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Mrs Sitali Mushemi-Blake

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  1. A machine learning approach for the prediction of pulmonary hypertension

    Leha, A., Hellenkamp, K., Unsöld, B., Mushemi-Blake, S., Shah, A. M., Hasenfuß, G. & Seidler, T., 1 Jan 2019, In: PLoS ONE. 14, 10, e0224453.

    Research output: Contribution to journal › Article › peer-review

  2. ECHOCARDIOGRAPHIC ESTIMATION OF MEAN PULMONARY ARTERY PRESSURE: A COMPARISON OF DIFFERENT APPROACHES TO PREDICT PULMONARY HYPERTENSION

    Seidler, T., Hellenkamp, K., Unsöld, B., Mushemi-Blake, S., Shah, A. & Hasenfuss, G., 21 Mar 2017, In: Journal of the American College of Cardiology. 69, 11, Supplement, p. 1889 1 p.

    Research output: Contribution to journal › Article › peer-review

  3. Physiological reduction in left ventricular contractile function in healthy postpartum women: Potential overlap with peripartum cardiomyopathy

    Khan, S. G., Melikian, N., Mushemi-Blake, S., Dennes, W., Jouhra, F., Monaghan, M. & Shah, A. M., 1 Feb 2016, In: PLoS ONE. 11, 2, e0147074.

    Research output: Contribution to journal › Article › peer-review

  4. Pulmonary haemodynamics in sickle cell disease are driven predominantly by a high-output state rather than elevated pulmonary vascular resistance: A prospective 3-dimensional echocardiography/Doppler study

    Mushemi-Blake, S., Melikian, N., Drasar, E., Bhan, A., Lunt, A., Desai, S. R., Greenough, A., Monaghan, M. J., Thein, S. L. & Shah, A. M., 13 Aug 2015, In: PL o S One . 10, 8, e0135472.

    Research output: Contribution to journal › Article › peer-review

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