Published June 27, 2022 | Version v1
Conference paper Open

Implementation of a deep learning-based tool for automatic Cardiac Magnetic Resonance planning

Authors/Creators

  • 1. Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
  • 2. Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden; School of Biomedical Engineering Imaging Sciences, King's College London, United Kingdom
  • 3. Centre for Marine Sciences - CCMAR, Faro, Portugal; School of Biomedical Engineering Imaging Sciences, King's College London, United Kingdom

Description

Abstract P1.09 | 2nd ISMRM Iberian Chapter Annual Meeting | 27-28 June 2022, Lisbon, Portugal

Notes

This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 867450. (OPTIMAR: OPTical Imaging of Molecular and signalling Activity in Real-time: application to flatfish metamorphosis, https://cordis.europa.eu/project/id/867450).

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