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Machine Learning for Medical Image Reconstruction (eBook)

5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Artikelnummer: 978-3-031-17247-2
Einband: PDF
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This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2022, held in conjunction with MICCAI 2022, in September 2022, held in Singapore.

The 15 papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2022, held in conjunction with MICCAI 2022, in September 2022, held in Singapore.

The 15 papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2022
Seitenangabe157 S.
AusgabekennzeichenEnglisch
AbbildungenVIII, 157 p. 83 illus., 54 illus. in color.
Masse27'117 KB
PlattformPDF
ReiheLecture Notes in Computer Science; Computer Science; Computer Science ; Springer Nature Proceedings Computer Science
AutorHaq, Nandinee (Hrsg.) / Johnson, Patricia (Hrsg.) / Maier, Andreas (Hrsg.) / Qin, Chen (Hrsg.) / Würfl, Tobias (Hrsg.) / Yoo, Jaejun (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Computer Science; Computer Science; Computer Science (R0); Springer Nature Proceedings Computer Science"

Weitere Titel von Nandinee (Hrsg.) Haq

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