Multi-Coil MRI Reconstruction Challenge—Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations

Deep-learning-based brain magnetic resonance imaging (MRI) reconstruction methods have the potential to accelerate the MRI acquisition process. Nevertheless, the scientific community lacks appropriate benchmarks to assess the MRI reconstruction quality of high-resolution brain images, and evaluate h...

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Detalles Bibliográficos
Autores principales: Beauferris, Youssef, Teuwen, Jonas, Karkalousos, Dimitrios, Moriakov, Nikita, Caan, Matthan, Yiasemis, George, Rodrigues, Lívia, Lopes, Alexandre, Pedrini, Helio, Rittner, Letícia, Dannecker, Maik, Studenyak, Viktor, Gröger, Fabian, Vyas, Devendra, Faghih-Roohi, Shahrooz, Kumar Jethi, Amrit, Chandra Raju, Jaya, Sivaprakasam, Mohanasankar, Lasby, Mike, Nogovitsyn, Nikita, Loos, Wallace, Frayne, Richard, Souza, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298878/
https://www.ncbi.nlm.nih.gov/pubmed/35873808
http://dx.doi.org/10.3389/fnins.2022.919186

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298878/
https://www.ncbi.nlm.nih.gov/pubmed/35873808
http://dx.doi.org/10.3389/fnins.2022.919186

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