László Szilágyi

124 papers B 23C 16Misc 11Journal 25Unranked 44

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Exploring Vision Transformer Architectures for Brain Tumor Classification: A Comprehensive Study. SACI Lehel Dénes-Fazakas, Barbara Simon, Ádám Hartvég, Szabolcs Csaholczi, György Eigner, Levente Kovács, László Szilágyi
2025	J	`jnl`	SLAG: Scalable Language-Augmented Gaussian Splatting. CoRR László Szilágyi, Francis Engelmann, Jeannette Bohg
2025	J	`jnl`	SLAG: Scalable Language-Augmented Gaussian Splatting. IEEE Robotics Autom. Lett. László Szilágyi, Francis Engelmann, Jeannette Bohg
2024	B	`conf`	A Self-Tuning Version for the Fuzzy-Possibilistic Product Partition c-Means Algorithm. SMC Mirtill-Boglárka Naghi, Vladik Kreinovich, Levente Kovács, László Szilágyi
2024	J	`jnl`	AI-Assisted Fatigue and Stamina Control for Performance Sports on IMU-Generated Multivariate Times Series Datasets. Sensors Attila Biró, Antonio Ignacio Cuesta-Vargas, László Szilágyi
2024	J	`jnl`	Advancing Medical Assistance: Developing an Effective Hungarian-Language Medical Chatbot with Artificial Intelligence. Inf. Barbara Simon, Ádám Hartvég, Lehel Dénes-Fazakas, György Eigner, László Szilágyi
2024	B	`conf`	Enhanced Spatial-Temporal Analysis for EEG-Based Microsleep Detection: Integrating Kalman Filtering with Voronoi Tessellation and Adaptive Coverage Control. SMC Attila Biró, Antonio Ignacio Cuesta-Vargas, László Szilágyi
2024	Misc	`conf`	Enhancing Diabetes Management Through GRU Analysis of Physical Activity Effects. SISY Barbara Simon, Ádám Hartvég, Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi, Gábor Kertész, György Eigner
2024	Misc	`conf`	Mobile Application Development for Diabetes Patient. SACI Csaba Potyok, Barbara Simon, Ádám Hartvég, Máté Siket, Lehel Dénes-Fazakas, György Eigner, Milán Balázs, Levente Kovács, László Szilágyi
2024	J	`jnl`	Personalized food consumption detection with deep learning and Inertial Measurement Unit sensor. Comput. Biol. Medicine Lehel Dénes-Fazakas, Barbara Simon, Ádám Hartvég, László Szilágyi, Levente Kovács, Amir Mosavi, György Eigner
2024	J	`jnl`	Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks. Sensors Lehel Dénes-Fazakas, Barbara Simon, Ádám Hartvég, Levente Kovács, Eva-Henrietta Dulf, László Szilágyi, György Eigner
2024	Misc	`conf`	Review of Reinforcement Learning-Based Control Algorithms in Artificial Pancreas Systems for Diabetes Mellitus Management. SACI Lehel Dénes-Fazakas, Gyozo Dénes Fazakas, György Eigner, Levente Kovács, László Szilágyi
2024	—	`conf`	Segmentation of Brain Tumor Parts from Multi-spectral MRI Records Using Deep Learning and U-Net Architecture. CIARP (2) Szabolcs Csaholczi, Ágnes Györfi, Levente Kovács, László Szilágyi
2024	—	`conf`	To QoE or not to QoE. ANRW Szilveszter Nádas, Lars Ernström, László Szilágyi, Gyanesh Patra, Dmitri Krylov, Jonathan Lynam
2024	Misc	`conf`	Web Application Development for Diabetes Patients. SACI Miklós Nagy, Barbara Simon, László Szász, Máté Siket, Lehel Dénes-Fazakas, György Eigner, Patrik Péter Süli, Levente Kovács, László Szilágyi
2023	—	`conf`	A Self-Tuning Version for the Possibilistic Fuzzy $c-\text{means}$ Clustering Algorithm. FUZZ Mirtill-Boglárka Naghi, Levente Kovács, László Szilágyi
2023	Misc	`conf`	Applied AI for Real-Time Detection of Lesions and Tumors Following Severe Head Injuries. SISY Attila Biró, Antonio Ignacio Cuesta-Vargas, László Szilágyi
