Welcome to GEIBAC
At GEIBAC, we are dedicated to advancing the frontiers of neurosurgical care through the integration of cutting-edge artificial intelligence technologies. As part of the Neurosurgery Department at the University Hospital Río Hortega, our multidisciplinary team specializes in developing AI-driven tools and solutions tailored to improve the diagnosis, treatment, and management of neurosurgical conditions.
We are proud to be part of the Instituto de Investigación Biosanitaria de Valladolid (IBioVALL), a research institute fostering innovation in biomedical science. This affiliation enables us to collaborate with a wider network of experts and leverage state-of-the-art resources to advance our mission.
Our Mission
Our mission is to bridge the gap between medical imaging, computational analysis, and clinical practice, delivering innovative technologies that enhance precision and patient outcomes. Explore our platform to discover the tools and solutions we have developed to transform neurosurgical care.
Medical imaging
Computational analysis
Clinical practice
Join us in shaping the future of neurosurgery with GEIBAC
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Contact Us
+34 983 42 04 00 ext. 85954
C/ Dulzaina 2, 47012 Valladolid, Spain
About Us
We are neurosurgeons from the Neurosurgery Department at the University Hospital Río Hortega, with extensive experience in the computational analysis of medical imaging, particularly neuroimaging. Our work integrates expertise in neurosurgical pathologies with cutting-edge solutions in artificial intelligence.
Under the leadership of Dr. Santiago Cepeda, our team comprises Dr. Olga Esteban, Dr. Ignacio Arrese, and Dr. Rosario Sarabia, all of whom contribute their specialized knowledge and dedication to advancing innovation in this field.
Our AI-powered solutions
RH-GlioSeg
RH-GlioSeg is an advanced automatic segmentation model based on deep learning, specifically designed for pre- and post-operative glioblastoma studies. The model has been rigorously trained on the nnUNet framework using 586 scans, achieving superior performance compared to other currently available models.
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GlioMap
GlioMap is an innovative solution designed to predict areas of infiltration and subsequent recurrence in glioblastoma using radiomic features derived from multiparametric MRI.
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Mortality-SAH
Mortality-SAH is an advanced deep learning tool designed for research purposes, providing mortality risk predictions for patients with aneurysmal subarachnoid hemorrhage (SAH) based on their initial non-contrast brain CT scans.
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CereBleed
CereBleed is a deep learning-powered tool for the automatic segmentation, classification, and quantification of intracranial hemorrhage (ICH) from non-contrast head CT scans.
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