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Placenta. 2019 Apr;79:78-82. doi: 10.1016/j.placenta.2018.10.010. Epub 2018 Oct 31.

Placenta Imaging Workshop 2018 report: Multiscale and multimodal approaches.

Author information

1
Centre for Medical Image Computing and Department of Computer Science, University College London, UK. Electronic address: p.slator@ucl.ac.uk.
2
Dept. of Medical Physics and Biomedical Engineering, University College London, UK; Institute for Women's Health, University College London, UK.
3
Dept. of Medical Physics and Biomedical Engineering, University College London, UK.
4
Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London, UK.
5
Institute for Women's Health, University College London, UK; NIHR University College London Hospitals Biomedical Research Centre, London, UK.
6
University of Southampton, UK.
7
Institute for Women's Health, University College London, UK.
8
Hôpital Necker & Paris Descartes University, France, LUMIERE Platform, EHU Fetus Affiliated to the IMAGINE Institute, France.
9
Paris Descartes University, France.
10
King's College London, UK.
11
Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK.
12
Dept. of Medical Physics and Biomedical Engineering, University College London, UK; King's College London, UK.

Abstract

The Centre for Medical Image Computing (CMIC) at University College London (UCL) hosted a two-day workshop on placenta imaging on April 12th and 13th 2018. The workshop consisted of 10 invited talks, 3 contributed talks, a poster session, a public interaction session and a panel discussion about the future direction of placental imaging. With approximately 50 placental researchers in attendance, the workshop was a platform for engineers, clinicians and medical experts in the field to network and exchange ideas. Attendees had the chance to explore over 20 posters with subjects ranging from the movement of blood within the placenta to the efficient segmentation of fetal MRI using deep learning tools. UCL public engagement specialists also presented a poster, encouraging attendees to learn more about how to engage patients and the public with their research, creating spaces for mutual learning and dialogue.

KEYWORDS:

Collaboration; Modelling; Multi-modal; Multi-scale; Placenta; Pregnancy

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