Items where authors include "Uthoff, J."

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Number of items: 5.

Article

Alabed, S. orcid.org/0000-0002-9960-7587, Uthoff, J., Zhou, S. et al. (15 more authors) (2022) Machine learning cardiac-MRI features predict mortality in newly diagnosed pulmonary arterial hypertension. European Heart Journal - Digital Health, 3 (2). pp. 265-275. ISSN 2634-3916

Alandejani, F., Alabed, S. orcid.org/0000-0002-9960-7587, Garg, P. et al. (23 more authors) (2022) Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements. Journal of Cardiovascular Magnetic Resonance, 24 (1). 25.

Swift, A.J. orcid.org/0000-0002-8772-409X, Lu, H. orcid.org/0000-0002-0349-2181, Uthoff, J. et al. (11 more authors) (2021) A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis. European Heart Journal - Cardiovascular Imaging, 22 (2). pp. 236-245. ISSN 2047-2404

Proceedings Paper

Alandejani, F., Alabed, S. orcid.org/0000-0002-9960-7587, Garg, P. et al. (22 more authors) (2022) Training and clinical validation of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements. In: American Journal of Respiratory and Critical Care Medicine. American Thoracic Society 2022 International Conference, May 13-18, 2022 - San Francisco, CA, 13-18 May 2022, American Thoracic Society 2022 International Conference. American Thoracic Society , a2285-a2285.

Uthoff, J., Alabed, S., Swift, A.J. et al. (1 more author) (2020) Geodesically smoothed tensor features for pulmonary hypertension prognosis using the heart and surrounding tissues. In: Martel, A.L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M.A., Zhou, S.K., Racoceanu, D. and Joskowicz, L., (eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. 23rd International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI 2020), 04-08 Oct 2020, Lima, Peru. Springer Nature Switzerland , pp. 253-262. ISBN 9783030597122

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