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Lszl Szilgyi

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

65

Venues

11

Active years

2007–2025

Best venue rank

C

Where they publish

Papers

65 indexed papers, newest first.

YearVenueTitleAuthors
2025SACIExploring Vision Transformer Architectures for Brain Tumor Classification: A Comprehensive Study.Lehel Dnes-Fazakas, Barbara Simon, dm Hartvg, Szabolcs Csaholczi, Gyrgy Eigner, Levente Kovcs, Lszl Szilgyi
2024CIARPSegmentation of Brain Tumor Parts from Multi-spectral MRI Records Using Deep Learning and U-Net Architecture.Szabolcs Csaholczi, gnes Gyrfi, Levente Kovcs, Lszl Szilgyi
2024SMCEnhanced Spatial-Temporal Analysis for EEG-Based Microsleep Detection: Integrating Kalman Filtering with Voronoi Tessellation and Adaptive Coverage Control.Attila Bir, Antonio Ignacio Cuesta-Vargas, Lszl Szilgyi
2024SMCA Self-Tuning Version for the Fuzzy-Possibilistic Product Partition c-Means Algorithm.Mirtill-Boglrka Naghi, Vladik Kreinovich, Levente Kovcs, Lszl Szilgyi
2024SACIReview of Reinforcement Learning-Based Control Algorithms in Artificial Pancreas Systems for Diabetes Mellitus Management.Lehel Dnes-Fazakas, Gyozo Dnes Fazakas, Gyrgy Eigner, Levente Kovcs, Lszl Szilgyi
2024SACIWeb Application Development for Diabetes Patients.Mikls Nagy, Barbara Simon, Lszl Szsz, Mt Siket, Lehel Dnes-Fazakas, Gyrgy Eigner, Patrik Pter Sli, Levente Kovcs, Lszl Szilgyi
2024SACIMobile Application Development for Diabetes Patient.Csaba Potyok, Barbara Simon, dm Hartvg, Mt Siket, Lehel Dnes-Fazakas, Gyrgy Eigner, Miln Balzs, Levente Kovcs, Lszl Szilgyi
2024SISYEnhancing Diabetes Management Through GRU Analysis of Physical Activity Effects.Barbara Simon, dm Hartvg, Mt Siket, Lehel Dnes-Fazakas, Levente Kovcs, Lszl Szilgyi, Gbor Kertsz, Gyrgy Eigner
2023SMCsRPE and ACWR to Control Fatigue Levels and Minimize Injuries in Performance Sports.Attila Bir, Antonio Ignacio Cuesta-Vargas, Lszl Szilgyi
2023SMCBrain Tumor Segmentation from Multi-Spectral MRI Records Using a U-Net Cascade Architecture.Lehel Dnes-Fazakas, Levente Kovcs, Gyrgy Eigner, Lszl Szilgyi
2023SMCEffect of Hyperparameters of Reinforcement Learning in Blood Glucose Control.Lehel Dnes-Fazakas, Mt Siket, Lszl Szilgyi, Gyrgy Eigner, Levente Kovcs
2023SMCBrain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture.gnes Gyorfi, Levente Kovcs, Lszl Szilgyi
2023SACIInvestigation of reward functions for controlling blood glucose level using reinforcement learning.Lehel Dnes-Fazakas, Mt Siket, Lszl Szilgyi, Gyrgy Eigner, Levente Kovcs
2023SISYApplied AI for Real-Time Detection of Lesions and Tumors Following Severe Head Injuries.Attila Bir, Antonio Ignacio Cuesta-Vargas, Lszl Szilgyi
2023SISYFuzzy-Possibilistic Product Partition: the First Twelve Years.Lszl Szilgyi
2022SMCControl of Type 1 Diabetes Mellitus using direct reinforcement learning based controller.Lehel Dnes-Fazakas, Mt Siket, Gbor Kertsz, Lszl Szilgyi, Levente Kovcs, Gyrgy Eigner
2020ICONIPBrain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier.Szabolcs Csaholczi, David Iclanzan, Levente Kovcs, Lszl Szilgyi
2020ICONIPReal Valued Card Counting Strategies for the Game of Blackjack.Mzes Vidmi, Lszl Szilgyi, David Iclanzan