2023	B	`conf`	Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-Net Cascade Architecture. SMC Lehel Dénes-Fazakas, Levente Kovács, György Eigner, László Szilágyi
2023	B	`conf`	Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture. SMC Ágnes Gyorfi, Levente Kovács, László Szilágyi
2023	B	`conf`	Effect of Hyperparameters of Reinforcement Learning in Blood Glucose Control. SMC Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács
2023	J	`jnl`	Establishing a Learning Model for Correct Hand Hygiene Technique in a NICU. CoRR Irén A. Kopcsóné Németh, Csaba Nádor, László Szilágyi, Ákos Lehotsky, Tamás Haidegger
2023	Misc	`conf`	Fuzzy-Possibilistic Product Partition: the First Twelve Years. SISY László Szilágyi
2023	Misc	`conf`	Investigation of reward functions for controlling blood glucose level using reinforcement learning. SACI Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács
2023	J	`jnl`	Machine Learning on Prediction of Relative Physical Activity Intensity Using Medical Radar Sensor and 3D Accelerometer. Sensors Attila Biró, Sándor Miklós Szilágyi, László Szilágyi, Jaime Martín-Martín, Antonio I. Cuesta-Vargas
2023	—	`conf`	Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation. SSCI Lehel Dénes-Fazakas, László Szilágyi, György Eigner, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2023	B	`conf`	sRPE and ACWR to Control Fatigue Levels and Minimize Injuries in Performance Sports. SMC Attila Biró, Antonio Ignacio Cuesta-Vargas, László Szilágyi
2022	B	`conf`	Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller. SMC Lehel Dénes-Fazakas, Máté Siket, Gábor Kertész, László Szilágyi, Levente Kovács, György Eigner
2022	J	`jnl`	Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals. Sensors Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, Levente Kovács, György Eigner
2021	J	`jnl`	A Complementary Ring Mixer Driven by a Single-Ended LO in 22-nm FD-SOI CMOS for K and Ka-Bands. IEEE Open J. Circuits Syst. Paolo Valerio Testa, László Szilágyi, Corrado Carta, Frank Ellinger
2021	—	`conf`	Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data. AFRICON Andrea Koble, Ágnes Gyorfi, Szabolcs Csaholczi, Béla Surányi, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi
2021	—	`conf`	The role of atlases and multi-atlases in brain tissue segmentation based on multispectral magnetic resonance image data. AFRICON David Iclanzan, Rodica Ioana Lung, Zsolt Levente Kucsván, Béla Surányi, Levente Kovács, László Szilágyi
2020	—	`conf`	Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning SoSE Tímea Fülöp, Ágnes Gyorfi, Szabolcs Csaholczi, Levente Kovács, László Szilágyi
2020	B	`conf`	Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach. SMC Ágnes Gyorfi, Szabolcs Csaholczi, Tímea Fülöp, Levente Kovács, László Szilágyi
2020	—	`conf`	Brain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier. ICONIP (1) Szabolcs Csaholczi, David Iclanzan, Levente Kovács, László Szilágyi
2020	—	`conf`	Real Valued Card Counting Strategies for the Game of Blackjack. ICONIP (2) Mózes Vidámi, László Szilágyi, David Iclanzan
2019	J	`jnl`	A 53-Gbit/s Optical Receiver Frontend With 0.65 pJ/bit in 28-nm Bulk-CMOS. IEEE J. Solid State Circuits László Szilágyi, Jan Plíva, Ronny Henker, David Schoeniger, Jaroslaw P. Turkiewicz, Frank Ellinger
2019	—	`conf`	A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data. EMBC Ágnes Gyorfi, Levente Kovács, László Szilágyi
