Gliomas account for approximately 30% of all brain and central nervous system tumors, and 80% of all malignant brain tumors. Glioblastoma multiforme (GBM) are the most commonly encountered and aggressive malignant primary tumor (15%) of the central nervous system in adults, accounting for approximately 55% of all gliomas. Nowadays, the standard of care treatment for GBM patients consists in surgical resection followed by radiotherapy and chemotherapy, leaving then the subject untreated for the succeeding four months. Deep Learning (DL) has achieved cutting edge results in several medical fields, with its applicability ranging from lesion segmentation to disease relapse prediction. Neuro-oncology, being one of those, has seen important advancements, especially in automating neuroradiology tasks such as brain tumor detection and segmentation.