King's College London

Research portal

Professor Alistair Young

  1. Four-dimensional flow cardiovascular magnetic resonance in tetralogy of Fallot: a systematic review

    Elsayed, A., Gilbert, K., Scadeng, M., Cowan, B. R., Pushparajah, K. & Young, A. A., Dec 2021, In: Journal of Cardiovascular Magnetic Resonance. 23, 1, 59.

    Research output: Contribution to journalReview articlepeer-review

  2. Right-left ventricular shape variations in tetralogy of Fallot: associations with pulmonary regurgitation

    Mauger, C. A., Govil, S., Chabiniok, R., Gilbert, K., Hegde, S., Hussain, T., McCulloch, A. D., Occleshaw, C. J., Omens, J., Perry, J. C., Pushparajah, K., Suinesiaputra, A., Zhong, L. & Young, A. A., Dec 2021, In: Journal of Cardiovascular Magnetic Resonance. 23, 1, 105.

    Research output: Contribution to journalArticlepeer-review

  3. Domain Adaptation for Automatic Aorta Segmentation of 4D Flow Magnetic Resonance Imaging Data from Multiple Vendor Scanners

    Aviles, J., Talou, G. D. M., Camara, O., Córdova, M. M., Ferez, X. M., Romero, D., Ferdian, E., Gilbert, K., Elsayed, A., Young, A. A., Dux-Santoy, L., Ruiz-Munoz, A., Teixido-Tura, G., Rodriguez-Palomares, J. & Guala, A., 2021, Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. Ennis, D. B., Perotti, L. E. & Wang, V. Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 112-121 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12738 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  4. In Vivo Pressure-Volume Loops and Chamber Stiffness Estimation Using Real-Time 3D Echocardiography and Left Ventricular Catheterization – Application to Post-heart Transplant Patients

    Freytag, B., Wang, V. Y., Zhao, D., Gilbert, K., Quill, G., Hasaballa, A. I., Babarenda Gamage, T. P., Doughty, R. N., Legget, M. E., Ruygrok, P., Young, A. A. & Nash, M. P., 2021, Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. Ennis, D. B., Perotti, L. E. & Wang, V. Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 396-405 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12738 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  5. Noninvasive quantification of cerebrovascular pressure changes using 4D Flow MRI

    Marlevi, D., Schollenberger, J., Aristova, M., Ferdian, E., Ma, Y., Young, A. A., Edelman, E. R., Schnell, S., Figueroa, C. A. & Nordsletten, D. A., Dec 2021, In: Magnetic Resonance in Medicine. 86, 6, p. 3096-3110 15 p.

    Research output: Contribution to journalArticlepeer-review

  6. Preface

    Anton, E. P., Pop, M., Sermesant, M., Campello, V., Lalande, A., Lekadir, K., Suinesiaputra, A., Camara, O. & Young, A., 2021, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 12592 LNCS, p. v-vii

    Research output: Contribution to journalEditorialpeer-review

  7. Sensitivity of Myocardial Stiffness Estimates to Inter-observer Variability in LV Geometric Modelling

    Hasaballa, A. I., Babarenda Gamage, T. P., Wang, V. Y., Zhao, D., Mauger, C. A., Gilbert, K., Wang, Z. J., Freytag, B., Cao, J. J., Young, A. A. & Nash, M. P., 2021, Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. Ennis, D. B., Perotti, L. E. & Wang, V. Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 287-295 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12738 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  8. Artificial Intelligence in Cardiac Imaging With Statistical Atlases of Cardiac Anatomy

    Gilbert, K., Mauger, C., Young, A. A. & Suinesiaputra, A., 30 Jun 2020, In: Frontiers in Cardiovascular Medicine. 7, 102.

    Research output: Contribution to journalReview articlepeer-review

  9. 4DFlowNet: Super-Resolution 4D Flow MRI Using Deep Learning and Computational Fluid Dynamics

    Ferdian, E., Suinesiaputra, A., Dubowitz, D. J., Zhao, D., Wang, A., Cowan, B. & Young, A. A., 4 May 2020, In: Frontiers in Physics. 8, 138.

    Research output: Contribution to journalArticlepeer-review

  10. Fully automated myocardial strain estimation from cardiovascular MRI–Tagged images using a deep learning framework in the UK biobank

    Ferdian, E., Suinesiaputra, A., Fung, K., Aung, N., Lukaschuk, E., Barutcu, A., Maclean, E., Paiva, J., Piechnik, S. K., Neubauer, S., Petersen, S. E. & Young, A. A., Feb 2020, In: Radiology: Cardiothoracic Imaging. 2, 1, e190032.

    Research output: Contribution to journalArticlepeer-review

  11. Comparison of 2D Echocardiography and Cardiac Cine MRI in the Assessment of Regional Left Ventricular Wall Thickness

    van Hal, V. H. J., Zhao, D., Gilbert, K., Gamage, T. P. B., Mauger, C., Doughty, R. N., Legget, M. E., Zhao, J., Nalar, A., Camara, O., Young, A. A., Wang, V. Y. & Nash, M. P., 1 Jan 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. 52-62 11 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 proceedingConference paperpeer-review

  12. Computational analysis of cardiac structure and function in congenital heart disease: Translating discoveries to clinical strategies

    Forsch, N., Govil, S., Perry, J. C., Hegde, S., Young, A. A., Omens, J. H. & McCulloch, A. D., 1 Jan 2020, (Accepted/In press) In: Journal of Computational Science . 101211.

