| Semi-supervised learning for network-based cardiac MR image segmentation W Bai, O Oktay, M Sinclair, H Suzuki, M Rajchl, G Tarroni, B Glocker, ... Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 497 | 2017 |
| Respiratory Motion Models: A Review JR McClelland, DJ Hawkes, T Schaeffter, AP King Medical Image Analysis, 2012 | 475 | 2012 |
| A topological loss function for deep-learning based image segmentation using persistent homology JR Clough, N Byre, I Oksuz, VA Zimmer, JA Schnabel, AP King IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (4), 988-997, 2020 | 279 | 2020 |
| Design and evaluation of a system for microscope-assisted guided interventions (MAGI) PJ Edwards, AP King, CR Maurer, DA De Cunha, DJ Hawkes, DLG Hill, ... IEEE Transactions on Medical Imaging 19 (11), 1082-1093, 2000 | 257 | 2000 |
| Left-ventricle quantification using residual U-Net E Kerfoot, J Clough, I Oksuz, J Lee, AP King, JA Schnabel Statistical Atlases and Computational Models of the Heart. Atrial …, 2019 | 201 | 2019 |
| Fully automated, quality-controlled cardiac analysis from CMR: validation and large-scale application to characterize cardiac function B Ruijsink, E Puyol-Antón, I Oksuz, M Sinclair, W Bai, JA Schnabel, ... Cardiovascular Imaging 13 (3), 684-695, 2020 | 185 | 2020 |
| Thoracic respiratory motion estimation from MRI using a statistical model and a 2-D image navigator AP King, C Buerger, C Tsoumpas, PK Marsden, T Schaeffter Medical image analysis 16 (1), 252-264, 2012 | 150 | 2012 |
| Alignment of sparse freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation JM Blackall, GP Penney, AP King, DJ Hawkes IEEE transactions on medical imaging 24 (11), 1405-1416, 2005 | 140 | 2005 |
| Statistics for biomedical engineers and scientists: how to visualize and analyze data AP King, R Eckersley Academic Press, 2019 | 114 | 2019 |
| Hierarchical adaptive local affine registration for fast and robust respiratory motion estimation C Buerger, T Schaeffter, AP King Medical image analysis 15 (4), 551-564, 2011 | 113 | 2011 |
| Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning I Oksuz, B Ruijsink, E Puyol-Antón, JR Clough, G Cruz, A Bustin, C Prieto, ... Medical image analysis 55, 136-147, 2019 | 109 | 2019 |
| Fairness in cardiac MR image analysis: an investigation of bias due to data imbalance in deep learning based segmentation E Puyol-Antón, B Ruijsink, SK Piechnik, S Neubauer, SE Petersen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 100 | 2021 |
| Fast generation of 4D PET-MR data from real dynamic MR acquisitions C Tsoumpas, C Buerger, AP King, P Mollet, V Keereman, ... Physics in Medicine & Biology 56 (20), 6597, 2011 | 100 | 2011 |
| A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures AP King, R Boubertakh, KS Rhode, YL Ma, P Chinchapatnam, G Gao, ... Medical Image Analysis 13 (3), 419-431, 2009 | 95 | 2009 |
| Simultaneous PET–MR acquisition and MR-derived motion fields for correction of non-rigid motion in PET C Tsoumpas, JE Mackewn, P Halsted, AP King, C Buerger, JJ Totman, ... Annals of nuclear medicine 24, 745-750, 2010 | 88 | 2010 |
| Estimation of passive and active properties in the human heart using 3D tagged MRI L Asner, M Hadjicharalambous, R Chabiniok, D Peresutti, E Sammut, ... Biomechanics and modeling in mechanobiology 15, 1121-1139, 2016 | 87 | 2016 |
| Nonrigid motion modeling of the liver from 3-D undersampled self-gated golden-radial phase encoded MRI C Buerger, RE Clough, AP King, T Schaeffter, C Prieto IEEE transactions on medical imaging 31 (3), 805-815, 2012 | 84 | 2012 |
| Global and local interpretability for cardiac MRI classification JR Clough, I Oksuz, E Puyol-Antón, B Ruijsink, AP King, JA Schnabel International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 83 | 2019 |
| Explicit topological priors for deep-learning based image segmentation using persistent homology JR Clough, I Oksuz, N Byrne, JA Schnabel, AP King International Conference on Information Processing in Medical Imaging, 16-28, 2019 | 83 | 2019 |
| A system for microscope-assisted guided interventions AP King, PJ Edwards, CR Maurer Jr, DA De Cunha, DJ Hawkes, DLG Hill, ... Stereotactic and Functional Neurosurgery 72 (2-4), 107-111, 2000 | 82 | 2000 |
Esther Puyol-AntónSenior Research Scientist, HeartFlowVerified email at kcl.ac.uk
