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)

Identification of the Root Canal from Dental Micro-CT Records. - László Szilágyi; Csaba Dobó-Nagy; Balázs Benyó (CIARP, 2011)

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)

Fuzzy-Possibilistic Product Partition: A Novel Robust Approach to c-Means Clustering. - László Szilágyi (MDAI, 2011)

Digital Imaging for the Education of Proper Surgical Hand Disinfection. - Tamás Haidegger; Melinda Nagy; Ákos Lehotsky; László Szilágyi (MICCAI (3), 2011)

An image-guided tool to prevent hospital acquired infections. - Melinda Nagy; László Szilágyi; Ákos Lehotsky; Tamás Haidegger; Balázs Benyó (Image Processing, 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)

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)

Robust Spherical Shell Clustering Using Fuzzy-Possibilistic Product Partition. - László Szilágyi (Int. J. Intell. Syst., 2013)

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

Sensor Drift Compensation Using Fuzzy Interference System and Sparse-Grid Quadrature Filter in Blood Glucose Control. - Péter Szalay; László Szilágyi; Zoltán Benyó; Levente Kovács (ICONIP (2), 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)

An inductor-less ultra-compact transimpedance amplifier for 30 Gbps in 28 nm CMOS with high energy-efficiency. - László Szilágyi; Ronny Henker; Frank Ellinger (MWSCAS, 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)

Lessons to learn from a mistaken optimization. - László Szilágyi (Pattern Recognit. Lett., 2014)

Automatic Brain Tumor Segmentation in multispectral MRI volumes using a fuzzy c-means cascade algorithm. - László Szilágyi; László Lefkovits; Balázs Benyó (FSKD, 2015)

Societal Intelligence - A New Perspective for Highly Intelligent Systems. - László Barna Iantovics; László Szilágyi; Camelia-Mihaela Pintea (ICONIP (4), 2015)

Neural Population Coding of Stimulus Features. - David Iclanzan; László Szilágyi (ICONIP (4), 2015)

Automatic Brain Tumor Segmentation in Multispectral MRI Volumetric Records. - László Szilágyi; László Lefkovits; Barna Iantovics; David Iclanzan; Balázs Benyó (ICONIP (4), 2015)

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

A high-voltage DC bias architecture implementation in a 17 Gbps low-power common-cathode VCSEL driver in 80 nm CMOS. - László Szilágyi; Guido Belfiore; Ronny Henker; Frank Ellinger (ISCAS, 2015)

Random Process Simulation Using Petri Nets. - László Szilágyi (MACRo, 2015)

A Unified Theory of Fuzzy c-Means Clustering Models with Improved Partition. - László Szilágyi (MDAI, 2015)

A 0.68 pJ/bit inductor-less optical receiver for 20 Gbps with 0.0025 mm2 area in 28 nm CMOS. - László Szilágyi; Ronny Henker; Frank Ellinger (SoCC, 2015)

Design of a 56 Gbit/s 4-level pulse-amplitude-modulation inductor-less vertical-cavity surface-emitting laser driver integrated circuit in 130 nm BiCMOS technology. - Guido Belfiore; László Szilágyi; Ronny Henker; Udo Jörges; Frank Ellinger (IET Circuits Devices Syst., 2015)

Fast Color Quantization via Fuzzy Clustering. - László Szilágyi; Gellért Dénesi; Calin Enachescu (ICONIP (4), 2016)

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

Automatic Detection and Segmentation of Brain Tumor Using Random Forest Approach. - Zoltán Kapás; László Lefkovits; László Szilágyi (MDAI, 2016)

Brain Tumor Segmentation with Optimized Random Forest. - László Lefkovits; Szidónia Lefkovits; László Szilágyi (BrainLes@MICCAI, 2016)

Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification? - Annamária Magdás; László Szilágyi; Alexander Incze (Comput. Math. Methods Medicine, 2016)

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

Robust Clustering Algorithms Employing Fuzzy-Possibilistic Product Partition. - László Szilágyi (Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017)

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

A Highly Adaptive and Energy-Efficient Optical Interconnect for On-Board Server Communications. - Waltenegus Dargie; David Schoeniger; László Szilágyi; Xin An; Ronny Henker; Frank Ellinger (ICCCN, 2017)

25 Gbit/s adaptive 3-tap FFE VCSEL driver in 28-nm CMOS for data center communications. - Guido Belfiore; László Szilágyi; Ronny Henker; Frank Ellinger (ICTON, 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)

Biometric System Based on Registration of Dorsal Hand Vein Configurations. - Szidónia Lefkovits; Simina Emerich; László Szilágyi (PSIVT Workshops, 2017)

Opto-electrical analog front-end with rapid power-on and 0.82 pJ/bit for 28 Gb/s in 14 nm FinFET CMOS. - Jan Plíva; Mahdi M. Khafaji; László Szilágyi; Ronny Henker; Frank Ellinger (SoCC, 2017)

