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

Abstract Availability of large and diverse medical datasets is often challenged by privacy and data sharing restrictions. Successful application of machine learning techniques for disease diagnosis, prognosis, and precision medicine, requires large amounts of data for model building and optimization...

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Bibliographic Details
Main Authors: Sai Spandana Chintapalli, Rongguang Wang, Zhijian Yang, Vasiliki Tassopoulou, Fanyang Yu, Vishnu Bashyam, Guray Erus, Pratik Chaudhari, Haochang Shou, Christos Davatzikos
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-024-04157-4

Internet

https://doi.org/10.1038/s41597-024-04157-4

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