Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries
- Carla Sendra-Balcells
- , Víctor M. Campello
- , Jordina Torrents-Barrena
- , Yahya Ali Ahmed
- , Mustafa Elattar
- , Benard Ohene-Botwe
- , Pempho Nyangulu
- , William Stones
- , Mohammed Ammar
- , Lamya Nawal Benamer
- , Harriet Nalubega Kisembo
- , Senai Goitom Sereke
- , Sikolia Z. Wanyonyi
- , Marleen Temmerman
- , Eduard Gratacós
- , Elisenda Bonet
- , Elisenda Eixarch
- , Kamil Mikolaj
- , Martin Grønnebæk Tolsgaard
- , Karim Lekadir
- University of Barcelona
- Hewlett-Packard
- Suez University
- Nile University
- Intixel Co. S.A.E.
- University of London
- Kamuzu University of Health Sciences
- M'Hamed Bougara University of Boumerdes
- Algiers University
- Mulago National Referral and Teaching Hospital
- Makerere University
- Aga Khan University
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)
- Centro de Investigación en Red de Enfermedades Raras (CIBERER)
- Universitat Politècnica de Catalunya
- Rigshospitalet
Research output: Contribution to journal › Article › peer-review
44
Citations
(Scopus)