King's College London

Research portal

Professor Pablo Lamata de la Orden

  1. 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 journalArticlepeer-review

  2. Left Ventricular Anatomy in Obstructive Hypertrophic Cardiomyopathy: Beyond Basal Septal Hypertrophy

    Hermida Nunez, U., Stojanovski, D., Raman, B., Ariga, R., Young, A., Carapella, V., Carr-White, G., Lukaschuk, E., Piechnik, S. K., Kramer, C. M., Desai, M. Y., Weintraub, W., Neubauer, S., Watkins, H. & Lamata de la Orden, P., 31 Oct 2022, (Accepted/In press) In: European Heart Journal-Cardiovascular Imaging.

    Research output: Contribution to journalArticlepeer-review

  3. Calibration of cohorts of virtual patient heart models using Bayesian history matching

    Rodero, C., Longobardi, S., Augustin, C. M., Strocchi, M., Plank, G., Lamata de la Orden, P. & Niederer, S., 29 Sep 2022, (Accepted/In press) In: Annals of Biomedical Engineering. 20 p.

    Research output: Contribution to journalArticlepeer-review

  4. Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D Echo Views

    Stojanovski, D., Hermida Nunez, U., Muffoletto, M., Lamata de la Orden, P., Beqiri, A. & Gomez Herrero, A., 15 Sep 2022, Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo views. Springer International Publishing

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

  5. Understanding and Improving Risk Assessment After Myocardial Infarction Using Automated Left Ventricular Shape Analysis

    Corral Acero, J., Schuster, A., Zacur, E., Lange, T., Stiermaier, T., Backhaus, S. J., Thiele, H., Bueno-Orovio, A., Lamata, P., Eitel, I. & Grau, V., Sep 2022, In: JACC: Cardiovascular Imaging. 15, 9, p. 1563-1574 12 p.

    Research output: Contribution to journalArticlepeer-review

  6. Machine Learning Evaluation of LV Outflow Obstruction in Hypertrophic Cardiomyopathy Using Three-Chamber Cardiovascular Magnetic Resonance

    Sahota, M., Saraskani, S., Xu, H., Li, L., Majeed, A. W., Hermida Nunez, U., Neubauer, S., Desai, M. Y., Weintraub, W., Desvigne-Nickens, P., Schulz-Menger, J., Kwong, R. Y., Kramer, C. M., Young, A. & Lamata de la Orden, P., 30 Aug 2022, (Accepted/In press) In: INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING.

    Research output: Contribution to journalArticlepeer-review

  7. Editorial: Translating artificial intelligence into clinical use within cardiology

    Leeson, P., Nanayakkara, S. & Lamata, P., 4 Aug 2022, In: Frontiers in Cardiovascular Medicine. 9, 995234.

    Research output: Contribution to journalEditorialpeer-review

  8. Le Cœur en Sabot: shape associations with adverse events in repaired tetralogy of Fallot

    Mîra, A., Lamata, P., Pushparajah, K., Abraham, G., Mauger, C. A., McCulloch, A. D., Omens, J. H., Bissell, M. M., Blair, Z., Huffaker, T., Tandon, A., Engelhardt, S., Koehler, S., Pickardt, T., Beerbaum, P., Sarikouch, S., Latus, H., Greil, G., Young, A. A. & Hussain, T., 4 Aug 2022, In: Journal of Cardiovascular Magnetic Resonance. 24, 1, 46.

    Research output: Contribution to journalArticlepeer-review

  9. Reshaping the preterm heart: Shifting cardiac renin-angiotensin system towards cardioprotection in rats exposed to neonatal high-oxygen stress

    Bertagnolli, M., Dartora, D. R., Lamata, P., Zacur, E., Mai Vo, T-A., He, Y., Beauchamp, L., Lewandowski, A. J., Cloutier, A., Sutherland, M. R., Santos, R. A. S. & Nuyt, A. M., 1 Aug 2022, In: Hypertension. 79, 8, p. 1789-1803 15 p.

