City Research Online - Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time

Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time

Matthew, Jacqueline, Skelton, Emily ORCID: 0000-0003-0132-7948, Day, Thomas G , Zimmer, Veronika A, Gomez, Alberto, Wheeler, Gavin, Toussaint, Nicolas, Liu, Tianrui, Budd, Samuel, Lloyd, Karen, Wright, Robert, Deng, Shujie, Ghavami, Nooshin, Sinclair, Matthew, Meng, Qingjie, Kainz, Bernhard, Schnabel, Julia A, Rueckert, Daniel, Razavi, Reza, Simpson, John & Hajnal, Jo (2021). Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time. PRENATAL DIAGNOSIS, 42(1), pp. 49-59. doi: 10.1002/pd.6059

Publication Type:	Article
Publisher Keywords:	1103 Clinical Sciences, 1114 Paediatrics and Reproductive Medicine
Related URLs:	Author
SWORD Depositor:	Symplectic Administrator

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Creators:	Matthew, Jacqueline Skelton, Emily ORCID: 0000-0003-0132-7948 Day, Thomas G Zimmer, Veronika A Gomez, Alberto Wheeler, Gavin Toussaint, Nicolas Liu, Tianrui Budd, Samuel Lloyd, Karen Wright, Robert Deng, Shujie Ghavami, Nooshin Sinclair, Matthew Meng, Qingjie Kainz, Bernhard Schnabel, Julia A Rueckert, Daniel Razavi, Reza Simpson, John Hajnal, Jo
Status:	Published
Journal or Publication Title:	PRENATAL DIAGNOSIS
Publisher:	Wiley
ISSN:	0197-3851
e-ISSN:	1097-0223
URI:	https://openaccess.city.ac.uk/id/eprint/28933
Date available in CRO:	04 Oct 2022 13:08
Date deposited:	4 October 2022
Dates:	Date Event 7 October 2021 Accepted