King's College London

Research portal

Dr Amedeo Chiribiri

  1. Deep‐Learning‐Based Preprocessing for Quantitative Myocardial Perfusion MRI

    Scannell, C. M., Veta, M., Villa, A. D. M., Sammut, E. C., Lee, J., Breeuwer, M. & Chiribiri, A., 1 Jun 2020, In : Journal of Magnetic Resonance Imaging. 51, 6, p. 1689-1696 8 p.

    Research output: Contribution to journalArticle

  2. Pixel-wise assessment of cardiovascular magnetic resonance first-pass perfusion using a cardiac phantom mimicking transmural myocardial perfusion gradients

    Milidonis, X., Nazir, M. S., Schneider, T., Capstick, M., Drost, S., Kok, G., Pelevic, N., Poelma, C., Schaeffter, T. & Chiribiri, A., 19 May 2020, In : Magnetic Resonance in Medicine.

    Research output: Contribution to journalArticle

  3. Accepted/In press
  4. Accepted/In press
  5. Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia

    Quantitative Cardiac Imaging Study Group, 24 Feb 2020, In : Nature Reviews Cardiology.

    Research output: Contribution to journalReview article

  6. Hierarchical Bayesian myocardial perfusion quantification

    Scannell, C. M., Chiribiri, A., Villa, A., Breeuwer, M. & Lee, J., 1 Feb 2020, In : Medical Image Analysis. 60, 101611.

    Research output: Contribution to journalArticle

  7. Atrial mechanics and their prognostic impact in Takotsubo syndrome: a cardiovascular magnetic resonance imaging study

    Backhaus, S. J., Stiermaier, T., Lange, T., Chiribiri, A., Uhlig, J., Freund, A., Kowallick, J. T., Gertz, R. J., Bigalke, B., Villa, A., Lotz, J., Hasenfuß, G., Thiele, H., Eitel, I. & Schuster, A., 1 Sep 2019, In : European Heart Journal-Cardiovascular Imaging. 20, 9, p. 1059-1069 11 p.

    Research output: Contribution to journalArticle

  8. Danish study of Non-Invasive testing in Coronary Artery Disease 2 (Dan-NICAD 2): Study design for a controlled study of diagnostic accuracy

    Rasmussen, L. D., Winther, S., Westra, J., Isaksen, C., Ejlersen, J. A., Brix, L., Kirk, J., Urbonaviciene, G., Søndergaard, H. M., Hammid, O., Schmidt, S. E., Knudsen, L. L., Madsen, L. H., Frost, L., Petersen, S. E., Gormsen, L. C., Christiansen, E. H., Eftekhari, A., Holm, N. R., Nyegaard, M. & 3 others, Chiribiri, A., Bøtker, H. E. & Böttcher, M., 1 Sep 2019, In : American Heart Journal. 215, p. 114-128 15 p.

    Research output: Contribution to journalArticle

  9. Coronary Microcirculation in Aortic Stenosis: A Physiological Hornets' Nest

    McConkey, H. Z. R., Marber, M., Chiribiri, A., Pibarot, P., Redwood, S. R. & Prendergast, B. D., 16 Aug 2019, In : Circulation. Cardiovascular interventions. 12, 8, p. e007547 e007547.

    Research output: Contribution to journalReview article

  10. Robust non-rigid motion compensation of free-breathing myocardial perfusion MRI data

    Scannell, C. M., Villa, A., Lee, C. J., Breeuwer, M. & Chiribiri, A., 1 Aug 2019, In : IEEE Transactions on Medical Imaging. 38, 8, p. 1812-1820 9 p., 8632981.

    Research output: Contribution to journalArticle

  11. Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI

    Scannell, C. M., van den Bosch, P., Chiribiri, A., Lee, C. J., Breeuwer, M. & Veta, M., 29 Jul 2019, Medical Imaging with Deep Learning: MIDL 2019.

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  12. Large-scale bayesian spatial-temporal regression with application to cardiac MR-perfusion imaging

    Lehnert, J., Kolbitsch, C., Wübbeler, G., Chiribiri, A., Schaeffter, T. & Elster, C., 1 Jan 2019, In : SIAM Journal on Imaging Sciences. 12, 4, p. 2035-2062 28 p.

