| Occlusion handling in generic object detection: A review K Saleh, S Szénási, Z Vámossy 2021 IEEE 19th World Symposium on Applied Machine Intelligence and …, 2021 | 60 | 2021 |
| Configuring genetic algorithm to solve the inverse heat conduction problem S Szénási, I Felde 2017 IEEE 15th International Symposium on Applied Machine Intelligence and …, 2017 | 31 | 2017 |
| Implementation of a distributed genetic algorithm for parameter optimization in a cell nuclei detection project S Szénási, Z Vámossy Acta Polytechnica Hungarica 10 (4), 59-86, 2013 | 29 | 2013 |
| Parallel biomedical image processing with gpgpus in cancer research A Reményi, S Szénási, I Bándi, Z Vámossy, G Valcz, P Bogdanov, ... 3rd IEEE International Symposium on Logistics and Industrial Informatics …, 2011 | 29 | 2011 |
| Evaluation and comparison of cell nuclei detection algorithms S Szénási, Z Vámossy, M Kozlovszky 2012 IEEE 16th International Conference on Intelligent Engineering Systems …, 2012 | 28 | 2012 |
| Distributed Region Growing Algorithm for Medical Image Segmentation S Szénási | 24 | 2013 |
| Statistical accident analysis supporting the control of autonomous vehicles S Szénási, G Kertész, I Felde, L Nádai Journal of Computational Methods in Sciences and Engineering 21 (1), 85-97, 2021 | 22 | 2021 |
| A method to identify black spot candidates in built-up areas S Szénási, D Jankó Journal of Transportation Safety & Security 9 (1), 20-44, 2017 | 22 | 2017 |
| Evolutionary algorithm for optimizing parameters of GPGPU-based image segmentation S Szénási, Z Vámossy Acta Polytechnica Hungarica 10 (5), 7-28, 2013 | 22 | 2013 |
| Using multiple graphics accelerators to solve the two-dimensional inverse heat conduction problem S Szénási, I Felde Computer Methods in Applied Mechanics and Engineering 336, 286-303, 2018 | 20 | 2018 |
| Solving one-dimensional IHCP with particle swarm optimization using graphics accelerators S Szenási, J von Neumann, I Felde, I Kovács 2015 IEEE 10th Jubilee International Symposium on Applied Computational …, 2015 | 20 | 2015 |
| GPGPU-based data parallel region growing algorithm for cell nuclei detection S Szénási, Z Vámossy, M Kozlovszky 2011 IEEE 12th International Symposium on Computational Intelligence and …, 2011 | 19 | 2011 |
| Estimation of temporospatial boundary conditions using a particle swarm optimisation technique I Felde, S Szénási International Journal of Microstructure and Materials Properties 11 (3-4 …, 2016 | 18 | 2016 |
| Multi-directional image projections with fixed resolution for object matching G Kertész, S Szénási, Z Vámossy Acta Polytechnica Hungarica 15 (2), 211-229, 2018 | 17 | 2018 |
| CLUSTERING ALGORITHM IN ORDER TO FIND ACCIDENT BLACK SPOTS IDENTIFIED BY GPS COORDIANTES S Szénási, P Csiba | 17 | 2014 |
| Performance measurement of a general multi-scale template matching method G Kertész, S Szénási, Z Vámossy 2015 IEEE 19th International Conference on Intelligent Engineering Systems …, 2015 | 16 | 2015 |
| Segmentation of colon tissue sample images using multiple graphics accelerators S Szénási Computers in biology and medicine 51, 93-103, 2014 | 16 | 2014 |
| Preparing initial population of genetic algorithm for region growing parameter optimization S Szénási, Z Vámossy, M Kozlovszky 2012 4th IEEE International Symposium on Logistics and Industrial …, 2012 | 16 | 2012 |
| Analysis of historical road accident data supporting autonomous vehicle control strategies S Szénási PeerJ Computer Science 7, e399, 2021 | 15 | 2021 |
| Colon cancer diagnosis on digital tissue images Z Kerekes, Z Tóth, S Szénási, S Sergyan 2013 IEEE 9th International Conference on Computational Cybernetics (ICCC …, 2013 | 15 | 2013 |
Vámossy ZoltánÓbuda UniversityE-mail megerősítve itt: nik.uni-obuda.hu
