Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images
Ricardo Pizarro, Haz-Edine Assemlal, Sethu K. Boopathy Jegathambal, Thomas Jubault, Samson B. Antel, Douglas Lorne Arnold, Amir Shmuel
This paper develops a deep learning method with uncertainty estimation to detect MRI artifacts in large imbalanced datasets, achieving high accuracy and outperforming previous approaches.
Medical Image Analysis · Sep 9, 2023Peer-reviewedBioinformatics