Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2067 | 2018 |
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors J Nalepa, PR Lorenzo, M Marcinkiewicz, B Bobek-Billewicz, ... Artificial intelligence in medicine 102, 101769, 2020 | 62 | 2020 |
Evolving data-adaptive support vector machines for binary classification W Dudzik, J Nalepa, M Kawulok Knowledge-Based Systems 227, 107221, 2021 | 36 | 2021 |
Data augmentation via image registration J Nalepa, G Mrukwa, S Piechaczek, PR Lorenzo, M Marcinkiewicz, ... 2019 IEEE International Conference on Image Processing (ICIP), 4250-4254, 2019 | 36 | 2019 |
Segmenting brain tumors from MRI using cascaded multi-modal U-Nets M Marcinkiewicz, J Nalepa, PR Lorenzo, W Dudzik, G Mrukwa Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 36 | 2019 |
Automatic brain tumor segmentation using a two-stage multi-modal fcnn M Marcinkiewicz, J Nalepa, PR Lorenzo, W Dudzik, G Mrukwa Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 15 | 2018 |
Detection and segmentation of brain tumors from MRI using U-nets K Kotowski, J Nalepa, W Dudzik Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 10 | 2020 |
An alternating genetic algorithm for selecting SVM model and training set M Kawulok, J Nalepa, W Dudzik Pattern Recognition: 9th Mexican Conference, MCPR 2017, Huatulco, Mexico …, 2017 | 8 | 2017 |
Ensembles of evolutionarily-constructed support vector machine cascades W Dudzik, J Nalepa, M Kawulok Knowledge-Based Systems 288, 111490, 2024 | 6 | 2024 |
Evolutionarily-tuned support vector machines W Dudzik, M Kawulok, J Nalepa Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 6 | 2019 |
Memetic evolution of training sets with adaptive radial basis kernels for support vector machines J Nalepa, W Dudzik, M Kawulok 2020 25th International Conference on Pattern Recognition (ICPR), 5503-5510, 2021 | 5 | 2021 |
Automated optimization of non-linear support vector machines for binary classification W Dudzik, J Nalepa, M Kawulok International Conference on Intelligent Networking and Collaborative Systems …, 2018 | 5 | 2018 |
Fusing deep learning with support vector machines to detect COVID-19 in X-Ray images J Nalepa, P Bosowski, W Dudzik, M Kawulok Asian Conference on Intelligent Information and Database Systems, 340-353, 2022 | 4 | 2022 |
Optimizing training data and hyperparameters of support vector machines using a memetic algorithm W Dudzik, M Kawulok, J Nalepa Man-Machine Interactions 6: 6th International Conference on Man-Machine …, 2020 | 4 | 2020 |
Evolutionary cortical surface segmentation M Walczak, J Nalepa, M Kawulok, W Dudzik, B Smolka Real-Time Image and Video Processing 2018 10670, 104-114, 2018 | 3 | 2018 |
Cascades of evolutionary support vector machines W Dudzik, J Nalepa, M Kawulok Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 2 | 2022 |
Tuning and evolving support vector machine models J Nalepa, M Kawulok, W Dudzik Man-Machine Interactions 5: 5th International Conference on Man-Machine …, 2018 | 2 | 2018 |
Evolutionary algorithms meet classical and deep machine learning for skin detection in color images J Nalepa, S Czembor, W Dudzik, M Kawulok Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | | 2022 |
Quantification of differences in brain tumor detection on multimodal MRI using deep neural network K Leszczorz, W Dudzik, J Nalepa, J Polanska European Congress of Radiology-ECR 2020, 2020 | | 2020 |
ECONIB: AI for fully-automated segmentation and assessment of glioma from DCE-MRI J Nalepa, PR Lorenzo, M Marcinkiewicz, B Bobek-Billewicz, ... European Congress of Radiology-ECR 2019, 2019 | | 2019 |