Items where Author is "Temmerman, M."
Article
Sendra-Balcellsa, C., Campello, V. M., Torrents-Barrena, J. , Ahmed, Y., Elattar, M., Ohene-Botwe, B. 
ORCID: 0000-0002-0477-640X, Nyangulu, P., Stones, W., Ammar, M., Benamer, L. N., Kisembo, H. N., Sereke, S. G., Wanyonyi, S. Z., Temmerman, M., Gratac´oso, E., Bonet, E., Eixarch, E., Mikolaj, K., Tolsgaard, M. G. & Lekadir, K. (2023).
Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries.
Scientific Reports, 13(1),
article number 2728.
doi: 10.1038/s41598-023-29490-3
von Dadelszen, P., Flint-O'Kane, M., Poston, L. , Craik, R., Russell, D., Tribe, R. M., d'Alessandro, U., Roca, A., Jah, H., Temmerman, M., Koech Etyang, A., Sevene, E., Chin, P., Lawn, J. E., Blencowe, H., Sandall, J., Salisbury, T. T., Barratt, B., Shennan, A. H., Makanga, P. T., Magee, L. A., PRECISE Network & Daniele, M. ORCID: 0000-0002-5666-9489 (2020).
The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) Network's first protocol: deep phenotyping in three sub-Saharan African countries.
Reproductive Health, 17(S1),
article number 51.
doi: 10.1186/s12978-020-0872-9