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Szidónia Lefkovits
Szidónia Lefkovits
Associate Professor in Computer Science, University of Medicine, Pharmacy, Science, and Technology
Verified email at umfst.ro
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Cited by
Cited by
Year
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
17742018
Brain Tumor Segmentation with Optimized Random Forest
Lefkovits, László, S Lefkovits, L Szilágyi
LNCS 10154, 88-99, 2017
712017
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
232018
Gabor feature selection based on information gain
S Lefkovits, L Lefkovits
Procedia Engineering 181, 892-898, 2017
232017
Applications of Different CNN Architectures for Palm Vein Identification
S Lefkovits, L Lefkovits, L Szilagyi
International Conference on Modeling Decisions for Artificial Intelligence …, 2019
162019
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
152022
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
152016
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
142017
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
112017
CNN approaches for dorsal hand vein based identification
S Lefkovits, L Lefkovits, L Szilágyi
27. International Conference in Central Europe on Computer Graphics …, 2019
102019
Random forest feature selection approach for image segmentation
L Lefkovits, S Lefkovits, S Emerich, MF Vaida
Proceedings of SPIE 10341, 1034117-1034117-5, 2017
102017
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
102017
Novel Gabor filter-based patch descriptor
S Lefkovits
2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and …, 2012
92012
Distance Based k-NN Classification of Gabor Jet Local Descriptors
S Lefkovits, L Lefkovits
International Conference on Interdisciplinarity in Engineering, 2014
82014
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
72022
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
72018
Improvements on Gabor descriptor retrieval for patch detection
S Lefkovits
Computing and Informatics 34 (6), 1374-1396, 2015
52015
Assessments of building classifiers for face detection
S Lefkovits
Proceedings of International Conference on Recent Achievements in …, 2009
52009
Self-Tuning Possibilistic c-Means Clustering Models
L Szilágyi, S Lefkovits, SM Szilágyi
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2019
42019
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
42018
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