Increase of Short-Term Heart Rate Variability Induced by Blood Pressure Measurements during Ambulatory Blood Pressure Monitoring. - Attila Frigy; Annamária Magdás; Victor-Dan Moga; Ioana Georgiana Cotet; Miklós Kozlovszky; László Szilágyi (Comput. Math. Methods Medicine, 2017)

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

A Self-tuning Possibilistic c-Means Clustering Algorithm. - László Szilágyi; Szidónia Lefkovits; Zsolt Levente Kucsván (MDAI, 2018)

Brain Tumor Segmentation and Survival Prediction Using a Cascade of Random Forests. - Szidónia Lefkovits; László Szilágyi; László Lefkovits (BrainLes@MICCAI (2), 2018)

A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data. - Ágnes Gyorfi; Zoltán Karetka-Mezei; David Iclanzan; Levente Kovács; László Szilágyi (CIARP, 2019)

Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods. - Ágnes Gyorfi; Levente Kovács; László Szilágyi (CIARP, 2019)

A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data. - Ágnes Gyorfi; Levente Kovács; László Szilágyi (EMBC, 2019)

Learning to Generate Ambiguous Sequences. - David Iclanzan; László Szilágyi (ICONIP (1), 2019)

Applications of Different CNN Architectures for Palm Vein Identification. - Szidónia Lefkovits; László Lefkovits; László Szilágyi (MDAI, 2019)

Brain Tumor Detection and Segmentation from Magnetic Resonance Image Data Using Ensemble Learning Methods. - Ágnes Gyorfi; Levente Kovács; László Szilágyi (SMC, 2019)

Offset-Compensation Systems for Multi-Gbit/s Optical Receivers. - László Szilágyi; Jan Plíva; Ronny Henker (VLSI-SoC (Selected Papers), 2019)

A Mixed-Signal Offset-Compensation System for Multi-Gbit/s Optical Receiver Frontends. - László Szilágyi; Jan Plíva; Ronny Henker; Frank Ellinger (VLSI-SoC, 2019)

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

A 53-Gbit/s Optical Receiver Frontend With 0.65 pJ/bit in 28-nm Bulk-CMOS. - László Szilágyi; Jan Plíva; Ronny Henker; David Schoeniger; Jaroslaw P. Turkiewicz; Frank Ellinger (IEEE J. Solid State Circuits, 2019)

Brain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier. - Szabolcs Csaholczi; David Iclanzan; Levente Kovács; László Szilágyi (ICONIP (1), 2020)

Real Valued Card Counting Strategies for the Game of Blackjack. - Mózes Vidámi; László Szilágyi; David Iclanzan (ICONIP (2), 2020)

Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach. - Ágnes Gyorfi; Szabolcs Csaholczi; Tímea Fülöp; Levente Kovács; László Szilágyi (SMC, 2020)

Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning*. - Tímea Fülöp; Ágnes Gyorfi; Szabolcs Csaholczi; Levente Kovács; László Szilágyi (SoSE, 2020)

The role of atlases and multi-atlases in brain tissue segmentation based on multispectral magnetic resonance image data. - David Iclanzan; Rodica Ioana Lung; Zsolt Levente Kucsván; Béla Surányi; Levente Kovács; László Szilágyi (AFRICON, 2021)

Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data. - Andrea Koble; Ágnes Gyorfi; Szabolcs Csaholczi; Béla Surányi; Lehel Dénes-Fazakas; Levente Kovács; László Szilágyi (AFRICON, 2021)

A Complementary Ring Mixer Driven by a Single-Ended LO in 22-nm FD-SOI CMOS for K and Ka-Bands. - Paolo Valerio Testa; László Szilágyi; Corrado Carta; Frank Ellinger (IEEE Open J. Circuits Syst., 2021)

Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller. - Lehel Dénes-Fazakas; Máté Siket; Gábor Kertész; László Szilágyi; Levente Kovács; György Eigner (SMC, 2022)

Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals. - Lehel Dénes-Fazakas; Máté Siket; László Szilágyi; Levente Kovács; György Eigner (Sensors, 2022)

A Self-Tuning Version for the Possibilistic Fuzzy $c- text{means}$ Clustering Algorithm. - Mirtill-Boglárka Naghi; Levente Kovács; László Szilágyi (FUZZ, 2023)

Investigation of reward functions for controlling blood glucose level using reinforcement learning. - Lehel Dénes-Fazakas; Máté Siket; László Szilágyi; György Eigner; Levente Kovács (SACI, 2023)

Applied AI for Real-Time Detection of Lesions and Tumors Following Severe Head Injuries. - Attila Biró; Antonio Ignacio Cuesta-Vargas; László Szilágyi (SISY, 2023)

