Generative models of MRI-derived neuroimaging features and associated
dataset of 18,000 samples
Generative models of MRI-derived neuroimaging features and associated
dataset of 18,000 samples
Availability of large and diverse medical datasets is often challenged by privacy and data sharing restrictions. For successful application of machine learning techniques for disease diagnosis, prognosis, and precision medicine, large amounts of data are necessary for model building and optimization. To help overcome such limitations in the context of …