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 | 12 | 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 | 9 | 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 | 7 | 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 | 5 | 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 | 1 | 2022 |
Using Resizing Layer in U-Net to Improve Memory Efficiency L Dénes-Fazakas, S Csaholczi, G Eigner, L Kovács, L Szilágyi International Conference on Dependability of Computer Systems, 38-48, 2024 | | 2024 |
Brain Tumor Classification Using Convolutional Neural Networks and Deep Learning S Csaholczi, L Kovács, L Szilágyi 2024 IEEE 11th International Conference on Computational Cybernetics and …, 2024 | | 2024 |
Challenges and Difficulties of Multi-Spectral MRI Based Brain Tumor Detection and Segmentation L Szilágyi, Á Györfi, L Dénes-Fazakas, S Csaholczi, IM Pisak-Lukáts, ... 2023 1st International Conference on Health Science and Technology (ICHST), 1-6, 2023 | | 2023 |