2020SMCBrain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach.gnes Gyorfi, Szabolcs Csaholczi, Tmea Flp, Levente Kovcs, Lszl Szilgyi
2019CIARPA Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data.gnes Gyorfi, Zoltn Karetka-Mezei, David Iclanzan, Levente Kovcs, Lszl Szilgyi
2019CIARPBrain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods.gnes Gyorfi, Levente Kovcs, Lszl Szilgyi
2019ICONIPLearning to Generate Ambiguous Sequences.David Iclanzan, Lszl Szilgyi
2019MDAIApplications of Different CNN Architectures for Palm Vein Identification.Szidnia Lefkovits, Lszl Lefkovits, Lszl Szilgyi
2019SMCBrain Tumor Detection and Segmentation from Magnetic Resonance Image Data Using Ensemble Learning Methods.gnes Gyorfi, Levente Kovcs, Lszl Szilgyi
2018ICONIPEvolving Computationally Efficient Hashing for Similarity Search.David Iclanzan, Sndor Mikls Szilgyi, Lszl Szilgyi
2018MDAIA Self-tuning Possibilistic c-Means Clustering Algorithm.Lszl Szilgyi, Szidnia Lefkovits, Zsolt Levente Kucsvn
2018MICCAIBrain Tumor Segmentation and Survival Prediction Using a Cascade of Random Forests.Szidnia Lefkovits, Lszl Szilgyi, Lszl Lefkovits
2017CIARPA Possibilistic c-means Clustering Model with Cluster Size Estimation.Lszl Szilgyi, Sndor M. Szilgyi
2017ICCCNA Highly Adaptive and Energy-Efficient Optical Interconnect for On-Board Server Communications.Waltenegus Dargie, David Schoeniger, Lszl Szilgyi, Xin An, Ronny Henker, Frank Ellinger
2017PSIVTAutomatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach.Zoltn Kaps, Lszl Lefkovits, David Iclanzan, gnes Gyorfi, Barna Lszl Iantovics, Szidnia Lefkovits, Sndor Mikls Szilgyi, Lszl Szilgyi
2017PSIVTBiometric System Based on Registration of Dorsal Hand Vein Configurations.Szidnia Lefkovits, Simina Emerich, Lszl Szilgyi
2016ICONIPFast Color Quantization via Fuzzy Clustering.Lszl Szilgyi, Gellrt Dnesi, Calin Enachescu
2016ICONIPA Study on Cluster Size Sensitivity of Fuzzy c-Means Algorithm Variants.Lszl Szilgyi, Sndor M. Szilgyi, Calin Enachescu
2016MDAIAutomatic Detection and Segmentation of Brain Tumor Using Random Forest Approach.Zoltn Kaps, Lszl Lefkovits, Lszl Szilgyi
2016MICCAIBrain Tumor Segmentation with Optimized Random Forest.Lszl Lefkovits, Szidnia Lefkovits, Lszl Szilgyi
2015ICONIPSocietal Intelligence - A New Perspective for Highly Intelligent Systems.Lszl Barna Iantovics, Lszl Szilgyi, Camelia-Mihaela Pintea
2015ICONIPNeural Population Coding of Stimulus Features.David Iclanzan, Lszl Szilgyi
2015ICONIPAutomatic Brain Tumor Segmentation in Multispectral MRI Volumetric Records.Lszl Szilgyi, Lszl Lefkovits, Barna Iantovics, David Iclanzan, Balzs Beny
2015ICONIPRecent Advances in Improving the Memory Efficiency of the TRIBE MCL Algorithm.Lszl Szilgyi, Lajos Lornd Nagy, Sndor Mikls Szilgyi
2015ISCASA high-voltage DC bias architecture implementation in a 17 Gbps low-power common-cathode VCSEL driver in 80 nm CMOS.Lszl Szilgyi, Guido Belfiore, Ronny Henker, Frank Ellinger
2015MDAIA Unified Theory of Fuzzy c-Means Clustering Models with Improved Partition.Lszl Szilgyi
2014ICONIPSensor Drift Compensation Using Fuzzy Interference System and Sparse-Grid Quadrature Filter in Blood Glucose Control.Pter Szalay, Lszl Szilgyi, Zoltn Beny, Levente Kovcs
