
PM Szczypiński, A Klepaczko
Biomedical texture analysis, 315-347, 2017
232017
MaZda–the software package for textural analysis of biomedical images
PM Szczypiński, M Strzelecki, A Materka, A Klepaczko
Computers in Medical Activity, 73-84, 2009
212009
Automated modeling of tubular blood vessels in 3D MR angiography images
A Materka, M Kociński, J Blumenfeld, A Klepaczko, A Deistung, B Serres, ...
2015 9th International Symposium on Image and Signal Processing and Analysis …, 2015
152015
Convex hull-based feature selection in application to classification of wireless capsule endoscopic images
P Szczypiński, A Klepaczko
Advanced Concepts for Intelligent Vision Systems: 11th International …, 2009
132009
An intelligent automated recognition system of abnormal structures in WCE images
P Szczypiński, A Klepaczko, M Strzelecki
Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS …, 2011
122011
Selecting texture discriminative descriptors of capsule endpscopy images
P Szczypinski, A Klepaczko
2009 Proceedings of 6th International Symposium on Image and Signal …, 2009
102009
A multi-layer perceptron network for perfusion parameter estimation in DCE-MRI studies of the healthy kidney
A Klepaczko, M Strzelecki, M Kociołek, E Eikefjord, A Lundervold
Applied Sciences 10 (16), 5525, 2020
92020
Simulation of phase contrast angiography for renal arterial models
A Klepaczko, P Szczypiński, M Strzelecki, L Stefańczyk
Biomedical engineering online 17, 1-29, 2018
92018
Preprocessing of barley grain images for defect identification
M Kociołek, PM Szczypiński, A Klepaczko
2017 Signal Processing: Algorithms, Architectures, Arrangements, and …, 2017
82017
Functional kidney analysis based on textured DCE-MRI images
M Kociołek, M Strzelecki, A Klepaczko
Information Technology in Biomedicine, 38-49, 2019
72019
Numerical modeling of MR angiography for quantitative validation of image-driven assessment of carotid stenosis
A Klepaczko, A Materka, P Szczypiński, M Strzelecki
IEEE Transactions on Nuclear Science 62 (3), 619-627, 2015
72015
Automated recognition of abnormal structures in wce images based on texture most discriminative descriptors
P Szczypiński, A Klepaczko
Image Processing and Communications Challenges 2, 263-270, 2010
72010
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