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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
10072018
Brain tumor segmentation with optimized random forest
L Lefkovits, S Lefkovits, L Szilágyi
International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke …, 2016
572016
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
372015
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
192018
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
162018
Gabor feature selection based on information gain
S Lefkovits, L Lefkovits
Procedia Engineering 181, 892-898, 2017
152017
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
132016
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
122016
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
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
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
92017
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
92017
Patch based descriptors for iris recognition
S Emerich, R Măluţan, E Lupu, L Lefkovits
2016 IEEE 12th International Conference on Intelligent Computer …, 2016
92016
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
72017
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
72015
Distance based k-nn classification of gabor jet local descriptors
S Lefkovits, L Lefkovits
Procedia Technology 19, 780-785, 2015
72015
Applications of different CNN architectures for palm vein identification
S Lefkovits, L Lefkovits, L Szilágyi
International Conference on Modeling Decisions for Artificial Intelligence …, 2019
62019
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
62016
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
52017
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Articles 1–20