Research output per year
Research output per year
- 29 results
Search results
-
2023
Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training
Dawood, T., Chan, E., Razavi, R., King, A. P. & Puyol-Anton, E., 2023.Research output: Contribution to conference types › Paper › peer-review
Open Access -
Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training
Dawood, T., Chan, E., Razavi, R., King, A. P. & Puyol-Anton, E., 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2023-April).Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review
Open Access -
A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot
Govil, S., Crabb, B. T., Deng, Y., Dal Toso, L., Puyol-Antón, E., Pushparajah, K., Hegde, S., Perry, J. C., Omens, J. H., Hsiao, A., Young, A. A. & McCulloch, A. D., 27 Feb 2023, In: Journal of Cardiovascular Magnetic Resonance. 25, 1, 15.Research output: Contribution to journal › Article › peer-review
Open Access6 Citations (Scopus) -
An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation
Lee, T., Puyol-Antón, E., Ruijsink, B., Aitcheson, K., Shi, M. & King, A. P., 9 Oct 2023, Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023, Proceedings. Wesarg, S., Oyarzun Laura, C., Puyol Antón, E., King, A. P., Baxter, J. S. H., Erdt, M., Drechsler, K., Freiman, M., Chen, Y., Rekik, I., Eagleson, R., Feragen, A., Cheplygina, V., Ganz-Benjaminsen, M., Ferrante, E., Glocker, B., Moyer, D. & Petersen, E. (eds.). p. 215-224 10 p. Chapter 21. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14242 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
1 Citation (Scopus) -
A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation
Lee, T., Puyol-Antón, E., Ruijsink, B., Shi, M. & King, A. P., 28 Jan 2023, Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers - 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Revised Selected Papers. Camara, O., Puyol-Antón, E., Suinesiaputra, A., Young, A., Qin, C., Sermesant, M. & Wang, S. (eds.). p. 233-244 12 p. Chapter 22. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13593 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
3 Citations (Scopus) -
Hemodynamic Determinants of Elevated Blood Pressure and Hypertension in the Middle to Older-Age UK Population: A UK Biobank Imaging Study
Li, Y., Chan, E., Puyol-Antón, E., Ruijsink, B., Cecelja, M., King, A. P., Razavi, R. & Chowienczyk, P., Nov 2023, In: Hypertension. 80, 11, p. 2473-2484 12 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images
Dawood, T., Chen, C., Sidhu, B. S., Ruijsink, B., Gould, J., Porter, B., Elliott, M. K., Mehta, V., Rinaldi, C. A., Puyol-Antón, E., Razavi, R. & King, A. P., Aug 2023, In: Medical Image Analysis. 88, 102861.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
2022
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
Open Access2 Citations (Scopus) -
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
Open AccessFile6 Citations (Scopus)105 Downloads (Pure) -
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 Sept 2022, (Accepted/In press) In: EP Europace.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Citations (Scopus)54 Downloads (Pure) -
2021
Artificial Intelligence in Cardiac MRI: Is Clinical Adoption Forthcoming?
Fotaki, A., Puyol-Antón, E., Chiribiri, A., Botnar, R., Pushparajah, K. & Prieto, C., 2021, In: Frontiers in Cardiovascular Medicine. 8, 818765.Research output: Contribution to journal › Review article › peer-review
Open Access23 Citations (Scopus) -
Fairness in AI: are deep learning-based CMR segmentation algorithms biased?
Puyol Anton, E., Ruijsink, B., Piechnik, S. K., Neubauer, S., Petersen, S. E., Razavi, R. & King, A. P., 12 Oct 2021, In: European Heart Journal. 42, Supplement_1Research output: Contribution to journal › Article › peer-review
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2020
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders
Puyol-Antón, E., Ruijsink, B., Clough, J. R., Oksuz, I., Rueckert, D., Razavi, R. & King, A. P., 2020, Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Revised Selected Papers. Pop, M., Sermesant, M., Camara, O., Zhuang, X., Li, S., Young, A., Mansi, T. & Suinesiaputra, A. (eds.). SPRINGER, p. 22-30 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12009 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile3 Citations (Scopus)93 Downloads (Pure) -
2019
Detection and correction of cardiac MRI motion artefacts during reconstruction from k-space
Oksuz, I., Clough, J., Ruijsink, B., Puyol-Antón, E., Bustin, A., Cruz, G., Prieto, C., Rueckert, D., King, A. P. & Schnabel, J. A., 10 Oct 2019, (E-pub ahead of print) In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 695-703 9 p.Research output: Contribution to journal › Conference paper › peer-review
Open AccessFile12 Citations (Scopus)369 Downloads (Pure) -
Global and local interpretability for cardiac MRI classification
Clough, J. R., Oksuz, I., Puyol-Antón, E., Ruijsink, B., King, A. P. & Schnabel, J. A., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 656-664 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
42 Citations (Scopus) -
Improved co-registration of ex-vivo and in-vivo cardiovascular magnetic resonance images using heart-specific flexible 3D printed acrylic scaffold combined with non-rigid registration
Whitaker, J., Neji, R., Byrne, N., Puyol-Antón, E., Mukherjee, R. K., Williams, S. E., Chubb, H., O'Neill, L., Razeghi, O., Connolly, A., Rhode, K., Niederer, S., King, A., Tschabrunn, C., Anter, E., Nezafat, R., Bishop, M. J., O'Neill, M., Razavi, R. & Roujol, S., 10 Oct 2019, In: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. 21, 1, 1 p., 62.Research output: Contribution to journal › Article › peer-review
