Andrew P King
Andrew P King
Reader in Medical Image Analysis, King's College London
Dirección de correo verificada de - Página principal
Citado por
Citado por
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
Respiratory Motion Models: A Review
JR McClelland, DJ Hawkes, T Schaeffter, AP King
Medical Image Analysis, 2012
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
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
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
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
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
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
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
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
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
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
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
Statistics for biomedical engineers and scientists: how to visualize and analyze data
AP King, R Eckersley
Academic Press, 2019
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
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
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
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
A stochastic iterative closest point algorithm (stochastICP)
GP Penney, PJ Edwards, AP King, JM Blackall, PG Batchelor, DJ Hawkes
International Conference on Medical Image Computing and Computer-Assisted …, 2001
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20