    Research output: Contribution to journalArticlepeer-review

  10. Creation of Personalised Rib Prostheses Using a Statistical Shape Model and 3D Printing: Case Report

    Pontiki, A., Lampridis, S., De Angelis, S., Lamata de la Orden, P., Housden, J., Benedetti, G., Bille, A. & Rhode, K., 26 Jul 2022, (Accepted/In press) In: Frontiers in Surgery.

    Research output: Contribution to journalArticlepeer-review

  11. Refining and simplifying decision models - tackling the 'one size fits all' challenge

    Lamata, P., 18 May 2022, In: Cardiovascular Research. 118, 9, p. 2037-2038 2 p.

    Research output: Contribution to journalEditorialpeer-review

  12. Anatomy of a Transcatheter Mitral Valve Service

    Gill, H., Adams, H. S. L., Chehab, O., Allen, C., Hancock, J., Lamata, P., Lucchese, G., Prendergast, B., Redwood, S., Patterson, T. & Rajani, R., 15 Apr 2022, In: Frontiers in Cardiovascular Medicine. 9, 862471.

    Research output: Contribution to journalArticlepeer-review

  13. Unleashing the prognostic value of atrial shape in atrial fibrillation

    Lamata, P., 17 Dec 2021, (E-pub ahead of print) In: Heart Rhythm O2. 2, 6Part A, p. 633-634

    Research output: Contribution to journalEditorialpeer-review

  14. Altered Aortic Hemodynamics and Relative Pressure in Patients with Dilated Cardiomyopathy

    Marlevi, D., Mariscal-Harana, J., Burris, N. S., Sotelo, J., Ruijsink, B., Hadjicharalambous, M., Asner, L., Sammut, E., Chabiniok, R., Uribe, S., Winter, R., Lamata, P., Alastruey, J. & Nordsletten, D., 9 Dec 2021, (E-pub ahead of print) In: Journal of cardiovascular translational research.

    Research output: Contribution to journalArticlepeer-review

  15. A three-dimensional atlas of child’s cardiac anatomy and the unique morphological alterations associated with obesity

    Marciniak, M., van Deutekom, A., Toemen, L., Lewandowski, A. J., Gaillard, R., Young, A., Jaddoe, V. & Lamata de la Orden, P., 5 Dec 2021, (Accepted/In press) In: European Heart Journal-Cardiovascular Imaging.

    Research output: Contribution to journalArticlepeer-review

  16. Left Ventricular Shape Predicts Arrhythmic Risk in Fibrotic Dilated Cardiomyopathy

    Balaban, G., Halliday, B. P., Hammersley, D., Rinaldi, C. A., Prasad, S. K., Bishop, M. & Lamata de la Orden, P., 12 Nov 2021, In: EUROPACE.

    Research output: Contribution to journalArticlepeer-review

  17. Generating Synthetic Labeled Data from Existing Anatomical Models: An Example with Echocardiography Segmentation

    Gilbert, A., Marciniak, M., Rodero, C., Lamata, P., Samset, E. & McLeod, K., 1 Oct 2021, In: IEEE Transactions on Medical Imaging. 40, 10, p. 2783-2794 12 p.

    Research output: Contribution to journalArticlepeer-review

  18. Clinically-Driven Virtual Patient Cohorts Generation: An Application to Aorta

    Romero, P., Lozano, M., Martínez-Gil, F., Serra, D., Sebastián, R., Lamata, P. & García-Fernández, I., 1 Sep 2021, In: Frontiers in Physiology. 12, 713118.

    Research output: Contribution to journalArticlepeer-review

  19. Towards Patient-Specific Prediction of Conduction Abnormalities Induced by Transcatheter Aortic Valve Implantation: a Combined Mechanistic Modelling and Machine Learning Approach

    Galli, V., Loncaric, F., Rocatello, G., Astudillo, P., Sanchis, L., Regueiro, A., De Backer, O., Swaans, M., Bosmans, J., Lamata de la Orden, P., Sitges, M., De Jaegere, P. & Mortier, P., 8 Jul 2021, (Accepted/In press) In: European Heart Journal Digital Health.

