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Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets., , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 13-24. Springer, (2018)Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors., , , , , , , , , and 1 other author(s). CoRR, (2019)Detection and Segmentation of Brain Tumors from MRI Using U-Nets., , and . BrainLes@MICCAI (2), volume 11993 of Lecture Notes in Computer Science, page 179-190. Springer, (2019)Optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm., , and . ICMMI, volume 1061 of Advances in Intelligent Systems and Computing, page 229-238. Springer, (2019)Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines., , and . ICPR, page 5503-5510. IEEE, (2020)Cascades of evolutionary support vector machines., , and . GECCO Companion, page 240-243. ACM, (2022)Evolutionary algorithms meet classical and deep machine learning for skin detection in color images., , , and . GECCO Companion, page 67-68. ACM, (2022)Evolving data-adaptive support vector machines for binary classification., , and . Knowl. Based Syst., (2021)Evolutionarily-tuned support vector machines., , and . GECCO (Companion), page 165-166. ACM, (2019)Data Augmentation via Image Registration., , , , , , , , , and 3 other author(s). ICIP, page 4250-4254. IEEE, (2019)