| 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 | 2159 | 2018 |
| Brain Tumor Segmentation with Optimized Random Forest Lefkovits, László, S Lefkovits, L Szilágyi LNCS 10154, 88-99, 2017 | 80 | 2017 |
| 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 | 27 | 2018 |
| Gabor feature selection based on information gain S Lefkovits, L Lefkovits Procedia Engineering 181, 892-898, 2017 | 25 | 2017 |
| 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 | 24 | 2022 |
| Applications of Different CNN Architectures for Palm Vein Identification S Lefkovits, L Lefkovits, L Szilagyi International Conference on Modeling Decisions for Artificial Intelligence …, 2019 | 18 | 2019 |
| 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 |
| 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 | 13 | 2022 |
| CNN approaches for dorsal hand vein based identification S Lefkovits, L Lefkovits, L Szilágyi 27. International Conference in Central Europe on Computer Graphics …, 2019 | 13 | 2019 |
| Random forest feature selection approach for image segmentation L Lefkovits, S Lefkovits, S Emerich, MF Vaida Proceedings of SPIE 10341, 1034117-1034117-5, 2017 | 11 | 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 | 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 |
| Novel Gabor filter-based patch descriptor S Lefkovits 2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and …, 2012 | 9 | 2012 |
| Distance Based k-NN Classification of Gabor Jet Local Descriptors S Lefkovits, L Lefkovits International Conference on Interdisciplinarity in Engineering, 2014 | 8 | 2014 |
| Two-phase MRI brain tumor segmentation using Random Forests and Level Set Methods L Lefkovits, S Lefkovits International Conferences in Central Europe on Computer Graphics …, 2018 | 7 | 2018 |
| Self-Tuning Possibilistic c-Means Clustering Models L Szilágyi, S Lefkovits, SM Szilágyi International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2019 | 6 | 2019 |
| Assessments of building classifiers for face detection S Lefkovits Proceedings of International Conference on Recent Achievements in …, 2009 | 6 | 2009 |
| Boosting Unsupervised Dorsal Hand Vein Segmentation with U-Net Variants S Lefkovits, S Emerich, L Lefkovits Mathematics 10 (15), 2620, 2022 | 5 | 2022 |
| Improvements on Gabor descriptor retrieval for patch detection S Lefkovits Computing and Informatics 34 (6), 1374-1396, 2015 | 5 | 2015 |
Laszlo LefkovitsSapientia Hungarian University of TransylvaniaVerified email at ms.sapientia.ro