    Research output: Contribution to journalArticlepeer-review

  20. Generating Synthetic Labeled Data from Existing Mechanical Models: An Example with Echocardiography Segmentation

    Gilbert, A., Marciniak, M., Rodero Gomez, C., Lamata de la Orden, P., Samset, E. & McLeod, K., 12 Jan 2021, (Accepted/In press) In: Ieee Transactions on Medical Imaging.

    Research output: Contribution to journalArticlepeer-review

  21. Septal Curvature as a Robust and Reproducible Marker for Basal Septal Hypertrophy: Curvature in Basal Septal Hypertrophy

    Marciniak, M., Gilbert, A., Loncaric, F., Fernandes, J., Bijnens, B., Sitges, M., King, A., Crispi, F. & Lamata de la Orden, P., 12 Jan 2021, (Accepted/In press) In: Journal of Hypertension.

    Research output: Contribution to journalArticlepeer-review

  22. A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

    Xiong, Z., Xia, Q., Hu, Z., Huang, N., Bian, C., Zheng, Y., Vesal, S., Ravikumar, N., Maier, A., Yang, X., Heng, P. A., Ni, D., Li, C., Tong, Q., Si, W., Puybareau, E., Khoudli, Y., Géraud, T., Chen, C., Bai, W., & 24 othersRueckert, D., Xu, L., Zhuang, X., Luo, X., Jia, S., Sermesant, M., Liu, Y., Wang, K., Borra, D., Masci, A., Corsi, C., de Vente, C., Veta, M., Karim, R., Preetha, C. J., Engelhardt, S., Qiao, M., Wang, Y., Tao, Q., Nuñez-Garcia, M., Camara, O., Savioli, N., Lamata, P. & Zhao, J., Jan 2021, In: Medical Image Analysis. 67, 101832.

    Research output: Contribution to journalArticlepeer-review

  23. Evaluation of aortic stenosis: From Bernoulli and Doppler to Navier-Stokes

    Gill, H., Fernandes, J., Chehab, O., Prendergast, B., Redwood, S., Chiribiri, A., Nordsletten, D., Rajani, R. & Lamata, P., 2021, (Accepted/In press) In: TRENDS IN CARDIOVASCULAR MEDICINE.

    Research output: Contribution to journalReview articlepeer-review

  24. Linking statistical shape models and simulated function in the healthy adult human heart

    Rodero, C., Strocchi, M., Marciniak, M., Longobardi, S., Whitaker, J., O’Neill, M. D., Gillette, K., Augustin, C. M., Plank, G., Vigmond, E. J., Lamata de la Orden, P. & Niederer, S., 2021, (Accepted/In press) In: PLoS Computational Biology.

    Research output: Contribution to journalArticlepeer-review

  25. The 'Digital Twin' to enable the vision of precision cardiology

    Corral-Acero, J., Margara, F., Marciniak, M., Rodero, C., Loncaric, F., Feng, Y., Gilbert, A., Fernandes, J. F., Bukhari, H. A., Wajdan, A., Martinez, M. V., Santos, M. S., Shamohammdi, M., Luo, H., Westphal, P., Leeson, P., DiAchille, P., Gurev, V., Mayr, M., Geris, L., & 19 othersPathmanathan, P., Morrison, T., Cornelussen, R., Prinzen, F., Delhaas, T., Doltra, A., Sitges, M., Vigmond, E. J., Zacur, E., Grau, V., Rodriguez, B., Remme, E. W., Niederer, S., Mortier, P., McLeod, K., Potse, M., Pueyo, E., Bueno-Orovio, A. & Lamata, P., 21 Dec 2020, In: European Heart Journal. 41, 48, p. 4556-4564 9 p.

    Research output: Contribution to journalArticlepeer-review

  26. Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy

    Marlevi, D., Balmus, M., Hessenthaler, A., Viola, F., Fovargue, D., De Vecchi, A., Lamata de la Orden, P., Burris, N., Pagani, F., Engvall, J., Edelman, E. R., Ebbers, T. & Nordsletten, D., 7 Dec 2020, (Accepted/In press) In: Medical Image Analysis.

