King's College London

• 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

• 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 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

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