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Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome., , , , , , , and . Frontiers Robotics AI, (2022)A transfer-learning approach for lesion detection in endoscopic images from the urinary tract., , , , , , , and . CoRR, (2021)BioHIPI: Biomedical Hadoop Image Processing Interface., , , and . MOD, volume 10710 of Lecture Notes in Computer Science, page 540-548. Springer, (2017)Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma., , , , , , , , , and 2 other author(s). Int. J. Comput. Assist. Radiol. Surg., 18 (10): 1849-1856 (October 2023)A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture., , , , , , , and . ICPR, page 9203-9210. IEEE, (2020)Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling., , and . LOD, volume 11331 of Lecture Notes in Computer Science, page 166-178. Springer, (2018)Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network., , , , and . IEEE Robotics Autom. Lett., 6 (3): 6039-6045 (2021)Biomedical Data Augmentation Using Generative Adversarial Neural Networks., , , and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 626-634. Springer, (2017)A tensor-based mutation operator for Neuroevolution of Augmenting Topologies (NEAT)., , , , and . CEC, page 681-687. IEEE, (2017)Ensemble Learning for Multiple Sclerosis Disability Estimation Using Brain Structural Connectivity., , , , and . Brain Connect., 12 (5): 476-488 (2022)