Sensibility analysis of the Arruda localization method. - Sándor M. Szilágyi; László Szilágyi; Zoltán Benyó (EMBC, 2006)

Quick ECG Analysis for On-Line Holter Monitoring Systems. - László Szilágyi; Sándor M. Szilágyi; Gergely Fördös; Zoltán Benyó (EMBC, 2006)

Adaptive ECG Compression Using Support Vector Machine. - Sándor M. Szilágyi; László Szilágyi; Zoltán Benyó (CIARP, 2007)

Echocardiographic Image Sequence Compression Based on Spatial Active Appearance Model. - Sándor M. Szilágyi; László Szilágyi; Zoltán Benyó (CIARP, 2007)

Unified Neural Network Based Pathologic Event Reconstruction Using Spatial Heart Model. - Sándor M. Szilágyi; László Szilágyi; Attila Frigy; Levente K. Görög; Zoltán Benyó (CIARP, 2007)

Volumetric Analysis of the Heart Using Echocardiography. - Sándor M. Szilágyi; László Szilágyi; Zoltán Benyó (FIMH, 2007)

A Modified Fuzzy C-Means Algorithm for MR Brain Image Segmentation. - László Szilágyi; Sándor M. Szilágyi; Zoltán Benyó (ICIAR, 2007)

Spatial Visualization of the Heart in Case of Ectopic Beats and Fibrillation. - Sándor M. Szilágyi; László Szilágyi; Zoltán Benyó (PSIVT, 2007)

Efficient Feature Extraction for Fast Segmentation of MR Brain Images. - László Szilágyi; Sándor M. Szilágyi; Zoltán Benyó (SCIA, 2007)

A Modified FCM Algorithm for Fast Segmentation of Brain MR Images. - László Szilágyi; Sándor M. Szilágyi; Zoltán Benyó (Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007)

Spatial Heart Simulation and Analysis Using Unified Neural Network. - Sándor M. Szilágyi; László Szilágyi; Zoltán Benyó (Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007)

Support Vector Machine-Based ECG Compression. - Sándor M. Szilágyi; László Szilágyi; Zoltán Benyó (Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007)

GeCiM: A Novel Generalized Approach to C-Means Clustering. - László Szilágyi; David Iclanzan; Sándor M. Szilágyi; Dan Dumitrescu (CIARP, 2008)

A Thorough Analysis of the Suppressed Fuzzy C-Means Algorithm. - László Szilágyi; Sándor M. Szilágyi; Zoltán Benyó (CIARP, 2008)

An Enhanced Accessory Pathway Localization Method for Efficient Treatment of Wolff-Parkinson-White Syndrome. - Sándor M. Szilágyi; László Szilágyi; Levente K. Görög; Constantin T. Luca; Dragos Cozma; Gabriel Ivanica; Zoltán Benyó (CIARP, 2008)

Multi-stage FCM-Based Intensity Inhomogeneity Correction for MR Brain Image Segmentation. - László Szilágyi; Sándor M. Szilágyi; László Dávid; Zoltán Benyó (ICANN (2), 2008)

Analytical and Numerical Evaluation of the Suppressed Fuzzy C-Means Algorithm. - László Szilágyi; Sándor M. Szilágyi; Zoltán Benyó (MDAI, 2008)

A Modified Markov Clustering Approach for Protein Sequence Clustering. - Lehel Medvés; László Szilágyi; Sándor M. Szilágyi (PRIB, 2008)

A generalized c-means clustering model using optimized via evolutionary computation. - László Szilágyi; David Iclanzan; Sándor M. Szilágyi; Dan Dumitrescu; Béat Hirsbrunner (FUZZ-IEEE, 2009)

A unified approach to c-means clustering models. - László Szilágyi; Sándor M. Szilágyi; Zoltán Benyó (FUZZ-IEEE, 2009)

Application of hybrid c-means clustering models in inhomogeneity compensation and MR brain image segmentation. - László Szilágyi; Sándor M. Szilágyi; Balázs Benyó; Zoltán Benyó (SACI, 2009)

A weighted patient specific electromechanical model of the heart. - Sándor M. Szilágyi; László Szilágyi; David Iclanzan; Zoltán Benyó (SACI, 2009)

A Generalized Approach to the Suppressed Fuzzy c-Means Algorithm. - László Szilágyi; Sándor M. Szilágyi; Csilla Kiss (MDAI, 2010)

A modified Markov clustering approach to unsupervised classification of protein sequences. - László Szilágyi; Lehel Medvés; Sándor M. Szilágyi (Neurocomputing, 2010)

Analytical and numerical evaluation of the suppressed fuzzy c-means algorithm: a study on the competition in c-means clustering models. - László Szilágyi; Sándor M. Szilágyi; Zoltán Benyó (Soft Comput., 2010)

An Efficient Approach to Intensity Inhomogeneity Compensation Using c-Means Clustering Models. - László Szilágyi; David Iclanzan; Lehel Craciun; Sándor M. Szilágyi (CIARP, 2011)

Efficient 3D Curve Skeleton Extraction from Large Objects. - László Szilágyi; Sándor M. Szilágyi; David Iclanzan; Lehel Szabó (CIARP, 2011)

Intensity inhomogeneity compensation and segmentation of MR brain images using hybrid c-means clustering models. - László Szilágyi; Sándor M. Szilágyi; Balázs Benyó; Zoltán Benyó (Biomed. Signal Process. Control., 2011)

