1 code implementation • 18 Jul 2022 • Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D Desai, Christopher M Sandino, Shreyas Vasanawala, John M Pauly, Morteza Mardani, Mert Pilanci
However, they require several iterations of a large neural network to handle high-dimensional imaging tasks such as 3D MRI.
1 code implementation • 14 Mar 2022 • Arjun D Desai, Andrew M Schmidt, Elka B Rubin, Christopher M Sandino, Marianne S Black, Valentina Mazzoli, Kathryn J Stevens, Robert Boutin, Christopher Ré, Garry E Gold, Brian A Hargreaves, Akshay S Chaudhari
While recent machine learning methods for MRI reconstruction and analysis have shown promise for reducing this burden, these techniques are primarily validated with imperfect image quality metrics, which are discordant with clinically-relevant measures that ultimately hamper clinical deployment and clinician trust.
1 code implementation • 30 Sep 2021 • Arjun D Desai, Batu M Ozturkler, Christopher M Sandino, Robert Boutin, Marc Willis, Shreyas Vasanawala, Brian A Hargreaves, Christopher M Ré, John M Pauly, Akshay S Chaudhari
Deep learning (DL) has shown promise for faster, high quality accelerated MRI reconstruction.