Open Access10 Citations (Scopus) -
Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas
Puyol-Antón, E., Ruijsink, B., Langet, H., De Craene, M., Piro, P., Schnabel, J. A. & King, A. P., 1 Jan 2019, Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Sermesant, M., Zhao, J., Young, A., Rhode, K., Pop, M., McLeod, K., Mansi, T. & Li, S. (eds.). Springer Verlag, p. 94-102 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11395 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
1 Citation (Scopus) -
Synthesising images and labels between mr sequence types with cycleGAN
Kerfoot, E., Puyol-Antón, E., Ruijsink, B., Ariga, R., Zacur, E., Lamata, P. & Schnabel, J., 1 Jan 2019, Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019 and First International Workshop, MIL3ID 2019 Shenzhen, Held in Conjunction with MICCAI 2019 Shenzhen, 2019 Proceedings. Wang, Q., Milletari, F., Rieke, N., Nguyen, H. V., Roysam, B., Albarqouni, S., Cardoso, M. J., Xu, Z., Kamnitsas, K., Patel, V., Jiang, S., Zhou, K., Luu, K. & Le, N. (eds.). SPRINGER, p. 45-53 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11795 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
7 Citations (Scopus) -
2018
15 Automatic mis-triggering artefact detection for image quality assessment of cardiac MRI
Oksuz, I., Ruijsink, B., Puyol-Anton, E., Rueckert, D., Schnabel, J. A. & King, A. P., 1 May 2018, In: Heart. 104, p. A5-A5Research output: Contribution to journal › Meeting abstract › peer-review
Open AccessFile28 Downloads (Pure) -
Automatic left ventricular outflow tract classification for accurate cardiac MR planning
Oksuz, I., Ruijsink, B., Puyol-Anton, E., Sinclair, M., Rueckert, D., Schnabel, J. A. & King, A. P., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 462-465 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
9 Citations (Scopus) -
Fully automated myocardial strain estimation from cine MRI using convolutional neural networks
Puyol-Anton, E., Ruijsink, B., Bai, W., Langet, H., De Craene, M., Schnabel, J. A., Piro, P., King, A. P. & Sinclair, M., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 1139-1143 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile20 Citations (Scopus)479 Downloads (Pure) -
Multiview machine learning using an atlas of cardiac cycle motion
Puyol-Antón, E., Sinclair, M., Gerber, B., Amzulescu, M. S., Langet, H., De Craene, M., Aljabar, P., Schnabel, J. A., Piro, P. & King, A. P., 15 Mar 2018, (E-pub ahead of print) In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10663 LNCS, p. 3-11 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)210 Downloads (Pure) -
Myocardial Strain Computed at Multiple Spatial Scales from Tagged Magnetic Resonance Imaging: Estimating Cardiac Biomarkers for CRT Patients
Sinclair, M., Peressutti, D., Puyol-Anton, E., Bai, W., Rivolo, S., Webb, J., Claridge, S., Jackson, T., Nordsletten, D., Hadjicharalambous, M., Kerfoot, E., Rinaldi, C. A., Rueckert, D. & King, A. P., Jan 2018, In: Medical Image Analysis. 43, p. 1339-1351Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Citations (Scopus)233 Downloads (Pure) -
Regional Multi-view Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients
Puyol, E., Ruijsink, B., Gerber, B., Amzulescu, M. S., Langet, H., De Craene, M., Schnabel, J. A., Pior, P. & King, A. P., 15 Aug 2018, In: IEEE Transactions on Biomedical Engineering.Research output: Contribution to journal › Article › peer-review
Open AccessFile28 Citations (Scopus)463 Downloads (Pure) -
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors
Tóthová, K., Parisot, S., Lee, M. C. H., Puyol-Antón, E., Koch, L. M., King, A. P., Konukoglu, E. & Pollefeys, M., 23 Nov 2018, (E-pub ahead of print) In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 300-310 11 p.Research output: Contribution to journal › Conference paper › peer-review
9 Citations (Scopus) -
2017
A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data
Puyol Anton, E., Sinclair, M. D. M., Gerber, B., Amzulescu, M. S., Langet, H., DeCraene, M., Aljabar, P., Piro, P. & King, A. P., 13 Jun 2017, In: Medical Image Analysis. 40, p. 96-110Research output: Contribution to journal › Article › peer-review
Open AccessFile26 Citations (Scopus)326 Downloads (Pure) -
Learning optimal spatial scales for cardiac strain analysis using a motion atlas
Sinclair, M., Peressutti, D., Puyol Anton, E., Bai, W., Nordsletten, D., Hadjicharalambous, M., Kerfoot, E., Jackson, T., Claridge, S., Rinaldi, C. A., Rueckert, D. & King, A., 24 Jan 2017, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer‐Verlag Berlin Heidelberg, Vol. 10124 LNCS. p. 57-65 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10124 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile308 Downloads (Pure) -
Semi-automatic cardiac and respiratory gated MRI for cardiac assessment during exercise
Ruijsink, B., Puyol Anton, E., Usman, M., van Amerom, J., Duong, P., Velasco Forte, M., Pushparajah, K., Frigiola, A., Nordsletten, D., King, A. & Razavi, R., 9 Sept 2017, (E-pub ahead of print) Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - 5th International Workshop, CMMI 2017 2nd International Workshop, RAMBO 2017 and 1st International Workshop, SWITCH 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10555 LNCS. p. 86-95 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10555 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review
7 Citations (Scopus) -
2016
Towards a multimodal cardiac motion atlas
Puyol-Anton, E., Peressutti, D., Aljabar, P., De Craene, M., Piro, P. & King, A. P., 15 Jun 2016, In: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) . 2016, p. 32-35 4 p.Research output: Contribution to journal › Conference paper › peer-review
5 Citations (Scopus)