Dr Andrew King Academics Reader in Medical Image Analysis Contact details andrew.king@kcl.ac.uk +44 (0) 20 7848 9558 @atoandyking
Quality-aware semi-supervised learning for CMR segmentation Ruijsink, B., Puyol Anton, E., Li, Y., Bai, W., Kerfoot, E., Razavi, R. & King, A., 26 Aug 2020, 2020 Conference on Medical Image Computing and Computer Assisted Interventions: Workshop on Statistical Atlases and Computational Modelling of the Heart. Springer Research output: Chapter in Book/Report/Conference proceeding - Conference paper Automated quantification of myocardial tissue characteristics from native T1mapping using neural networks with uncertainty-based quality-control Puyol-Antón, E., Ruijsink, B., Baumgartner, C. F., Masci, P. G., Sinclair, M., Konukoglu, E., Razavi, R. & King, A. P., 20 Aug 2020, In : Journal of Cardiovascular Magnetic Resonance. 22, 1, 60. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1186/s12968-020-00650-y A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology Clough, J., Byrne, N., Oksuz, I., Zimmer, V., Schnabel, J. & King, A., 25 Jul 2020, (Accepted/In press) In : IEEE Transactions on Pattern Analysis and Machine Intelligence. Research output: Contribution to journal - Article Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation Oksuz, I., Clough, J., Ruijsink, B., Puyol Anton, E., Bustin, A., Lima da Cruz, G., Prieto Vasquez, C., King, A. & Schnabel, J., 3 Jul 2020, (Accepted/In press) In : IEEE Transactions on Medical Imaging. Research output: Contribution to journal - Article Analyzing oropharyngeal cancer survival outcomes: a decision tree approach De Felice, F., Humbert-Vidan, L., Lei, M., King, A. & Guerrero Urbano, T., 1 Jul 2020, In : The British journal of radiology. 93, 1111, 1 p. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1259/bjr.20190464 A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography Fuin, N., Bustin, A., Küstner, T., Oksuz, I., Clough, J., King, A. P., Schnabel, J. A., Botnar, R. M. & Prieto, C., Jul 2020, In : Magnetic Resonance Imaging. 70, p. 155-167 13 p. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1016/j.mri.2020.04.007 Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol Varela, M., Queiros, S., Anjari, M., Correia, T., King, A. P., Bharath, A. A. & Lee, J., Jul 2020, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Institute of Electrical and Electronics Engineers Inc., p. 1178-1181 4 p. 9175383. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2020-July). Research output: Chapter in Book/Report/Conference proceeding - Conference paper. DOIs: https://doi.org/10.1109/EMBC44109.2020.9175383 Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with uncertainty-based quality-control Puyol Anton, E., Ruijsink, B., Baumgartner, C. F., Masci, P-G., Sinclair, M., Konukoglu, E., Razavi, R. & King, A., 11 Jun 2020, (Accepted/In press) In : Journal of cardiovascular magnetic resonance. Research output: Contribution to journal - Article Machine Learning Approaches for Myocardial Motion and Deformation Analysis Duchateau, N., King, A. P. & De Craene, M., 9 Jan 2020, In : Frontiers in Cardiovascular Medicine. 6, 190. Research output: Contribution to journal - Review article. DOIs: https://doi.org/10.3389/fcvm.2019.00190 ACTIVE TRAINING OF PHYSICS-INFORMED NEURAL NETWORKS TO AGGREGATE AND INTERPOLATE PARAMETRIC SOLUTIONS TO THE NAVIER-STOKES EQUATIONS Arthurs, C. & King, A., 2020, (Submitted) In : JOURNAL OF COMPUTATIONAL PHYSICS. Research output: Contribution to journal - Article View all publications