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Autor:
Bryce Allen Bagley, Sergei Petrov, Ge Cheng, Matei Armanasu, Nancy Fischbein, Bin Jiang, Michael Iv, Eric Tranvinh, Michael Zeineh, Olivier Gevaert
Publikováno v:
Tuesday, April 25.
Autor:
Bryce Allen Bagley, Sergei Petrov, Ge Cheng, Matei Armanasu, Nancy Fischbein, Bin Jiang, Michael Iv, Eric Tranvinh, Michael Zeineh, Olivier Gevaert
Magnetic resonance imaging (MRI) is the dominant diagnostic technique to non-invasively image the brain, and deep learning has proven a powerful tool for analyzing these images. However, machine learning models trained on such MRI data have empirical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2286f3e441a1545dd81f073a65334b8b
https://doi.org/10.1101/2022.09.21.22280206
https://doi.org/10.1101/2022.09.21.22280206