Learning residual motion correction for fast and robust 3D multiparametric MRI
Pirkl, Carolin M; Cencini, Matteo; Kurzawski, Jan W; Waldmannstetter, Diana; Li, Hongwei; Sekuboyina, Anjany; Endt, Sebastian; Peretti, Luca; Donatelli, Graziella; Pasquariello, Rosa; Costagli, Mauro; Buonincontri, Guido; Tosetti, Michela; Menzel, Marion I; Menze, Bjoern H (2022). Learning residual motion correction for fast and robust 3D multiparametric MRI. Medical Image Analysis, 77:102387.
Additional indexing
Item Type: | Journal Article, refereed, original work |
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Communities & Collections: | 07 Faculty of Science > Department of Quantitative Biomedicine |
Dewey Decimal Classification: | 610 Medicine & health |
Scopus Subject Areas: | Health Sciences > Radiological and Ultrasound Technology
Health Sciences > Radiology, Nuclear Medicine and Imaging Physical Sciences > Computer Vision and Pattern Recognition Health Sciences > Health Informatics Physical Sciences > Computer Graphics and Computer-Aided Design |
Uncontrolled Keywords: | Computer Graphics and Computer-Aided Design, Health Informatics, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and imaging, Radiological and Ultrasound Technology |
Language: | English |
Date: | 1 April 2022 |
Deposited On: | 19 Feb 2023 18:43 |
Last Modified: | 24 Sep 2024 03:30 |
Publisher: | Elsevier |
ISSN: | 1361-8415 |
OA Status: | Hybrid |
Publisher DOI: | https://doi.org/10.1016/j.media.2022.102387 |
PubMed ID: | 35180675 |
Project Information: |
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Permanent URL
https://doi.org/10.5167/uzh-230801Download
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