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
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 Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-based Segmentation Puyol-Anton, E., Ruijsink, B., Mariscal Harana, J., Piechnik, S. K., Neubauer, S., Petersen, S. E., Razavi, R., Chowienczyk, P. & King, A. P., 7 Apr 2022, In: Frontiers in Cardiovascular Medicine. 9, 859310. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.3389/fcvm.2022.859310 Neural-network dose-prediction for rectal spacer stratification in dose-escalated prostate radiotherapy Thomas, C., Dregely, I., Oksuz, I., Urbano, T. G., Greener, T., King, A. P. & Barrington, S. F., Apr 2022, In: Medical Physics. 49, 4, p. 2172-2182 11 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1002/mp.15575 View all publications
13 April 2022 AI models can be racially biased when trained on unbalanced data sets, researchers find They found that where AI models are used, misdiagnoses would occur for under or non-represented…