Items where Author is "Tolsgaard, M. G."
    Lekadir, K.  ORCID: 0000-0002-9456-1612, Frangi, A. F., Porras, A. R. , Glocker, B., Cintas, C., Langlotz, C. P., Weicken, E., Asselbergs, F. W., Prior, F., Collins, G. S., Kaissis, G., Tsakou, G., Buvat, I., Kalpathy-Cramer, J., Mongan, J., Schnabel, J. A., Kushibar, K., Riklund, K., Marias, K., Amugongo, L. M., Fromont, L. A., Maier-Hein, L., Cerdá-Alberich, L., Martí-Bonmatí, L., Cardoso, M. J., Bobowicz, M., Shabani, M., Tsiknakis, M., Zuluaga, M. A., Fritzsche, M-C., Camacho, M., Linguraru, M. G., Wenzel, M., De Bruijne, M., Tolsgaard, M. G., Goisauf, M., Cano Abadía, M., Papanikolaou, N., Lazrak, N., Pujol, O., Osuala, R., Napel, S., Colantonio, S., Joshi, S., Klein, S., Aussó, S., Rogers, W. A., Salahuddin, Z., Starmans, M. P. A., FUTURE-AI Consortium & Botwe, B. O.
ORCID: 0000-0002-9456-1612, Frangi, A. F., Porras, A. R. , Glocker, B., Cintas, C., Langlotz, C. P., Weicken, E., Asselbergs, F. W., Prior, F., Collins, G. S., Kaissis, G., Tsakou, G., Buvat, I., Kalpathy-Cramer, J., Mongan, J., Schnabel, J. A., Kushibar, K., Riklund, K., Marias, K., Amugongo, L. M., Fromont, L. A., Maier-Hein, L., Cerdá-Alberich, L., Martí-Bonmatí, L., Cardoso, M. J., Bobowicz, M., Shabani, M., Tsiknakis, M., Zuluaga, M. A., Fritzsche, M-C., Camacho, M., Linguraru, M. G., Wenzel, M., De Bruijne, M., Tolsgaard, M. G., Goisauf, M., Cano Abadía, M., Papanikolaou, N., Lazrak, N., Pujol, O., Osuala, R., Napel, S., Colantonio, S., Joshi, S., Klein, S., Aussó, S., Rogers, W. A., Salahuddin, Z., Starmans, M. P. A., FUTURE-AI Consortium & Botwe, B. O.  ORCID: 0000-0002-0477-640X (2025).
    FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
    BMJ, 388,
    
    article number e081554.
    
    doi: 10.1136/bmj-2024-081554
ORCID: 0000-0002-0477-640X (2025).
    FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
    BMJ, 388,
    
    article number e081554.
    
    doi: 10.1136/bmj-2024-081554
  
    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
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
  
 
               
              ![[up]](/style/images/multi_up.png) Up a level
 Up a level