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Szilagyi Sandor Miklos
Szilagyi Sandor Miklos
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Cited by
Year
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
5732003
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
532000
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
512007
Inference of evolutionary jumps in large phylogenies using Lévy processes
P Duchen, C Leuenberger, SM Szilágyi, L Harmon, J Eastman, ...
Systematic biology 66 (6), 950-963, 2017
462017
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
441997
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
412011
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
382012
Generalization rules for the suppressed fuzzy c-means clustering algorithm
L Szilágyi, SM Szilágyi
Neurocomputing 139, 298-309, 2014
292014
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
292003
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
252010
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
252007
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
242001
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
232002
Event recognition, separation and classification from ECG recordings
SM Szilágyi
Proceedings of the 20th Annual International Conference of the IEEE …, 1998
211998
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
192009
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
182014
A patient specific electro-mechanical model of the heart
SM Szilágyi, L Szilágyi, Z Benyó
Computer methods and programs in biomedicine 101 (2), 183-200, 2011
182011
The limits of heart-model-based computerized ECG diagnosis
SM Szilágyi
Proceedings of the 22nd Annual International Conference of the IEEE …, 2000
172000
Review of recent trends in measuring the computing systems intelligence
LB Iantovics, A Gligor, MA Niazi, AI Biro, SM Szilagyi, D Tokody
BRAIN. Broad Research in Artificial Intelligence and Neuroscience 9 (2), 77-94, 2018
152018
A modified Markov clustering approach to unsupervised classification of protein sequences
L Szilágyi, L Medvés, SM Szilágyi
Neurocomputing 73 (13-15), 2332-2345, 2010
152010
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