Fuzzy-Possibilistic Product Partition: the First Twelve Years. - László Szilágyi (SISY, 2023)

sRPE and ACWR to Control Fatigue Levels and Minimize Injuries in Performance Sports. - Attila Biró; Antonio Ignacio Cuesta-Vargas; László Szilágyi (SMC, 2023)

Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-Net Cascade Architecture. - Lehel Dénes-Fazakas; Levente Kovács; György Eigner; László Szilágyi (SMC, 2023)

Effect of Hyperparameters of Reinforcement Learning in Blood Glucose Control. - Lehel Dénes-Fazakas; Máté Siket; László Szilágyi; György Eigner; Levente Kovács (SMC, 2023)

Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture. - Ágnes Gyorfi; Levente Kovács; László Szilágyi (SMC, 2023)

Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation. - Lehel Dénes-Fazakas; László Szilágyi; György Eigner; Olga Kosheleva; Martine Ceberio; Vladik Kreinovich (SSCI, 2023)

Establishing a Learning Model for Correct Hand Hygiene Technique in a NICU. - Irén A. Kopcsóné Németh; Csaba Nádor; László Szilágyi; Ákos Lehotsky; Tamás Haidegger (CoRR, 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)

To QoE or not to QoE. - Szilveszter Nádas; Lars Ernström; László Szilágyi; Gyanesh Patra; Dmitri Krylov; Jonathan Lynam (ANRW, 2024)

Segmentation of Brain Tumor Parts from Multi-spectral MRI Records Using Deep Learning and U-Net Architecture. - Szabolcs Csaholczi; Ágnes Györfi; Levente Kovács; László Szilágyi (CIARP (2), 2024)

Review of Reinforcement Learning-Based Control Algorithms in Artificial Pancreas Systems for Diabetes Mellitus Management. - Lehel Dénes-Fazakas; Gyozo Dénes Fazakas; György Eigner; Levente Kovács; László Szilágyi (SACI, 2024)

Web Application Development for Diabetes Patients. - Miklós Nagy; Barbara Simon; László Szász; Máté Siket; Lehel Dénes-Fazakas; György Eigner; Patrik Péter Süli; Levente Kovács; László Szilágyi (SACI, 2024)

Mobile Application Development for Diabetes Patient. - Csaba Potyok; Barbara Simon; Ádám Hartvég; Máté Siket; Lehel Dénes-Fazakas; György Eigner; Milán Balázs; Levente Kovács; László Szilágyi (SACI, 2024)

Enhancing Diabetes Management Through GRU Analysis of Physical Activity Effects. - Barbara Simon; Ádám Hartvég; Máté Siket; Lehel Dénes-Fazakas; Levente Kovács; László Szilágyi; Gábor Kertész; György Eigner (SISY, 2024)

Enhanced Spatial-Temporal Analysis for EEG-Based Microsleep Detection: Integrating Kalman Filtering with Voronoi Tessellation and Adaptive Coverage Control. - Attila Biró; Antonio Ignacio Cuesta-Vargas; László Szilágyi (SMC, 2024)

A Self-Tuning Version for the Fuzzy-Possibilistic Product Partition c-Means Algorithm. - Mirtill-Boglárka Naghi; Vladik Kreinovich; Levente Kovács; László Szilágyi (SMC, 2024)

Personalized food consumption detection with deep learning and Inertial Measurement Unit sensor. - Lehel Dénes-Fazakas; Barbara Simon; Ádám Hartvég; László Szilágyi; Levente Kovács; Amir Mosavi; György Eigner (Comput. Biol. Medicine, 2024)

AI-Assisted Fatigue and Stamina Control for Performance Sports on IMU-Generated Multivariate Times Series Datasets. - Attila Biró; Antonio Ignacio Cuesta-Vargas; László Szilágyi (Sensors, 2024)

Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks. - Lehel Dénes-Fazakas; Barbara Simon; Ádám Hartvég; Levente Kovács; Eva-Henrietta Dulf; László Szilágyi; György Eigner (Sensors, 2024)

Advancing Medical Assistance: Developing an Effective Hungarian-Language Medical Chatbot with Artificial Intelligence. - Barbara Simon; Ádám Hartvég; Lehel Dénes-Fazakas; György Eigner; László Szilágyi (Inf., 2024)

Exploring Vision Transformer Architectures for Brain Tumor Classification: A Comprehensive Study. - Lehel Dénes-Fazakas; Barbara Simon; Ádám Hartvég; Szabolcs Csaholczi; György Eigner; Levente Kovács; László Szilágyi (SACI, 2025)

SLAG: Scalable Language-Augmented Gaussian Splatting. - László Szilágyi; Francis Engelmann; Jeannette Bohg (IEEE Robotics Autom. Lett., 2025)