2019	C	`conf`	A Mixed-Signal Offset-Compensation System for Multi-Gbit/s Optical Receiver Frontends. VLSI-SoC László Szilágyi, Jan Plíva, Ronny Henker, Frank Ellinger
2019	C	`conf`	A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data. CIARP Ágnes Gyorfi, Zoltán Karetka-Mezei, David Iclanzan, Levente Kovács, László Szilágyi
2019	B	`conf`	Applications of Different CNN Architectures for Palm Vein Identification. MDAI Szidónia Lefkovits, László Lefkovits, László Szilágyi
2019	B	`conf`	Brain Tumor Detection and Segmentation from Magnetic Resonance Image Data Using Ensemble Learning Methods. SMC Ágnes Gyorfi, Levente Kovács, László Szilágyi
2019	C	`conf`	Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods. CIARP Ágnes Gyorfi, Levente Kovács, László Szilágyi
2019	—	`conf`	Learning to Generate Ambiguous Sequences. ICONIP (1) David Iclanzan, László Szilágyi
2019	—	`conf`	Offset-Compensation Systems for Multi-Gbit/s Optical Receivers. VLSI-SoC (Selected Papers) László Szilágyi, Jan Plíva, Ronny Henker
2019	J	`jnl`	Self-Tuning Possibilistic c-Means Clustering Models. Int. J. Uncertain. Fuzziness Knowl. Based Syst. László Szilágyi, Szidónia Lefkovits, Sándor M. Szilágyi
2018	B	`conf`	A Self-tuning Possibilistic c-Means Clustering Algorithm. MDAI László Szilágyi, Szidónia Lefkovits, Zsolt Levente Kucsván
2018	—	`conf`	Brain Tumor Segmentation and Survival Prediction Using a Cascade of Random Forests. BrainLes@MICCAI (2) Szidónia Lefkovits, László Szilágyi, László Lefkovits
2018	—	`conf`	Evolving Computationally Efficient Hashing for Similarity Search. ICONIP (2) David Iclanzan, Sándor Miklós Szilágyi, László Szilágyi
2017	—	`conf`	25 Gbit/s adaptive 3-tap FFE VCSEL driver in 28-nm CMOS for data center communications. ICTON Guido Belfiore, László Szilágyi, Ronny Henker, Frank Ellinger
2017	B	`conf`	A Highly Adaptive and Energy-Efficient Optical Interconnect for On-Board Server Communications. ICCCN Waltenegus Dargie, David Schoeniger, László Szilágyi, Xin An, Ronny Henker, Frank Ellinger
2017	C	`conf`	A Possibilistic c-means Clustering Model with Cluster Size Estimation. CIARP László Szilágyi, Sándor M. Szilágyi
2017	C	`conf`	Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach. PSIVT Zoltán Kapás, László Lefkovits, David Iclanzan, Ágnes Gyorfi, Barna László Iantovics, Szidónia Lefkovits, Sándor Miklós Szilágyi, László Szilágyi
2017	—	`conf`	Biometric System Based on Registration of Dorsal Hand Vein Configurations. PSIVT Workshops Szidónia Lefkovits, Simina Emerich, László Szilágyi
2017	J	`jnl`	Increase of Short-Term Heart Rate Variability Induced by Blood Pressure Measurements during Ambulatory Blood Pressure Monitoring. Comput. Math. Methods Medicine Attila Frigy, Annamária Magdás, Victor-Dan Moga, Ioana Georgiana Cotet, Miklós Kozlovszky, László Szilágyi
2017	—	`ed.`	International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics, Târgu Mureș, Romania, October 27-28, 2017. MACRo József Domokos, Lorinc Márton, László Szilágyi, Zoltán Forgó
2017	—	`conf`	Opto-electrical analog front-end with rapid power-on and 0.82 pJ/bit for 28 Gb/s in 14 nm FinFET CMOS. SoCC Jan Plíva, Mahdi M. Khafaji, László Szilágyi, Ronny Henker, Frank Ellinger
2017	—	`conf`	Robust Clustering Algorithms Employing Fuzzy-Possibilistic Product Partition. Fuzzy Sets, Rough Sets, Multisets and Clustering László Szilágyi
2016	—	`conf`	A Study on Cluster Size Sensitivity of Fuzzy c-Means Algorithm Variants. ICONIP (2) László Szilágyi, Sándor M. Szilágyi, Calin Enachescu