2014ICONIPSynthetic Test Data Generation for Hierarchical Graph Clustering Methods.Lszl Szilgyi, Levente Kovcs, Sndor Mikls Szilgyi
2014ICONIPA Fast and Memory-Efficient Hierarchical Graph Clustering Algorithm.Lszl Szilgyi, Sndor Mikls Szilgyi, Bat Hirsbrunner
2014MDAIApplication of the Fuzzy-Possibilistic Product Partition in Elliptic Shell Clustering.Lszl Szilgyi, Zsuzsa Rka Varga, Sndor Mikls Szilgyi
2014SISYComparison of various improved-partition fuzzy c-means clustering algorithms in fast color reduction.Lszl Szilgyi, Gellert Denesi, Levente Kovcs, Sndor M. Szilgyi
2013CIARPStudy of Electric and Mechanic Properties of the Implanted Artificial Cardiac Tissue Using a Whole Heart Model.Sndor Mikls Szilgyi, Lszl Szilgyi, Bat Hirsbrunner
2013MDAIFast Implementations of Markov Clustering for Protein Sequence Grouping.Lszl Szilgyi, Sndor Mikls Szilgyi
2011CIARPIdentification of the Root Canal from Dental Micro-CT Records.Lszl Szilgyi, Csaba Dob-Nagy, Balzs Beny
2011CIARPAn Efficient Approach to Intensity Inhomogeneity Compensation Using c-Means Clustering Models.Lszl Szilgyi, David Iclanzan, Lehel Craciun, Sndor M. Szilgyi
2011CIARPEfficient 3D Curve Skeleton Extraction from Large Objects.Lszl Szilgyi, Sndor M. Szilgyi, David Iclanzan, Lehel Szab
2011MDAIFuzzy-Possibilistic Product Partition: A Novel Robust Approach toLszl Szilgyi
2011MICCAIDigital Imaging for the Education of Proper Surgical Hand Disinfection.Tams Haidegger, Melinda Nagy, kos Lehotsky, Lszl Szilgyi
2010MDAIA Generalized Approach to the Suppressed FuzzyLszl Szilgyi, Sndor M. Szilgyi, Csilla Kiss
2009SACIApplication of hybrid c-means clustering models in inhomogeneity compensation and MR brain image segmentation.Lszl Szilgyi, Sndor M. Szilgyi, Balzs Beny, Zoltn Beny
2009SACIA weighted patient specific electromechanical model of the heart.Sndor M. Szilgyi, Lszl Szilgyi, David Iclanzan, Zoltn Beny
2008CIARPGeCiM: A Novel Generalized Approach to C-Means Clustering.Lszl Szilgyi, David Iclanzan, Sndor M. Szilgyi, Dan Dumitrescu
2008CIARPA Thorough Analysis of the Suppressed Fuzzy C-Means Algorithm.Lszl Szilgyi, Sndor M. Szilgyi, Zoltn Beny
2008CIARPAn Enhanced Accessory Pathway Localization Method for Efficient Treatment of Wolff-Parkinson-White Syndrome.Sndor M. Szilgyi, Lszl Szilgyi, Levente K. Grg, Constantin T. Luca, Dragos Cozma, Gabriel Ivanica, Zoltn Beny
2008ICANNMulti-stage FCM-Based Intensity Inhomogeneity Correction for MR Brain Image Segmentation.Lszl Szilgyi, Sndor M. Szilgyi, Lszl Dvid, Zoltn Beny
2008MDAIAnalytical and Numerical Evaluation of the Suppressed Fuzzy C-Means Algorithm.Lszl Szilgyi, Sndor M. Szilgyi, Zoltn Beny
2007CIARPAdaptive ECG Compression Using Support Vector Machine.Sndor M. Szilgyi, Lszl Szilgyi, Zoltn Beny
2007CIARPEchocardiographic Image Sequence Compression Based on Spatial Active Appearance Model.Sndor M. Szilgyi, Lszl Szilgyi, Zoltn Beny
2007CIARPUnified Neural Network Based Pathologic Event Reconstruction Using Spatial Heart Model.Sndor M. Szilgyi, Lszl Szilgyi, Attila Frigy, Levente K. Grg, Zoltn Beny
2007PSIVTSpatial Visualization of the Heart in Case of Ectopic Beats and Fibrillation.Sndor M. Szilgyi, Lszl Szilgyi, Zoltn Beny