| 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 |
| Brain tumor segmentation from multi-spectral MR image data using random forest classifier S Csaholczi, D Iclănzan, L Kovács, L Szilágyi International Conference on Neural Information Processing, 174-184, 2020 | 8 | 2020 |
| Automatic segmentation of brain tumor parts from MRI data using a random forest classifier S Csaholczi, L Kovács, L Szilágyi 2021 IEEE 19th World Symposium on Applied Machine Intelligence and …, 2021 | 6 | 2021 |
| 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 | 6 | 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 |
| 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 |
