📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field

First Author: Payette K

Attributed to: The use of Advanced MRI techniques to evaluate antenatal lung development. funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-031-43990-2_34

PubMed Identifier: 39404664

Publication URI: http://europepmc.org/abstract/MED/39404664

Type: Book Chapter

Book Title: Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII (2023)

Page Reference: 358-367