A patient specific electro-mechanical model of the heart. - Sándor M. Szilágyi; László Szilágyi; Zoltán Benyó (Comput. Methods Programs Biomed., 2011)

Vascular system reconstruction from MR images using active appearance model. - Sándor M. Szilágyi; Calin Enachescu (SACI, 2012)

Efficient inhomogeneity compensation using fuzzy c-means clustering models. - László Szilágyi; Sándor M. Szilágyi; Balázs Benyó (Comput. Methods Programs Biomed., 2012)

Study of Electric and Mechanic Properties of the Implanted Artificial Cardiac Tissue Using a Whole Heart Model. - Sándor Miklós Szilágyi; László Szilágyi; Béat Hirsbrunner (CIARP (2), 2013)

Modeling the Influence of High Fibroblast Level on Arrhythmia Development and Obstructed Depolarization Spread. - Sándor M. Szilágyi; László Szilágyi; Béat Hirsbrunner (CinC, 2013)

Simulation of Arrhythmia using Adaptive Spatio-temporal Resolution. - Sándor M. Szilágyi; László Szilágyi; Béat Hirsbrunner (CinC, 2013)

Efficient Markov clustering algorithm for protein sequence grouping. - László Szilágyi; Sándor M. Szilágyi (EMBC, 2013)

Fast Implementations of Markov Clustering for Protein Sequence Grouping. - László Szilágyi; Sándor Miklós Szilágyi (MDAI, 2013)

Fast color reduction using approximative c-means clustering models. - László Szilágyi; Gellert Denesi; Sándor Miklós Szilágyi (FUZZ-IEEE, 2014)

Synthetic Test Data Generation for Hierarchical Graph Clustering Methods. - László Szilágyi; Levente Kovács; Sándor Miklós Szilágyi (ICONIP (2), 2014)

A Fast and Memory-Efficient Hierarchical Graph Clustering Algorithm. - László Szilágyi; Sándor Miklós Szilágyi; Béat Hirsbrunner (ICONIP (1), 2014)

Application of the Fuzzy-Possibilistic Product Partition in Elliptic Shell Clustering. - László Szilágyi; Zsuzsa Réka Varga; Sándor Miklós Szilágyi (MDAI, 2014)

Comparison of various improved-partition fuzzy c-means clustering algorithms in fast color reduction. - László Szilágyi; Gellert Denesi; Levente Kovács; Sándor M. Szilágyi (SISY, 2014)

A fast hierarchical clustering algorithm for large-scale protein sequence data sets. - Sándor M. Szilágyi; László Szilágyi (Comput. Biol. Medicine, 2014)

Generalization rules for the suppressed fuzzy c-means clustering algorithm. - László Szilágyi; Sándor M. Szilágyi (Neurocomputing, 2014)

Recent Advances in Improving the Memory Efficiency of the TRIBE MCL Algorithm. - László Szilágyi; Lajos Loránd Nagy; Sándor Miklós Szilágyi (ICONIP (2), 2015)

A Study on Cluster Size Sensitivity of Fuzzy c-Means Algorithm Variants. - László Szilágyi; Sándor M. Szilágyi; Calin Enachescu (ICONIP (2), 2016)

A modified two-stage Markov clustering algorithm for large and sparse networks. - László Szilágyi; Sándor M. Szilágyi (Comput. Methods Programs Biomed., 2016)

A Possibilistic c-means Clustering Model with Cluster Size Estimation. - László Szilágyi; Sándor M. Szilágyi (CIARP, 2017)

OutIntSys - A Novel Method for the Detection of the Most Intelligent Cooperative Multiagent Systems. - Sabri Arik; László Barna Iantovics; Sándor Miklos Szilágyi (ICONIP (4), 2017)

Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach. - Zoltán Kapás; László Lefkovits; David Iclanzan; Ágnes Gyorfi; Barna László Iantovics; Szidónia Lefkovits; Sándor Miklós Szilágyi; László Szilágyi (PSIVT, 2017)

Evolving Computationally Efficient Hashing for Similarity Search. - David Iclanzan; Sándor Miklós Szilágyi; László Szilágyi (ICONIP (2), 2018)

Self-Tuning Possibilistic c-Means Clustering Models. - László Szilágyi; Szidónia Lefkovits; Sándor M. Szilágyi (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019)

Predictive Sports Strategy Approach Using YOLO and YOLO-NAS in Performance Sports. - Attila Biró; Antonio Ignacio Cuesta-Vargas; Sándor Miklós Szilágyi (SISY, 2023)

Real-Time Disease and COVID-19 Detection Pipeline from Voice for Performance Sports. - Attila Biró; Antonio Ignacio Cuesta-Vargas; Sándor Miklós Szilágyi (SMC, 2023)

Machine Learning on Prediction of Relative Physical Activity Intensity Using Medical Radar Sensor and 3D Accelerometer. - Attila Biró; Sándor Miklós Szilágyi; László Szilágyi; Jaime Martín-Martín; Antonio I. Cuesta-Vargas (Sensors, 2023)

Orbital Regularity of Exoplanets and the Symmetries of the Kepler Problem. - József Cseh; Phong Dang; Sándor M. Szilágyi; Géza Lévai (Symmetry, 2023)