Dr Andrew King Academics Supervisors Reader in Medical Image Analysis Research subject areas Imaging sciences Contact details andrew.king@kcl.ac.uk +44 (0) 20 7848 9558 @atoandyking
Automated Detection of Apical Foreshortening in Echocardiography using Statistical Shape Modelling Cho Kim, D., Beqiri, A., Lewandowski, A. J., Mumith, A., Sarwar, R., King, A., Leeson, P. & Lamata de la Orden, P., 4 May 2023, (Accepted/In press) In: Ultrasound in Medicine and Biology. Research output: Contribution to journal › Article › peer-review Exploring interpretability in deep learning prediction of successful ablation therapy for atrial fibrillation Ogbomo-Harmitt, S., Muffoletto, M., Zeidan, A., Qureshi, A., King, A. & Aslanidi, O., 14 Mar 2023, In: Frontiers in Physiology. 14, 1054401, 1054401. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.3389/fphys.2023.1054401 A Segmentation-informed Deep Learning Framework to Register Dynamic Two-dimensional Magnetic Resonance Images of the Vocal Tract During Speech Ruthven, M., Miquel, M. E. & King, A. P., Feb 2023, In: Biomedical Signal Processing and Control. 80, 1, 104290. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1016/j.bspc.2022.104290 Beyond Simpson's Rule: Accounting for Orientation and Ellipticity Assumptions Kim, W. J. C., Beqiri, A., Lewandowski, A. J., Puyol-Antón, E., Markham, D. C., King, A. P., Leeson, P. & Lamata, P., Dec 2022, In: Ultrasound in Medicine and Biology. 48, 12, p. 2476-2485 10 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1016/j.ultrasmedbio.2022.07.013 AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography Puyol-Antón, E., Ruijsink, B., Sidhu, B. S., Gould, J., Porter, B., Elliott, M. K., Mehta, V., Gu, H., Rinaldi, C. A., cowie, M., Chowienczyk, P., Razavi, R. & King, A. P., 15 Sep 2022, Simplifying Medical Ultrasound - 3rd International Workshop, ASMUS 2022, held in Conjunction with MICCAI 2022, Proceedings. Aylward, S., Noble, J. A., Hu, Y., Lee, S-L., Baum, Z. & Min, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 75-85 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13565 LNCS). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1007/978-3-031-16902-1_8 Non-invasive Localisation of Post-Infarct Ventricular Tachycardia Exit sites to Guide Ablation Planning: A Computational-Deep Learning Platform Utilising the 12-lead Electrocardiogram and Intracardiac Electrograms from Implanted Devices Monaci, S., Bishop, M., Qian, S., Puyol Anton, E., Elliott, M., Mukherjee, R., Gillette, K., Whitaker, J., Rajani, R., O'Neill, M., Rinaldi, C. A., King, A. & Plank, G., 8 Sep 2022, (Accepted/In press) In: EP Europace. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1093/europace/euac178 A systematic study of race and sex bias in CNN-based cardiac MR segmentation Lee, T., Puyol-Anton, E., Ruijsink, B., Shi, M. & King, A. P., 4 Sep 2022. Research output: Working paper/Preprint › Preprint A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR Byrne, N., Clough, J. R., Valverde, I., Montana, G. & King, A. P., 31 Aug 2022, (E-pub ahead of print) In: IEEE Transactions on Medical Imaging. PP Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.48550/arXiv.2107.12689, https://doi.org/10.1109/TMI.2022.3203309 Deep learning-based quality-controlled spleen assessment from ultrasound images Yuan, Z., Puyol-Antón, E., Jogeesvaran, H., Smith, N., Inusa, B. & King, A. P., Jul 2022, In: Biomedical Signal Processing and Control. 76, 103724. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1016/j.bspc.2022.103724 A Multimodal Deep Learning Model for Cardiac Resynchronisation Therapy Response Prediction Puyol Anton, E., Sidhu, B., Gould, J., Porter, B., Elliott, M., Mehta, V., Rinaldi, C. A. & King, A., 20 Apr 2022, (Accepted/In press) In: Medical Image Analysis. Research output: Contribution to journal › Article › peer-review View all publications
24 February 2023 King's researchers gather for workshop on applying AI to microscopy and imaging The King's Institute for Artificial Intelligence hosted a workshop for researchers to explore how…