László Szilágyi
TitleCited byYear
MR brain image segmentation using an enhanced fuzzy c-means algorithm
L Szilagyi, Z Benyo, SM Szilágyi, HS Adam
Proceedings of the 25th Annual International Conference of the IEEE …, 2003
4012003
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
822018
Wavelet transform and neural-network-based adaptive filtering for QRS detection
SM Szilagyi, L Szilagyi
Proceedings of the 22nd annual international conference of the IEEE …, 2000
472000
A large-scale assessment of hand hygiene quality and the effectiveness of the “WHO 6-steps”
L Szilágyi, T Haidegger, Á Lehotsky, M Nagy, EA Csonka, X Sun, KL Ooi, ...
BMC infectious diseases 13 (1), 249, 2013
442013
A modified fuzzy c-means algorithm for MR brain image segmentation
L Szilágyi, SM Szilágyi, Z Benyó
International Conference Image Analysis and Recognition, 866-877, 2007
392007
Comparison between neural-network-based adaptive filtering and wavelet transform for ECG characteristic points detection
F Ng, F Mora, S Wong, G Passariello, D Almeida
Proceedings of the 19th Annual International Conference of the IEEE …, 1997
381997
Brain tumor segmentation with optimized random forest
L Lefkovits, S Lefkovits, L Szilágyi
International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke …, 2016
252016
Efficient inhomogeneity compensation using fuzzy c-means clustering models
L Szilágyi, SM Szilágyi, B Benyó
Computer methods and programs in biomedicine 108 (1), 80-89, 2012
252012
Intensity inhomogeneity compensation and segmentation of MR brain images using hybrid c-means clustering models
L Szilágyi, SM Szilágyi, B Benyó, Z Benyó
Biomedical signal processing and control 6 (1), 3-12, 2011
252011
Adaptive wavelet-transform-based ECG waveforms detection
SM Szilagyi, Z Benyo, L Szilagyi, L David
Proceedings of the 25th Annual International Conference of the IEEE …, 2003
252003
A modified FCM algorithm for fast segmentation of brain MR images
L Szilágyi, SM Szilágyi, Z Benyó
Analysis and Design of Intelligent Systems using Soft Computing Techniques …, 2007
242007
Generalization rules for the suppressed fuzzy c-means clustering algorithm
L Szilágyi, SM Szilágyi
Neurocomputing 139, 298-309, 2014
232014
A new method for epileptic waveform recognition using wavelet decomposition and artificial neural networks
L Szilagnyi, Z Benyó, SM Szilágyi
Proceedings of the Second Joint 24th Annual Conference and the Annual Fall …, 2002
222002
Analytical and numerical evaluation of the suppressed fuzzy c-means algorithm: a study on the competition in c-means clustering models
L Szilágyi, SM Szilágyi, Z Benyó
Soft Computing 14 (5), 495-505, 2010
202010
On-line QRS complex detection using wavelet filtering
L Szilagyi, Z Benyo, SM Szilágyi, A Szlavecz, L Nagy
2001 Conference Proceedings of the 23rd Annual International Conference of …, 2001
192001
Quantitative impact of direct, personal feedback on hand hygiene technique
Á Lehotsky, L Szilágyi, T Ferenci, L Kovács, R Pethes, G Wéber, ...
Journal of Hospital Infection 91 (1), 81-84, 2015
162015
Lessons to learn from a mistaken optimization
L Szilágyi
Pattern Recognition Letters 36, 29-35, 2014
152014
Application of hybrid c-means clustering models in inhomogeneity compensation and MR brain image segmentation
L Szilágyi, SM Szilágyi, B Benyó, Z Benyó
2009 5th International Symposium on Applied Computational Intelligence and …, 2009
152009
Automatic brain tumor segmentation in multispectral MRI volumes using a fuzzy c-means cascade algorithm
L Szilágyi, L Lefkovits, B Benyo
2015 12th international conference on fuzzy systems and knowledge discovery …, 2015
142015
A fast hierarchical clustering algorithm for large-scale protein sequence data sets
SM Szilágyi, L Szilágyi
Computers in biology and medicine 48, 94-101, 2014
142014
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Articles 1–20