| Extraction of airways from CT (EXACT'09) P Lo, B Van Ginneken, JM Reinhardt, T Yavarna, PA De Jong, B Irving, ... IEEE Transactions on Medical Imaging 31 (11), 2093-2107, 2012 | 295 | 2012 |
| Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ... Medical image analysis 18 (7), 1217-1232, 2014 | 171 | 2014 |
| Noise adaptive switching median-based filter for impulse noise removal from extremely corrupted images A Fabijańska, D Sankowski IET image processing 5 (5), 472-480, 2011 | 121 | 2011 |
| Segmentation of corneal endothelium images using a U-Net-based convolutional neural network A Fabijańska Artificial intelligence in medicine 88, 1-13, 2018 | 109 | 2018 |
| Brain tumor segmentation from MRI data sets using region growing approach T Węgliński, A Fabijańska Perspective Technologies and Methods in MEMS Design, 185-188, 2011 | 82 | 2011 |
| Image processing and analysis algorithms for yarn hairiness determination A Fabijańska, L Jackowska-Strumiłło Machine Vision and Applications 23, 527-540, 2012 | 66 | 2012 |
| Two-pass region growing algorithm for segmenting airway tree from MDCT chest scans A Fabijańska Computerized Medical Imaging and Graphics 33 (7), 537-546, 2009 | 65 | 2009 |
| Variance filter for edge detection and edge-based image segmentation A Fabijańska Perspective Technologies and Methods in MEMS Design, 151-154, 2011 | 53 | 2011 |
| A survey of subpixel edge detection methods for images of heat-emitting metal specimens A Fabijańska International Journal of Applied Mathematics and Computer Science 22 (3 …, 2012 | 51 | 2012 |
| Wood species automatic identification from wood core images with a residual convolutional neural network A Fabijańska, M Danek, J Barniak Computers and Electronics in Agriculture 181, 105941, 2021 | 37 | 2021 |
| DeepDendro–A tree rings detector based on a deep convolutional neural network A Fabijańska, M Danek Computers and electronics in agriculture 150, 353-363, 2018 | 36 | 2018 |
| Viral genome deep classifier A Fabijańska, S Grabowski IEEE Access 7, 81297-81307, 2019 | 33 | 2019 |
| CNN-watershed: A watershed transform with predicted markers for corneal endothelium image segmentation A Kucharski, A Fabijańska Biomedical Signal Processing and Control 68, 102805, 2021 | 31 | 2021 |
| Computer vision system for high temperature measurements of surface properties A Fabijańska, D Sankowski Machine Vision and Applications 20, 411-421, 2009 | 31 | 2009 |
| Towards automatic tree rings detection in images of scanned wood samples A Fabijańska, M Danek, J Barniak, A Piórkowski Computers and Electronics in Agriculture 140, 279-289, 2017 | 29 | 2017 |
| A survey of thresholding algorithms on yarn images A Fabijańska 2010 Proceedings of VIth International Conference on Perspective …, 2010 | 26 | 2010 |
| Graph convolutional networks for enhanced resolution 3D Electrical Capacitance Tomography image reconstruction A Fabijańska, R Banasiak Applied Soft Computing 110, 107608, 2021 | 25 | 2021 |
| A novel approach for quantification of time–intensity curves in a DCE-MRI image series with an application to prostate cancer A Fabijańska Computers in biology and medicine 73, 119-130, 2016 | 24 | 2016 |
| Automatic segmentation of corneal endothelial cells from microscopy images A Fabijańska Biomedical Signal Processing and Control 47, 145-158, 2019 | 23 | 2019 |
| Corneal endothelium image segmentation using feedforward neural network A Fabijańska 2017 Federated conference on computer science and information systems …, 2017 | 22 | 2017 |
Tomasz WęglińskiLodz University of TechnologyZweryfikowany adres z kis.p.lodz.pl
