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Learning residual motion correction for fast and robust 3D multiparametric MRI

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Item Type:Journal Article, refereed, original work
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:
  • Funder: DFG
  • Grant ID:
  • Project Title:
  • Funder: Ministero della Salute
  • Grant ID:
  • Project Title:
  • Funder: H2020
  • Grant ID: 952172
  • Project Title: CHAIMELEON - Accelerating the lab to market transition of AI tools for cancer management
  • Funder: GE Healthcare
  • Grant ID:
  • Project Title:
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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