    Research output: Contribution to journalArticlepeer-review

  27. Multimodality Imaging Demonstrates Reduced Right-Ventricular Function Independent of Pulmonary Physiology in Moderately Preterm-Born Adults

    Mohamed, A., Lamata, P., Williamson, W., Alsharqi, M., Tan, C. M. J., Burchert, H., Huckstep, O. J., Suriano, K., Francis, J. M., Pelado, J. L., Monteiro, C., Neubauer, S., Levy, P. T., Leeson, P. & Lewandowski, A. J., Sep 2020, In: JACC. Cardiovascular imaging. 13, 9, p. 2046-2048 3 p.

    Research output: Contribution to journalLetterpeer-review

  28. Variations in Cardiovascular Structure, Function, and Geometry in Midlife Associated with a History of Hypertensive Pregnancy

    Boardman, H., Lamata, P., Lazdam, M., Verburg, A., Siepmann, T., Upton, R., Bilderbeck, A., Dore, R., Smedley, C., Kenworthy, Y., Sverrisdottir, Y., Aye, C. Y. L., Williamson, W., Huckstep, O., Francis, J. M., Neubauer, S., Lewandowski, A. J. & Leeson, P., 1 Jun 2020, In: Hypertension. 75, 6, p. 1542-1550 9 p.

    Research output: Contribution to journalArticlepeer-review

  29. Prenatal and Postnatal Cardiac Development in Offspring of Hypertensive Pregnancies

    Aye, C. Y. L., Lewandowski, A. J., Lamata, P., Upton, R., Davis, E., Ohuma, E. O., Kenworthy, Y., Boardman, H., Frost, A. L., Adwani, S., McCormick, K. & Leeson, P., 5 May 2020, In: Journal of the American Heart Association. 9, 9, p. e014586

    Research output: Contribution to journalArticlepeer-review

  30. Basal Ventricular Septal Hypertrophy in Systemic Hypertension

    Loncaric, F., Nunno, L., Mimbrero, M., Marciniak, M., Fernandes, J. F., Tirapu, L., Fabijanovic, D., Sanchis, L., Doltra, A., Cikes, M., Lamata, P., Bijnens, B. & Sitges, M., 1 May 2020, In: American Journal of Cardiology. 125, 9, p. 1339-1346 8 p.

    Research output: Contribution to journalArticlepeer-review

  31. Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy

    Marlevi, D., Ha, H., Dillon-Murphy, D., Fernandes, J. F., Fovargue, D., Colarieti-Tosti, M., Larsson, M., Lamata, P., Figueroa, C. A., Ebbers, T. & Nordsletten, D. A., 1 Feb 2020, In: Medical Image Analysis. 60, 101627.

    Research output: Contribution to journalArticlepeer-review

  32. Distribution of myocardial work in arterial hypertension: insights from non-invasive left ventricular pressure-strain relations

    Loncaric, F., Marciniak, M., Nunno, L., Mimbrero, M., Fernandes, J. F., Fabijanovic, D., Sanchis, L., Doltra, A., Montserrat, S., Cikes, M., Lamata, P., Bijnens, B. & Sitges, M., 1 Jan 2020, (Accepted/In press) In: INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING.

    Research output: Contribution to journalArticlepeer-review

  33. Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation

    Corral Acero, J., Xu, H., Zacur, E., Schneider, J. E., Lamata, P., Bueno-Orovio, A. & Grau, V., 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. 384-394 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

  34. Manufacturing of Ultrasound- and MRI-Compatible Aortic Valves Using 3D Printing for Analysis and Simulation

    Wang, S., Gill, H., Wan, W., Tricker, H., Fernandes, J. F., Noh, Y., Uribe, S., Urbina, J., Sotelo, J., Rajani, R., Lamata, P. & Rhode, K., 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. 12-21 10 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

  35. Avoiding big data pitfalls

    Lamata, P., 2020, In: Heart and Metabolism. 82, p. 33-35 3 p.

    Research output: Contribution to journalArticlepeer-review

  36. Real-time diameter of the fetal aorta from ultrasound

    Savioli, N., Grisan, E., Visentin, S., Cosmi, E., Montana, G. & Lamata, P., 18 Dec 2019, (E-pub ahead of print) In: NEURAL COMPUTING AND APPLICATIONS.

