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Automated analysis of lumbar discs, integrating TotalSegmentator for anatomical localization, PyRadiomics for quantitative feature extraction, and machine learn…
A modular Python-based pipeline designed to interact with the XNAT platform to identify, retrieve, and process patient data related to the diagnosis of espondil…
Machine Learning pipeline built with PyTorch and MONAI for the automated classification of intervertebral disc degeneration in 3D MRI scans, utilizing the clini…
Machine learning models for classification of First-Episode Psychosis (FEP) vs Healthy Controls using structural MRI radiomic features. Includes preprocessing, …
Valencia Region Image Bank (BIMCV) that combines data from the PadChest dataset with future datasets based on COVID-19 pathology to provide the open scientific …
Growth cones are important structures for the formation of the central and peripheral nervous system, and for their maintenance during adulthood. The cones are …