Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Christophe Schuelke"'
Autor:
Nicola Pezzotti, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Fransiscus Van Gemert, Christophe Schuelke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. Van Osch, Elwin De Weerdt, Marius Staring
Publikováno v:
IEEE Access, Vol 8, Pp 204825-204838 (2020)
Adaptive intelligence aims at empowering machine learning techniques with the additional use of domain knowledge. In this work, we present the application of adaptive intelligence to accelerate MR acquisition. Starting from undersampled k-space data,
Externí odkaz:
https://doaj.org/article/723dd39f480f476b9cf7a6eac71a4db7
Autor:
Jeroen Hendrikus Fransiscus Van Gemert, Elwin de Weerdt, Tim Nielsen, Mohamed S. Elmahdy, Boudewijn P. F. Lelieveldt, Sahar Yousefi, Nicola Pezzotti, Mariya Doneva, Christophe Schuelke, Marius Staring, Matthias J.P. van Osch, Sergey Kastryulin
Publikováno v:
IEEE Access, 8, 204825-204838. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
IEEE Access, Vol 8, Pp 204825-204838 (2020)
IEEE Access, 8
IEEE Access, Vol 8, Pp 204825-204838 (2020)
IEEE Access, 8
Adaptive intelligence aims at empowering machine learning techniques with the additional use of domain knowledge. In this work, we present the application of adaptive intelligence to accelerate MR acquisition. Starting from undersampled k-space data,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01ffbddabfb16b8e854bce8a89aa63fd
http://hdl.handle.net/1887/3184247
http://hdl.handle.net/1887/3184247
