Continuous quantitative mapping of multi-organ T1 relaxation times with ShMOLLI to assess dose response in respiratory challenges at 3T by Piechnik SK, Ferreira V, Neubauer S, Robson MD

Multi-input and dataset-invariant adversarial learning (MDAL) for left and right-ventricular coverage estimation in cardiac MRI by Zhang, L, Pereañez, M, Piechnik, SK, Neubauer, S, Petersen, SE, Frangi, AF

Ensemble of deep convolutional neural networks with Monte Carlo dropout sampling for automated image segmentation quality control and robust deep learning using small datasets by Hann, E, Gonzales, RA, Popescu, IA, Zhang, Q, Ferreira, VM, Piechnik, SK

Joint learning of motion estimation and segmentation for cardiac MR image sequences by Qin, C, Bai, W, Schlemper, J, Petersen, SE, Piechnik, SK, Neubauer, S, Rueckert, D

Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach by Guo, F, Ng, M, Goubran, M, Petersen, SE, Piechnik, SK, Neubauer, S, Wright, G

Gadolinium-fbee virtual native enhancement for chronic myocardial infarction assessment: independent blinded validation and reproducibility between two centres by Swoboda, PP, Thompson, P, Zhang, Q, Shabi, M, Neubauer, S, Piechnik, SK, Ferreira, VM, Plein, S

Validation of cardiovascular magnetic resonance-derived equation for predicted left ventricular Mass Using the UK Biobank Imaging Cohort: tool for donor-recipient size matching by Fung, K, Cheshire, C, Cooper, JA, Catarino, P, Piechnik, SK, Neubauer, S, Bhagra, S, Pettit, S, Petersen, SE

Standardized image post-processing of cardiovascular magnetic resonance T1-mapping reduces variability and improves accuracy and consistency in myocardial tissue characterization by Carapella, V, Puchta, H, Lukaschuk, E, Marini, C, Werys, K, Neubauer, S, Ferreira, VM, Piechnik, SK

Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping by Hann, E, Popescu, IA, Gonzales, RA, Zhang, Q, Barutçu, A, Neubauer, S, Ferreira, VM, Piechnik, SK

Pitfalls of blinded T1-map image analysis by human operator and impact on measured stress T1 responses by Masi, A, Zhang, Q, Soundarajan, R, Leal Pelado, J, Baker, C, Neubauer, S, Ferreira, VM, Piechnik, SK

High throughput computation of reference ranges of biventricular cardiac function on the UK biobank population cohort by Attar, R, Pereañez, M, Gooya, A, Albà, X, Zhang, L, Piechnik, SK, Neubauer, S, Petersen, SE, Frangi, AF

Deep learning for automated insertion point annotation of CMR late gadolinium enhancement and virtual native enhancement images by Gonzales, RA, Zhang, Q, Burrage, MK, Altun, İ, Heiberg, E, Peters, DC, Neubauer, S, Ferreira, VM, Piechnik, SK

Novel diagnostic criterion for microvascular ischaemia using cmr perfusion imaging: validation against invasive index of microvascular resistance by Liu, AQ, Wijesurendra, RS, Liu, JM, Forfar, JC, Channon, KM, Neubauer, S, Piechnik, SK, Kharbanda, RK, Ferreira, VM

TVnet: automated global analysis of tricuspid valve plane motion in CMR long-axis cines with residual neural networks for assessment of right ventricular function by Gonzales, RA, Lamy, J, Thomas, KE, Zhang, Q, Shanmuganathan, M, Heiberg, E, Ferreira, VM, Piechnik, SK, Peters, DC

Identification of myocardial disarray in patients with hypertrophic cardiomyopathy and ventricular arrhythmias by Ariga, R, Tunnicliffe, EM, Manohar, SG, Mahmod, M, Raman, B, Piechnik, SK, Francis, JM, Robson, MD, Neubauer, S, Watkins, H

Development of deep learning virtual native enhancement for gadolinium-free myocardial infarction and viability assessment by Zhang, Q, Burrage, MK, Shanmuganathan, M, Gonzales, RA, Nikolaidou, C, Popescu, IA, Lukaschuk, E, Neubauer, S, Ferreira, VM, Piechnik, SK

Cardiac stress T1-mapping response and extracellular volume stability of MOLLI-based T1-mapping methods by Burrage, MK, Shanmuganathan, M, Zhang, Q, Hann, E, Popescu, IA, Soundarajan, R, Chow, K, Neubauer, S, Ferreira, VM, Piechnik, SK

Automated CMR index of left ventricular diastolic function (e'): a validation study against echocardiography in the large-scale Beta3-LVH trial by Gonzales, RA, Arvidsson, PM, Lukaschuk, E, Balligand, J-L, Heiberg, E, Peters, DC, Zhang, Q, Ferreira, VM, Piechnik, SK

TVnet: a deep-learning approach for enhanced right ventricular function analysis through tricuspid valve motion tracking by Gonzales, RA, Lamy, J, Thomas, KE, Yiu, K, Zhang, Q, Shanmuganathan, M, Heiberg, E, Ferreira, VM, Piechnik, SK, Peters, DC

MOCOnet: robust motion correction of cardiovascular magnetic resonance T1 mapping using convolutional neural networks by Gonzales, RA, Zhang, Q, Papież, BW, Werys, K, Lukaschuk, E, Popescu, IA, Burrage, MK, Shanmuganathan, M, Ferreira, VM, Piechnik, SK