| 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 | 1007 | 2018 |
| Brain tumor segmentation with optimized random forest L Lefkovits, S Lefkovits, L Szilágyi International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke …, 2016 | 57 | 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 | 37 | 2015 |
| 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 | 19 | 2018 |
| 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 | 16 | 2018 |
| Gabor feature selection based on information gain S Lefkovits, L Lefkovits Procedia Engineering 181, 892-898, 2017 | 15 | 2017 |
| 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 | 13 | 2016 |
| 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 | 12 | 2016 |
| 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 |
| 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 |
| 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 | 9 | 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 | 9 | 2017 |
| 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 |
| 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 | 7 | 2017 |
| Automatic brain tumor segmentation in multispectral MRI volumetric records L Szilágyi, L Lefkovits, B Iantovics, D Iclănzan, B Benyó International Conference on Neural Information Processing, 174-181, 2015 | 7 | 2015 |
| Distance based k-nn classification of gabor jet local descriptors S Lefkovits, L Lefkovits Procedia Technology 19, 780-785, 2015 | 7 | 2015 |
| Applications of different CNN architectures for palm vein identification S Lefkovits, L Lefkovits, L Szilágyi International Conference on Modeling Decisions for Artificial Intelligence …, 2019 | 6 | 2019 |
| Half iris biometric system based on HOG and LIOP R Malutan, S Emerich, O Pop, L Lefkovits 2016 2nd International Conference on Frontiers of Signal Processing (ICFSP …, 2016 | 6 | 2016 |
| Two-phase MRI brain tumor segmentation using Random Forests and Level Set Methods L Lefkovits, S Lefkovits WSCG 2018 11, 12, 0 | 6* | |
| Dorsal hand vein recognition based on Riesz Wavelet Transform and Local Line Binary Pattern R Malutan, S Emerich, S Crisan, O Pop, L Lefkovits 2017 3rd International Conference on Frontiers of Signal Processing (ICFSP …, 2017 | 5 | 2017 |
