Search Results - "Suinesiaputra, A."

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  1. 1

    Automated Detection of Regional Wall Motion Abnormalities Based on a Statistical Model Applied to Multislice Short-Axis Cardiac MR Images by Suinesiaputra, A., Frangi, A.F., Kaandorp, T., Lamb, H.J., Bax, J.J., Reiber, J., Lelieveldt, B.

    Published in IEEE transactions on medical imaging (01-04-2009)
    “…In this paper, a statistical shape analysis method for myocardial contraction is presented that was built to detect and locate regional wall motion…”
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    Journal Article
  2. 2

    4D modelling for rapid assessment of biventricular function in congenital heart disease by Gilbert, K., Pontre, B., Occleshaw, C. J., Cowan, B. R., Suinesiaputra, A., Young, A. A.

    “…Although more patients with congenital heart disease (CHD) are now living longer due to better surgical interventions, they require regular imaging to monitor…”
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    Journal Article
  3. 3

    Evaluation of 2D and 3D glove input applied to medical image analysis by Zudilova-Seinstra, E.V., de Koning, P.J.H., Suinesiaputra, A., van Schooten, B.W., van der Geest, R.J., Reiber, J.H.C., Sloot, P.M.A.

    “…We describe a series of experiments that compared 2D/3D input methods for selection and positioning tasks related to medical image analysis. For our study, we…”
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    Journal Article
  4. 4

    Interactive navigation of segmented MR angiograms using simultaneous curved planar and volume visualizations by van Schooten, B. W., van Dijk, E. M. A. G., Suinesiaputra, A., Reiber, J. H. C.

    “…Purpose Interactive visualization is required to inspect and monitor the automatic segmentation of vessels derived from contrast-enhanced magnetic resonance…”
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    Journal Article
  5. 5

    An Iterative Diffeomorphic Algorithm for Registration of Subdivision Surfaces: Application to Congenital Heart Disease by Mauger, C., Gilbert, K., Suinesiaputra, A., Pontre, B., Omens, J., McCulloch, A., Young, A.

    “…In this paper, we present a new diffeomorphic registration algorithm for the registration of 3D models to 3D points. A biventricular template is iteratively…”
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    Conference Proceeding Journal Article
  6. 6

    Distal ascending aortic dilatation portends a near 2-fold greater risk of cardiovascular mortality than proximal enlargement: results from 120,000 patients in a nationwide echocardiographic database by Nadel, J, Paratz, E, Humphries, J, Suinesiaputra, A, Young, A, Botnar, R, Celermajer, D, Strange, G, Playford, D

    Published in European heart journal (28-10-2024)
    “…Abstract Background The management of thoracic aortic dilatation is clinically challenging and acute aortic dissection (AD) is under-recognised as a primary…”
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    Journal Article
  7. 7

    Automatic prediction of myocardial contractility improvement in stress MRI using shape morphometrics with independent component analysis by Suinesiaputra, A, Frangi, A F, Lamb, H J, Reiber, J H C, Lelieveldt, B P F

    “…An important assessment in patients with ischemic heart disease is whether myocardial contractility may improve after treatment. The prediction of myocardial…”
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    Journal Article
  8. 8

    Hybrid Artificial Intelligence Outcome Prediction Using Feature Extraction from Stress Perfusion Cardiac Magnetic Resonance Images and Electronic Health Records by Alskaf, E, Suinesiaputra, A, Scannell, C M, Razavi, R, Ourselin, S, Young, A, Perera, D, Chiribiri, A

    Published in European heart journal (09-11-2023)
    “…Abstract Background Prediction of mortality and cardiovascular (CVS) events in coronary artery disease (CAD) has been conventionally achieved using clinical…”
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    Journal Article
  9. 9

    Machine learning outcome prediction using stress perfusion cardiac magnetic resonance and electronic health records by Alskaf, E, Frey, S M, Scannell, C M, Suinesiaputra, A, Vilic, D, Dinu, V, Young, A, Chiribiri, A

    “…Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Wellcome Trust. Background Stress…”
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    Journal Article
  10. 10

    Concurrent left ventricular myocardial diffuse fibrosis and left atrial dysfunction strongly predicts incident heart failure and all-cause mortality by Aung, N, Wong, M Y Z, Vargas, J D, Naderi, H, Sanghvi, M M, Raisi-Estabragh, Z, Suinesiaputra, A, Bonazzola, R, Attar, R, Ravikumar, N, Hann, E, Neubauer, S, Piechnik, S K, Frangi, A J, Petersen, S E

    Published in European heart journal (25-01-2023)
    “…Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): British Heart Foundation Academy of Medical Sciences Background…”
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    Journal Article
  11. 11

    The association between native myocardial T1 relaxation times and left atrial phasic structure and function: the UK Biobank Imaging Enhancement study by Wong, M, Vargas, J D, Naderi, H, Sanghvi, M, Raisi-Estabragh, Z, Suinesiaputra, A, Bonazzola, R, Attar, R, Ravikumar, N, Hann, E, Piechnik, S K, Neubauer, S, Frangi, A F, Petersen, S E, Aung, N

    Published in European heart journal (03-10-2022)
    “…Abstract Introduction Left ventricular (LV) myocardial fibrosis is posited to result in left atrial (LA) changes via LV remodelling and diastolic dysfunction,…”
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    Journal Article
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  15. 15

    Dense Multiscale Motion Extraction from Cardiac Cine MR Tagging using HARP Technology by Florack, L., van Assen, H., Suinesiaputra, A.

    “…We propose an operational method to extract the left ventricle (LV) systole dynamics using harmonic phase (HARP) images extracted from tagged cardiac MR…”
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    Conference Proceeding
  16. 16

    Exploring 2D/3D Input Techniques for Medical Image Analysis by Zudilova-Seinstra, Elena, Sloot, Peter, de Koning, Patrick, Suinesiaputra, Avan, van der Geest, Rob, Reiber, Johan

    “…We describe a series of experiments that compared the 2D and 3D input methods for selection and positioning tasks related to medical image analysis. For this…”
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    Conference Proceeding