Identifying the optimal regional predictor of right ventricular global function: a high‐resolution three‐dimensional cardiac magnetic resonance study

Por Dawes, T. J. W., de Marvao, A., Shi, W., Rueckert, D., Cook, S. A., O'Regan, D. P.
Publicado no Anaesthesia (2018)

Free-running cardiac magnetic resonance fingerprinting: Joint T1/T2 map and Cine imaging

Por Jaubert, O., Cruz, G., Bustin, A., Schneider, T., Koken, P., Doneva, M., Rueckert, D., Botnar, R.M., Prieto, C.
Publicado no Magn Reson Imaging (2020)

White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks

Por Guerrero, R., Qin, C., Oktay, O., Bowles, C., Chen, L., Joules, R., Wolz, R., Valdés-Hernández, M.C., Dickie, D.A., Wardlaw, J., Rueckert, D.
Publicado no Neuroimage Clin (2017)

Sex and regional differences in myocardial plasticity in Aortic Stenosis are revealed by 3D model machine learning

Por Bhuva, AN, Treibel, TA, De Marvao, A, Biffi, C, Dawes, TJW, Doumou, G, Bai, W, Patel, K, Boubertakh, R, Rueckert, D, O’Regan, DP, Hughes, AD, Moon, JC, Manisty, CH
Publicado no Eur Heart J Cardiovasc Imaging (2019)

Automated analysis of atrial late gadolinium enhancement imaging that correlates with endocardial voltage and clinical outcomes: A 2-center study

Por Malcolme-Lawes, L.C., Juli, C., Karim, R., Bai, W., Quest, R., Lim, P.B., Jamil-Copley, S., Kojodjojo, P., Ariff, B., Davies, D.W., Rueckert, D., Francis, D.P., Hunter, R., Jones, D., Boubertakh, R., Petersen, S.E., Schilling, R., Kanagaratnam, P., Peters, N.S.
Publicado em 2013