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Laszlo Lefkovits
Laszlo Lefkovits
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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
18322018
Brain tumor segmentation with optimized random forest
L Lefkovits, S Lefkovits, L Szilágyi
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
752016
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
592015
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
242018
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
242016
Gabor feature selection based on information gain
S Lefkovits, L Lefkovits
Procedia Engineering 181, 892-898, 2017
232017
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
222018
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
162022
Applications of different CNN architectures for palm vein identification
S Lefkovits, L Lefkovits, L Szilágyi
Modeling Decisions for Artificial Intelligence: 16th International …, 2019
162019
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
CNN approaches for dorsal hand vein based identification
S Lefkovits, L Lefkovits, L Szilágyi
Václav Skala-UNION Agency, 2019
122019
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
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
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
A review on suppressed fuzzy c-means clustering models
L Szilágyi, L Lefkovits, D Iclanzan
Acta Universitatis Sapientiae Informatica 12 (2), 302-324, 2020
92020
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
92018
Patch based descriptors for iris recognition
S Emerich, R Măluţan, E Lupu, L Lefkovits
2016 IEEE 12th International Conference on Intelligent Computer …, 2016
92016
Distance based k-nn classification of gabor jet local descriptors
S Lefkovits, L Lefkovits
Procedia Technology 19, 780-785, 2015
82015
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
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