2016	J	`jnl`	A modified two-stage Markov clustering algorithm for large and sparse networks. Comput. Methods Programs Biomed. László Szilágyi, Sándor M. Szilágyi
2016	B	`conf`	Automatic Detection and Segmentation of Brain Tumor Using Random Forest Approach. MDAI Zoltán Kapás, László Lefkovits, László Szilágyi
2016	—	`conf`	Brain Tumor Segmentation with Optimized Random Forest. BrainLes@MICCAI László Lefkovits, Szidónia Lefkovits, László Szilágyi
2016	J	`jnl`	Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification? Comput. Math. Methods Medicine Annamária Magdás, László Szilágyi, Alexander Incze
2016	—	`conf`	Fast Color Quantization via Fuzzy Clustering. ICONIP (4) László Szilágyi, Gellért Dénesi, Calin Enachescu
2015	—	`conf`	A 0.68 pJ/bit inductor-less optical receiver for 20 Gbps with 0.0025 mm2 area in 28 nm CMOS. SoCC László Szilágyi, Ronny Henker, Frank Ellinger
2015	B	`conf`	A Unified Theory of Fuzzy c-Means Clustering Models with Improved Partition. MDAI László Szilágyi
2015	C	`conf`	A high-voltage DC bias architecture implementation in a 17 Gbps low-power common-cathode VCSEL driver in 80 nm CMOS. ISCAS László Szilágyi, Guido Belfiore, Ronny Henker, Frank Ellinger
2015	—	`conf`	Automatic Brain Tumor Segmentation in Multispectral MRI Volumetric Records. ICONIP (4) László Szilágyi, László Lefkovits, Barna Iantovics, David Iclanzan, Balázs Benyó
2015	—	`conf`	Automatic Brain Tumor Segmentation in multispectral MRI volumes using a fuzzy c-means cascade algorithm. FSKD László Szilágyi, László Lefkovits, Balázs Benyó
2015	J	`jnl`	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. IET Circuits Devices Syst. Guido Belfiore, László Szilágyi, Ronny Henker, Udo Jörges, Frank Ellinger
2015	—	`ed.`	International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics, Târgu Mureș, Romania, March 6-7, 2015. MACRo József Domokos, Lorinc Márton, László Szilágyi, Zoltán Forgó
2015	—	`conf`	Neural Population Coding of Stimulus Features. ICONIP (4) David Iclanzan, László Szilágyi
2015	—	`conf`	Random Process Simulation Using Petri Nets. MACRo László Szilágyi
2015	—	`conf`	Recent Advances in Improving the Memory Efficiency of the TRIBE MCL Algorithm. ICONIP (2) László Szilágyi, Lajos Loránd Nagy, Sándor Miklós Szilágyi
2015	—	`conf`	Societal Intelligence - A New Perspective for Highly Intelligent Systems. ICONIP (4) László Barna Iantovics, László Szilágyi, Camelia-Mihaela Pintea
2014	—	`conf`	A Fast and Memory-Efficient Hierarchical Graph Clustering Algorithm. ICONIP (1) László Szilágyi, Sándor Miklós Szilágyi, Béat Hirsbrunner
2014	J	`jnl`	A fast hierarchical clustering algorithm for large-scale protein sequence data sets. Comput. Biol. Medicine Sándor M. Szilágyi, László Szilágyi
2014	—	`conf`	An inductor-less ultra-compact transimpedance amplifier for 30 Gbps in 28 nm CMOS with high energy-efficiency. MWSCAS László Szilágyi, Ronny Henker, Frank Ellinger
2014	B	`conf`	Application of the Fuzzy-Possibilistic Product Partition in Elliptic Shell Clustering. MDAI László Szilágyi, Zsuzsa Réka Varga, Sándor Miklós Szilágyi
2014	Misc	`conf`	Comparison of various improved-partition fuzzy c-means clustering algorithms in fast color reduction. SISY László Szilágyi, Gellert Denesi, Levente Kovács, Sándor M. Szilágyi
2014	B	`conf`	Fast color reduction using approximative c-means clustering models. FUZZ-IEEE László Szilágyi, Gellert Denesi, Sándor Miklós Szilágyi
2014	J	`jnl`	Generalization rules for the suppressed fuzzy c-means clustering algorithm. Neurocomputing László Szilágyi, Sándor M. Szilágyi
