Szidónia Lefkovits
Szidónia Lefkovits
Associate Professor in Computer Science, University of Medicine, Pharmacy, Science, and Technology
Verified email at
Cited by
Cited by
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
Brain Tumor Segmentation with Optimized Random Forest
Lefkovits, László, S Lefkovits, L Szilágyi
LNCS 10154, 88-99, 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
Gabor feature selection based on information gain
S Lefkovits, L Lefkovits
Procedia Engineering 181, 892-898, 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
Applications of Different CNN Architectures for Palm Vein Identification
S Lefkovits, L Lefkovits, L Szilagyi
International Conference on Modeling Decisions for Artificial Intelligence …, 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
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
CNN approaches for dorsal hand vein based identification
S Lefkovits, L Lefkovits, L Szilágyi
27. International Conference in Central Europe on Computer Graphics …, 2019
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
Random forest feature selection approach for image segmentation
L Lefkovits, S Lefkovits, S Emerich, MF Vaida
Proceedings of SPIE 10341, 1034117-1034117-5, 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
Novel Gabor filter-based patch descriptor
S Lefkovits
2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and …, 2012
Distance Based k-NN Classification of Gabor Jet Local Descriptors
S Lefkovits, L Lefkovits
International Conference on Interdisciplinarity in Engineering, 2014
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
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
Improvements on Gabor descriptor retrieval for patch detection
S Lefkovits
Computing and Informatics 34 (6), 1374-1396, 2015
Assessments of building classifiers for face detection
S Lefkovits
Proceedings of International Conference on Recent Achievements in …, 2009
Self-Tuning Possibilistic c-Means Clustering Models
L Szilágyi, S Lefkovits, SM Szilágyi
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2019
Cascade of Random Forest Classifiers for Brain Tumor Segmentation
S Lefkovits, L Szilágyi, L Lefkovits
Conference Proceedings of the 7th MICCAI BraTS Challenge (2018), 280-289, 2018
The system can't perform the operation now. Try again later.
Articles 1–20