Toussaint, Nicolas

ApoE influences regional white-matter axonal density loss in Alzheimer's disease

Slattery, C. F., Zhang, J., Paterson, R. W., Foulkes, A. J. M., Carton, A., Macpherson, K., Mancini, L., Thomas, D. L., Modat, M., Toussaint, N., et al. (2017) · Neurobiology of Aging

Advanced Neuroimaging Techniques and ApplicationsDementia and Cognitive Impairment Research

Cited by 102

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging

Meng, Q., Housden, J., Matthew, J., Rueckert, D., Schnabel, J. A., Kainz, B., Sinclair, M., Zimmer, V., Hou, B., Rajchl, M., et al. (2019) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 52

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

Matthew, J., Skelton, E., Day, T. G., Zimmer, V. A., Gomez, A., Wheeler, G., Toussaint, N., Liu, T., Budd, S., Lloyd, K., et al. (2022) · Prenatal Diagnosis

Artificial Intelligence in Healthcare and EducationPrenatal Screening and Diagnostics

Cited by 41

Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images

Zimmer, V. A., Gomez, A., Skelton, E., Toussaint, N., Zhang, T., Khanal, B., Wright, R., Noh, Y., Ho, A., Matthew, J., et al. (2019) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 20

Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: A clinical evaluation and quality assessment comparison

Skelton, E., Matthew, J., Li, Y., Khanal, B., Cerrolaza Martinez, J. J., Toussaint, N., Gupta, C., Knight, C., Kainz, B., Hajnal, J. V., et al. (2021) · Radiography

Fetal and Pediatric Neurological DisordersArtificial Intelligence in Healthcare and Education

Cited by 11