Introduction to radiomics ME Mayerhoefer, A Materka, G Langs, I Häggström, P Szczypiński, ... Journal of Nuclear Medicine 61 (4), 488-495, 2020 | 1008 | 2020 |
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 | 772 | 2009 |
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 | 267 | 2013 |
Discrete wavelet transform-derived features for digital image texture analysis M Kociołek, A Materka, M Strzelecki, P Szczypiński international conference on signals and electronic systems 2, 99-104, 2001 | 203 | 2001 |
Mazda-a software for texture analysis PM Szczypinski, M Strzelecki, A Materka 2007 international symposium on information technology convergence (ISITC …, 2007 | 153 | 2007 |
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 | 144 | 2014 |
Prediction of sensory texture quality attributes of cooked potatoes by NMR-imaging (MRI) of raw potatoes in combination with different image analysis methods AK Thybo, PM Szczypiński, AH Karlsson, S Dønstrup, ... Journal of food engineering 61 (1), 91-100, 2004 | 103 | 2004 |
Identifying barley varieties by computer vision PM Szczypiński, A Klepaczko, P Zapotoczny Computers and Electronics in Agriculture 110, 1-8, 2015 | 93 | 2015 |
A model of deformable rings for interpretation of wireless capsule endoscopic videos PM Szczypiński, RD Sriram, PVJ Sriram, DN Reddy Medical Image Analysis 13 (2), 312-324, 2009 | 71 | 2009 |
Varietal classification of barley by convolutional neural networks M Kozłowski, P Górecki, PM Szczypiński Biosystems Engineering 184, 155-165, 2019 | 65 | 2019 |
Computer vision algorithm for barley kernel identification, orientation estimation and surface structure assessment PM Szczypiński, P Zapotoczny Computers and electronics in agriculture 87, 32-38, 2012 | 45 | 2012 |
MaZda user’s manual A Materka, P Szczypinski Adres: www. eletel. p. lodz. pl/programy/mazda/download/mazda_manual. pdf …, 2002 | 45 | 2002 |
Quantitative analysis of lumbar intervertebral disc abnormalities at 3.0 Tesla: value of T2 texture features and geometric parameters ME Mayerhoefer, D Stelzeneder, W Bachbauer, GH Welsch, TC Mamisch, ... NMR in Biomedicine 25 (6), 866-872, 2012 | 44 | 2012 |
Evaluation of the quality of cold meats by computer-assisted image analysis P Zapotoczny, PM Szczypiński, T Daszkiewicz LWT-Food Science and Technology 67, 37-49, 2016 | 43 | 2016 |
QMaZda—Software tools for image analysis and pattern recognition PM Szczypiński, A Klepaczko, M Kociołek 2017 Signal Processing: Algorithms, Architectures, Arrangements, and …, 2017 | 33 | 2017 |
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 | 30 | 2014 |
Academic Press: Cambridge PM Szczypinski, A Klepaczko, A Depeursinge, OS Al-Kadi, JR Mitchell MA, USA, 2017 | 26 | 2017 |
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 | 26 | 2016 |
Computer program for image texture analysis in PhD students laboratory P Szczypiński, M Kociołek, A Materka, M Strzelecki International Conference on Signals and Electronic Systems, Łódź-Poland, 255-262, 2001 | 26 | 2001 |
MaZda–a framework for biomedical image texture analysis and data exploration PM Szczypiński, A Klepaczko Biomedical texture analysis, 315-347, 2017 | 24 | 2017 |