| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1770 | 2018 |
| Brain tumor segmentation with optimized random forest L Lefkovits, S Lefkovits, L Szilágyi Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016 | 71 | 2016 |
| Automatic brain tumor segmentation in multispectral MRI volumes using a fuzzy c-means cascade algorithm L Szilagyi, L Lefkovits, B Benyo 2015 12th international conference on fuzzy systems and knowledge discovery …, 2015 | 58 | 2015 |
| Automatic detection and segmentation of brain tumor using random forest approach Z Kapás, L Lefkovits, L Szilágyi International Conference on Modeling Decisions for Artificial Intelligence …, 2016 | 24 | 2016 |
| Brain tumor segmentation and survival prediction using a cascade of random forests S Lefkovits, L Szilágyi, L Lefkovits International MICCAI Brainlesion Workshop, 334-345, 2018 | 23 | 2018 |
| Gabor feature selection based on information gain S Lefkovits, L Lefkovits Procedia Engineering 181, 892-898, 2017 | 23 | 2017 |
| Low and high grade glioma segmentation in multispectral brain MRI data L Szilágyi, D Iclanzan, Z Kapás, Z Szabó, A Gyorfi, L Lefkovits Acta Universitatis Sapientiae, Informatica 10 (1), 110-132, 2018 | 22 | 2018 |
| Applications of different CNN architectures for palm vein identification S Lefkovits, L Lefkovits, L Szilágyi Modeling Decisions for Artificial Intelligence: 16th International …, 2019 | 16 | 2019 |
| HGG and LGG brain tumor segmentation in multi-modal MRI using pretrained convolutional neural networks of Amazon Sagemaker S Lefkovits, L Lefkovits, L Szilágyi Applied Sciences 12 (7), 3620, 2022 | 15 | 2022 |
| Brain tumor segmentation based on random forest L Lefkovits, S Lefkovits, MF Vaida Memoirs of the Scientific Sections of the Romanian Academy 39 (1), 83-93, 2016 | 15 | 2016 |
| Detecting the eye and its openness with Gabor filters S Lefkovits, L Lefkovits, S Emerich 2017 5th International Symposium on Digital Forensic and Security (ISDFS), 1-5, 2017 | 14 | 2017 |
| Automatic brain tumor segmentation in multispectral MRI volumes using a random forest approach Z Kapás, L Lefkovits, D Iclănzan, Á Győrfi, BL Iantovics, S Lefkovits, ... Pacific-Rim Symposium on Image and Video Technology, 137-149, 2017 | 11 | 2017 |
| CNN approaches for dorsal hand vein based identification S Lefkovits, L Lefkovits, L Szilágyi Václav Skala-UNION Agency, 2019 | 10 | 2019 |
| Random forest feature selection approach for image segmentation L Lefkovits, S Lefkovits, S Emerich, MF Vaida Ninth International Conference on Machine Vision (ICMV 2016) 10341, 227-231, 2017 | 10 | 2017 |
| Comparison of classifiers for brain tumor segmentation L Lefkovits, S Lefkovits, MF Vaida, S Emerich, R Măluțan International Conference on Advancements of Medicine and Health Care through …, 2017 | 10 | 2017 |
| Automatic segmentation of low-grade brain tumor using a random forest classifier and Gabor features Z Szabó, Z Kapás, L Lefkovits, Á Győrfi, SM Szilágyi, L Szilágyi | 9 | 2018 |
| Patch based descriptors for iris recognition S Emerich, R Măluţan, E Lupu, L Lefkovits 2016 IEEE 12th International Conference on Intelligent Computer …, 2016 | 9 | 2016 |
| A review on suppressed fuzzy c-means clustering models L Szilágyi, L Lefkovits, D Iclanzan Acta Universitatis Sapientiae Informatica 12 (2), 302-324, 2020 | 8 | 2020 |
| Distance based k-nn classification of gabor jet local descriptors S Lefkovits, L Lefkovits Procedia Technology 19, 780-785, 2015 | 8 | 2015 |
| U-Net architecture variants for brain tumor segmentation of histogram corrected images S Lefkovits, L Lefkovits Acta Universitatis Sapientiae, Informatica 14 (1), 49-74, 2022 | 7 | 2022 |
Szidónia LefkovitsAssociate Professor in Computer Science, University of Medicine, Pharmacy, Science, and TechnologyVerified email at umfst.ro