2014	J	`jnl`	Lessons to learn from a mistaken optimization. Pattern Recognit. Lett. László Szilágyi
2014	—	`conf`	Sensor Drift Compensation Using Fuzzy Interference System and Sparse-Grid Quadrature Filter in Blood Glucose Control. ICONIP (2) Péter Szalay, László Szilágyi, Zoltán Benyó, Levente Kovács
2014	—	`conf`	Synthetic Test Data Generation for Hierarchical Graph Clustering Methods. ICONIP (2) László Szilágyi, Levente Kovács, Sándor Miklós Szilágyi
2013	—	`conf`	Efficient Markov clustering algorithm for protein sequence grouping. EMBC László Szilágyi, Sándor M. Szilágyi
2013	B	`conf`	Fast Implementations of Markov Clustering for Protein Sequence Grouping. MDAI László Szilágyi, Sándor Miklós Szilágyi
2013	—	`conf`	Modeling the Influence of High Fibroblast Level on Arrhythmia Development and Obstructed Depolarization Spread. CinC Sándor M. Szilágyi, László Szilágyi, Béat Hirsbrunner
2013	J	`jnl`	Robust Spherical Shell Clustering Using Fuzzy-Possibilistic Product Partition. Int. J. Intell. Syst. László Szilágyi
2013	—	`conf`	Simulation of Arrhythmia using Adaptive Spatio-temporal Resolution. CinC Sándor M. Szilágyi, László Szilágyi, Béat Hirsbrunner
2013	—	`conf`	Study of Electric and Mechanic Properties of the Implanted Artificial Cardiac Tissue Using a Whole Heart Model. CIARP (2) Sándor Miklós Szilágyi, László Szilágyi, Béat Hirsbrunner
2012	J	`jnl`	Efficient inhomogeneity compensation using fuzzy c-means clustering models. Comput. Methods Programs Biomed. László Szilágyi, Sándor M. Szilágyi, Balázs Benyó
2011	J	`jnl`	A patient specific electro-mechanical model of the heart. Comput. Methods Programs Biomed. Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó
2011	C	`conf`	An Efficient Approach to Intensity Inhomogeneity Compensation Using c-Means Clustering Models. CIARP László Szilágyi, David Iclanzan, Lehel Craciun, Sándor M. Szilágyi
2011	B	`conf`	An image-guided tool to prevent hospital acquired infections. Image Processing Melinda Nagy, László Szilágyi, Ákos Lehotsky, Tamás Haidegger, Balázs Benyó
2011	—	`conf`	Digital Imaging for the Education of Proper Surgical Hand Disinfection. MICCAI (3) Tamás Haidegger, Melinda Nagy, Ákos Lehotsky, László Szilágyi
2011	C	`conf`	Efficient 3D Curve Skeleton Extraction from Large Objects. CIARP László Szilágyi, Sándor M. Szilágyi, David Iclanzan, Lehel Szabó
2011	B	`conf`	Fuzzy-Possibilistic Product Partition: A Novel Robust Approach to MDAI László Szilágyi
2011	C	`conf`	Identification of the Root Canal from Dental Micro-CT Records. CIARP László Szilágyi, Csaba Dobó-Nagy, Balázs Benyó
2011	J	`jnl`	Intensity inhomogeneity compensation and segmentation of MR brain images using hybrid c-means clustering models. Biomed. Signal Process. Control. László Szilágyi, Sándor M. Szilágyi, Balázs Benyó, Zoltán Benyó
2010	B	`conf`	A Generalized Approach to the Suppressed Fuzzy MDAI László Szilágyi, Sándor M. Szilágyi, Csilla Kiss
2010	J	`jnl`	A modified Markov clustering approach to unsupervised classification of protein sequences. Neurocomputing László Szilágyi, Lehel Medvés, Sándor M. Szilágyi
2010	J	`jnl`	Analytical and numerical evaluation of the suppressed fuzzy Soft Comput. László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó
2009	B	`conf`	A generalized c-means clustering model using optimized via evolutionary computation. FUZZ-IEEE László Szilágyi, David Iclanzan, Sándor M. Szilágyi, Dan Dumitrescu, Béat Hirsbrunner
