| 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 | 473 | 2003 |
| 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 | 50 | 2000 |
| 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 | 47 | 2007 |
| 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 | 42 | 1997 |
| 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 | 35 | 2012 |
| 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 | 34 | 2011 |
| 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 | 33 | 2017 |
| Generalization rules for the suppressed fuzzy c-means clustering algorithm L Szilágyi, SM Szilágyi Neurocomputing 139, 298-309, 2014 | 26 | 2014 |
| 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 | 26 | 2003 |
| 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 | 24 | 2007 |
| 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 | 23 | 2010 |
| 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 | 23 | 2002 |
| 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 | 23 | 2001 |
| Event recognition, separation and classification from ECG recordings SM Szilágyi Proceedings of the 20th Annual International Conference of the IEEE …, 1998 | 19 | 1998 |
| 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 | 16 | 2014 |
| 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 | 16 | 2009 |
| The limits of heart-model-based computerized ECG diagnosis SM Szilágyi Proceedings of the 22nd Annual International Conference of the IEEE …, 2000 | 15 | 2000 |
| 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 | 14 | 2018 |
| 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 | 14 | 2011 |
| A modified Markov clustering approach to unsupervised classification of protein sequences L Szilágyi, L Medvés, SM Szilágyi Neurocomputing 73 (13-15), 2332-2345, 2010 | 14 | 2010 |
Daniel WegmannProfessor in Computational Biology, University fo Fribourg, SwitzerlandVerified email at unifr.ch
