| A fully automatic procedure for brain tumor segmentation from multi-spectral MRI records using ensemble learning and atlas-based data enhancement Á Győrfi, L Szilágyi, L Kovács Applied Sciences 11 (2), 564, 2021 | 23 | 2021 |
| Low and high grade glioma segmentation in multispectral brain MRI data L Szilágyi, D Iclanzan, Z Kapás, Z Szabó, A Gyorfi, L Lefkovits Acta Universitatis Sapientiae, Informatica 10 (1), 110-132, 2018 | 22 | 2018 |
| Brain tumor detection and segmentation from magnetic resonance image data using ensemble learning methods Á Győrfi, L Kovács, L Szilágyi 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 12 | 2019 |
| Automatic brain tumor segmentation in multispectral MRI volumes using a random forest approach Z Kapás, L Lefkovits, D Iclănzan, Á Győrfi, BL Iantovics, S Lefkovits, ... Pacific-Rim Symposium on Image and Video Technology, 137-149, 2017 | 11 | 2017 |
| Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data A Kőble, Á Győrfi, S Csaholczi, B Surányi, L Dénes-Fazakas, L Kovács, ... 2021 IEEE AFRICON, 1-6, 2021 | 10 | 2021 |
| A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data * Á Győrfi, L Kovács, L Szilágyi 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 10 | 2019 |
| Automatic segmentation of low-grade brain tumor using a random forest classifier and Gabor features Z Szabó, Z Kapás, L Lefkovits, Á Győrfi, SM Szilágyi, L Szilágyi | 9 | 2018 |
| Brain tumor segmentation from MRI data using ensemble learning and multi-atlas T Fülöp, Á Győrfi, B Surányi, L Kovács, L Szilágyi 2020 IEEE 18th world symposium on applied machine intelligence and …, 2020 | 7 | 2020 |
| A study on histogram normalization for brain tumour segmentation from multispectral MR image data Á Győrfi, Z Karetka-Mezei, D Iclănzan, L Kovács, L Szilágyi Iberoamerican Congress on Pattern Recognition, 375-384, 2019 | 6 | 2019 |
| Brain tumor segmentation from multi-spectral magnetic resonance image data using an ensemble learning approach Á Győrfi, S Csaholczi, T Fülöp, L Kovács, L Szilágyi 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 5 | 2020 |
| Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning* T Fülöp, Á Győrfi, S Csaholczi, L Kovács, L Szilágyi 2020 IEEE 15th International Conference of System of Systems Engineering …, 2020 | 4 | 2020 |
| A two-stage U-net approach to brain tumor segmentation from multi-spectral MRI records Á Győrfi, L Kovács, L Szilágyi Acta Universitatis Sapientiae, Informatica 14 (2), 223-247, 2022 | 2 | 2022 |
| The effect of spectral resolution upon the accuracy of brain tumor segmentation from multi-spectral MRI data Á Győrfi, T Fülöp, L Kovács, L Szilágyi 2020 IEEE 18th World Symposium on Applied Machine Intelligence and …, 2020 | 2 | 2020 |
| Brain tumour segmentation from multispectral mr image data using ensemble learning methods Á Győrfi, L Kovács, L Szilágyi Iberoamerican Congress on Pattern Recognition, 326-335, 2019 | 2 | 2019 |
| Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture Á Győrfi, L Kovács, L Szilágyi 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023 | | 2023 |
| Effect of spectral resolution on the segmentation quality of magnetic resonance imaging data Á Győrfi, S Csaholczi, IM Lukáts-Pisak, L Dénes-Fazakas, A Kőble, ... 2022 IEEE 26th International Conference on Intelligent Engineering Systems …, 2022 | | 2022 |