    Research output: Contribution to journalArticlepeer-review

  37. Sex-dependent QRS guidelines for Cardiac Resynchronization Therapy using Computer Model Predictions

    Lee, A. W. C., O'Regan, D. P., Gould, J. S., Sidhu, B. S., Sieniewicz, B., Plank, G., Warriner, D. R., Lamata, P., Rinaldi, C. A. & Niederer, S. A., 17 Dec 2019, In: Biophysical Journal. 117, 12, p. 2375-2381

    Research output: Contribution to journalArticlepeer-review

  38. Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort

    Balaban, G., Halliday, B. P., Bai, W., Porter, B., Malvuccio, C., Lamata, P., Rinaldi, C. A., Plank, G., Rueckert, D., Prasad, S. K. & Bishop, M. J., 28 Oct 2019, In: PLoS Computational Biology. 15, 10, e1007421.

    Research output: Contribution to journalArticlepeer-review

  39. Optimal Control of SonoVue Microbubbles to Estimate Hydrostatic Pressure

    Nio, Q. X. A., Faraci, A., Christensen-Jeffries, K., Raymond, J. L., Monaghan, M., Fuster, D., Forsberg, F., Eckersley, R. & Lamata, P., 21 Oct 2019, (E-pub ahead of print) In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

    Research output: Contribution to journalArticlepeer-review

  40. The Effects of Hydrostatic Pressure on the Subharmonic Response of SonoVue and Sonazoid

    Gupta, I., Fuster, D., Eckersley, R. J., Lamata, P., Forsberg, F., Nio, A. Q. X., Faraci, A., Torkzaban, M., Christensen-Jeffries, K., Nam, K., Raymond, J. L., Wallace, K. & Monaghan, M. J., 1 Oct 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE Computer Society, Vol. 2019-October. p. 1349-1352 4 p. 8925812

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

  41. SMOD - Data Augmentation Based on Statistical Models of Deformation to Enhance Segmentation in 2D Cine Cardiac MRI

    Corral Acero, J., Zacur, E., Xu, H., Ariga, R., Bueno-Orovio, A., Lamata, P. & Grau, V., 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. 361-369 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

  42. Solution to the Unknown Boundary Tractions in Myocardial Material Parameter Estimations

    Nasopoulou, A., Nordsletten, D. A., Niederer, S. A. & Lamata, P., 30 May 2019, (E-pub ahead of print) Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings. Ozenne, V., Vigmond, E., Coudière, Y. & Zemzemi, N. (eds.). p. 313-322 10 p. (Lecture Notes in Computer Science; vol. 11504).

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

  43. V-FCNN: Volumetric Fully Convolution Neural Network for Automatic Atrial Segmentation

    Savioli, N., Montana, G. & Lamata de la Orden, P., 14 Feb 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. Young, A., Rhode, K., Sermesant, M., McLeod, K., Pop, M., Mansi, T., Li, S. & Zhao, J. (eds.). Vol. 11395. p. 273-281 9 p. (Lecture Notes in Computer Science).

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

  44. Estimation of Cardiovascular Relative Pressure Using Virtual Work-Energy

    Marlevi, D., Ruijsink, B., Balmus, M., Dillon-Murphy, D., Fovargue, D., Pushparajah, K., Bertoglio, C., Colarieti-Tosti, M., Larsson, M., Lamata, P., Figueroa, C. A., Razavi, R. & Nordsletten, D. A., 4 Feb 2019, In: Scientific Reports. 9, 1, 16 p., 1375.

    Research output: Contribution to journalArticlepeer-review

  45. 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 proceedingConference paperpeer-review

  46. Temporal changes within mechanical dyssynchrony and rotational mechanics in Takotsubo syndrome: A cardiovascular magnetic resonance imaging study

    Backhaus, S. J., Stiermaier, T., Lange, T., Chiribiri, A., Lamata, P., Uhlig, J., Kowallick, J., Raaz, U., Villa, A., Lotz, J., Hasenfuß, G., Thiele, H., Eitel, I. & Schuster, A., 15 Dec 2018, In: International Journal of Cardiology.

    Research output: Contribution to journalArticlepeer-review

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