    Research output: Contribution to journalArticle

  13. Model-Based Reconstruction for Highly Accelerated First-Pass Perfusion Cardiac MRI

    Correia, T., Schneider, T. & Chiribiri, 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. 514-522 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11765 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  14. 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 journalArticle

  15. Pixel-wise quantification of myocardial perfusion using spatial Tikhonov regularization

    Lehnert, J., Wübbeler, G., Kolbitsch, C., Chiribiri, A., Coquelin, L., Ebrard, G., Smith, N., Schaeffter, T. & Elster, C., 29 Oct 2018, In : Physics in Medicine and Biology. 63, 21, p. 215017

    Research output: Contribution to journalArticle

  16. Right ventricular strain assessment by cardiovascular magnetic resonance myocardial feature tracking allows optimized risk stratification in Takotsubo syndrome

    Stiermaier, T., Lange, T., Chiribiri, A., Möller, C., Graf, T., Raaz, U., Villa, A., Kowallick, J. T., Lotz, J., Hasenfuß, G., Thiele, H., Schuster, A. & Eitel, I., Aug 2018, In : PLoS ONE. 13, 8, e0202146.

    Research output: Contribution to journalArticle

  17. Left ventricular myocardial deformation in Takotsubo syndrome: a cardiovascular magnetic resonance myocardial feature tracking study

    Stiermaier, T., Lange, T., Chiribiri, A., Möller, C., Graf, T., Villnow, C., Raaz, U., Villa, A., Kowallick, J. T., Lotz, J., Hasenfuβ, G., Thiele, H., Schuster, A. & Eitel, I., 7 Jun 2018, In : European Radiology. p. 1-11 11 p.

    Research output: Contribution to journalArticle

  18. Cardiac perfusion MRI

    Chiribiri, A., 21 Feb 2018, Quantification of Biophysical Parameters in Medical Imaging. Springer International Publishing, p. 471-485 15 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  19. Rationale and design of the Coronary Microvascular Angina Cardiac Magnetic Resonance Imaging (CorCMR) diagnostic study: the CorMicA CMR sub-study

    Corcoran, D., Ford, T. J., Hsu, L-Y., Chiribiri, A., Orchard, V., Mangion, K., McEntegart, M., Rocchiccioli, P., Watkins, S., Good, R., Brooksbank, K., Padmanabhan, S., Sattar, N., McConnachie, A., Oldroyd, K. G., Touyz, R. M., Arai, A. & Berry, C., 2018, In : Open Heart. 5, 2, p. e000924

    Research output: Contribution to journalArticle

  20. Prognostic Value of Quantitative Stress Perfusion Cardiac Magnetic Resonance

    Sammut, E. C., Villa, A. D. M., Di Giovine, G., Dancy, L., Bosio, F., Gibbs, T., Jeyabraba, S., Schwenke, S., Williams, S. E., Marber, M., Alfakih, K., Ismail, T. F., Razavi, R. & Chiribiri, A., 15 Nov 2017, In : JACC Cardiovascular Imaging.

    Research output: Contribution to journalArticle

  21. Correlation of Fractional Flow Reserve with Ischemic Burden Measured by Cardiovascular Magnetic Resonance Perfusion Imaging

    Hussain, S. T., Paul, M., Morton, G., Schuster, A., Chiribiri, A., Perera, D. & Nagel, E., 4 Sep 2017, In : American Journal of Cardiology.

    Research output: Contribution to journalArticle

  22. Dark-blood late gadolinium enhancement without additional magnetization preparation

    Holtackers, R. J., Chiribiri, A., Schneider, T., Higgins, D. M. & Botnar, R. M., 23 Aug 2017, In : Journal of Cardiovascular Magnetic Resonance. 19, 1, p. 64

    Research output: Contribution to journalArticle

  23. Accepted/In press

    Feasibility of simultaneous PET-MR perfusion using a novel cardiac perfusion phantom

    O'Doherty, J., Sammut, E., Schleyer, P., Stirling, J., Nazir, M. S., Marsden, P. K. & Chiribiri, A., 28 May 2017, (Accepted/In press) In : European Journal of Hybrid Imaging. 1, 1, EJHI-S-17-00015.

    Research output: Contribution to journalArticle

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