2009	B	`conf`	A unified approach to c-means clustering models. FUZZ-IEEE László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó
2009	Misc	`conf`	A weighted patient specific electromechanical model of the heart. SACI Sándor M. Szilágyi, László Szilágyi, David Iclanzan, Zoltán Benyó
2009	Misc	`conf`	Application of hybrid c-means clustering models in inhomogeneity compensation and MR brain image segmentation. SACI László Szilágyi, Sándor M. Szilágyi, Balázs Benyó, Zoltán Benyó
2008	—	`conf`	A Modified Markov Clustering Approach for Protein Sequence Clustering. PRIB Lehel Medvés, László Szilágyi, Sándor M. Szilágyi
2008	C	`conf`	A Thorough Analysis of the Suppressed Fuzzy C-Means Algorithm. CIARP László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó
2008	C	`conf`	An Enhanced Accessory Pathway Localization Method for Efficient Treatment of Wolff-Parkinson-White Syndrome. CIARP Sándor M. Szilágyi, László Szilágyi, Levente K. Görög, Constantin T. Luca, Dragos Cozma, Gabriel Ivanica, Zoltán Benyó
2008	B	`conf`	Analytical and Numerical Evaluation of the Suppressed Fuzzy C-Means Algorithm. MDAI László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó
2008	C	`conf`	GeCiM: A Novel Generalized Approach to C-Means Clustering. CIARP László Szilágyi, David Iclanzan, Sándor M. Szilágyi, Dan Dumitrescu
2008	—	`conf`	Multi-stage FCM-Based Intensity Inhomogeneity Correction for MR Brain Image Segmentation. ICANN (2) László Szilágyi, Sándor M. Szilágyi, László Dávid, Zoltán Benyó
2007	—	`ch.`	A Modified FCM Algorithm for Fast Segmentation of Brain MR Images. Analysis and Design of Intelligent Systems using Soft Computing Techniques László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó
2007	—	`conf`	A Modified Fuzzy C-Means Algorithm for MR Brain Image Segmentation. ICIAR László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó
2007	C	`conf`	Adaptive ECG Compression Using Support Vector Machine. CIARP Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó
2007	C	`conf`	Echocardiographic Image Sequence Compression Based on Spatial Active Appearance Model. CIARP Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó
2007	—	`conf`	Efficient Feature Extraction for Fast Segmentation of MR Brain Images. SCIA László Szilágyi, Sándor M. Szilágyi, Zoltán Benyó
2007	—	`ch.`	Spatial Heart Simulation and Analysis Using Unified Neural Network. Analysis and Design of Intelligent Systems using Soft Computing Techniques Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó
2007	C	`conf`	Spatial Visualization of the Heart in Case of Ectopic Beats and Fibrillation. PSIVT Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó
2007	—	`ch.`	Support Vector Machine-Based ECG Compression. Analysis and Design of Intelligent Systems using Soft Computing Techniques Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó
2007	C	`conf`	Unified Neural Network Based Pathologic Event Reconstruction Using Spatial Heart Model. CIARP Sándor M. Szilágyi, László Szilágyi, Attila Frigy, Levente K. Görög, Zoltán Benyó
2007	—	`conf`	Volumetric Analysis of the Heart Using Echocardiography. FIMH Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó
2006	—	`conf`	Quick ECG Analysis for On-Line Holter Monitoring Systems. EMBC László Szilágyi, Sándor M. Szilágyi, Gergely Fördös, Zoltán Benyó
2006	—	`conf`	Sensibility analysis of the Arruda localization method. EMBC Sándor M. Szilágyi, László Szilágyi, Zoltán Benyó