    Research output: Contribution to journalArticlepeer-review

  13. Microstructurally Motivated Constitutive Modeling of Heart Failure Mechanics

    Hasaballa, A. I., Wang, V. Y., Sands, G. B., Wilson, A. J., Young, A. A., LeGrice, I. J. & Nash, M. P., 17 Dec 2019, In: Biophysical Journal. 117, 12, p. 2273-2286 14 p.

    Research output: Contribution to journalArticlepeer-review

  14. Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study

    Gilbert, K., Bai, W., Mauger, C., Medrano-Gracia, P., Suinesiaputra, A., Lee, A. M., Sanghvi, M. M., Aung, N., Piechnik, S. K., Neubauer, S., Petersen, S. E., Rueckert, D. & Young, A. A., 1 Dec 2019, In: Scientific Reports. 9, 1, 1130.

    Research output: Contribution to journalArticlepeer-review

  15. Machine learning in cardiovascular magnetic resonance: Basic concepts and applications

    Leiner, T., Rueckert, D., Suinesiaputra, A., Baeßler, B., Nezafat, R., Išgum, I. & Young, A. A., 7 Oct 2019, In: Journal of Cardiovascular Magnetic Resonance. 21, 1, 61.

    Research output: Contribution to journalReview articlepeer-review

  16. Changes in Cardiac Morphology and Function in Individuals With Diabetes Mellitus: The UK Biobank Cardiovascular Magnetic Resonance Substudy

    Jensen, M. T., Fung, K., Aung, N., Sanghvi, M. M., Chadalavada, S., Paiva, J. M., Khanji, M. Y., de Knegt, M. C., Lukaschuk, E., Lee, A. M., Barutcu, A., Maclean, E., Carapella, V., Cooper, J., Young, A., Piechnik, S. K., Neubauer, S. & Petersen, S. E., 1 Sep 2019, In: Circulation. Cardiovascular imaging. 12, 9, p. e009476

    Research output: Contribution to journalArticlepeer-review

  17. Right ventricular shape and function: Cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank

    Mauger, C., Gilbert, K., Lee, A. M., Sanghvi, M. M., Aung, N., Fung, K., Carapella, V., Piechnik, S. K., Neubauer, S., Petersen, S. E., Suinesiaputra, A. & Young, A. A., 18 Jul 2019, In: Journal of Cardiovascular Magnetic Resonance. 21, 1, 41.

    Research output: Contribution to journalArticlepeer-review

  18. End-Diastolic and End-Systolic LV Morphology in the Presence of Cardiovascular Risk Factors: A UK Biobank Study

    Gilbert, K., Suinesiaputra, A., Neubauer, S., Piechnik, S., Aung, N., Petersen, S. E. & Young, A., 30 May 2019, (E-pub ahead of print) Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings. Coudière, Y., Zemzemi, N., Ozenne, V. & Vigmond, E. (eds.). Springer Verlag, p. 304-312 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11504 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  19. A novel atlas-based strategy for understanding cardiac dysfunction in patients with congenital heart disease

    Salehyar, S., Forsch, N., Gilbert, K., Young, A. A., Perry, J. C., Hegde, S., Omens, J. H. & McCulloch, A. D., 1 Jan 2019, In: MCB Molecular and Cellular Biomechanics. 16, 3, p. 179-183 5 p.

    Research output: Contribution to journalArticlepeer-review

  20. Orthogonal decomposition of left ventricular remodeling in myocardial infarction

    Zhang, X., Medrano-gracia, P., Ambale-venkatesh, B., Bluemke, D. A., Cowan, B. R., Finn, J. P., Kadish, A. H., Lee, D. C., Lima, J. A. C., Young, A. A. & Suinesiaputra, A., 1 Mar 2017, In: Gigascience. 6, 3

    Research output: Contribution to journalArticlepeer-review

  21. Quantification of LV function and mass by cardiovascular magnetic resonance: Multi-center variability and consensus contours

    Suinesiaputra, A., Bluemke, D. A., Cowan, B. R., Friedrich, M. G., Kramer, C. M., Kwong, R., Plein, S., Schulz-Menger, J., Westenberg, J. J. M., Young, A. A. & Nagel, E., 2015, In: Journal of Cardiovascular Magnetic Resonance.

    Research output: Contribution to journalArticlepeer-review

  22. Left ventricular shape variation in asymptomatic populations: the multi-ethnic study of atherosclerosis

    Medrano-Gracia, P., Cowan, B., Ambale-Venkatesh, B., Bluemke, D., Eng, J., Finn, J. P., Fonseca, C., Lima, J., Suinesiaputra, A. & Young, A. A., 30 Jul 2014, In: Journal of Cardiovascular Magnetic Resonance. 16, 56.

    Research output: Contribution to journalArticlepeer-review

  23. A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images

    Suinesiaputra, A., Cowan, B. R., Al-Agamy, A. O., Elattar, M. A., Ayache, N., Fahmy, A. S., Khalifa, A. M., Medrano-Gracia, P., Jolly, M-P., Kadish, A. H., Lee, D. C., Margeta, J., Warfield, S. K. & Young, A. A., Jan 2014, In: Medical Image Analysis. 18, 1, p. 50-62

    Research output: Contribution to journalArticlepeer-review

  24. Atlas-based quantification of cardiac remodeling due to myocardial infarction

    Zhang, X., Cowan, B. R., Bluemke, D. A., Finn, J. P., Fonseca, C. G., Kadish, A. H., Lee, D. C., Lima, J. A. C., Suinesiaputra, A., Young, A. A. & Medrano-Gracia, P., 2014, In: PloS one. 9, 10, e110243.

    Research output: Contribution to journalArticlepeer-review

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