Predicting Heart Failure. Группа авторов

Deep learning for automated exclusion of cardiac CT examinations negative for coronary artery calcium. European Journal of Radiology 129. https://doi.org/10.1016/j.ejrad.2020.109114.

      33 33 Van Assen, M., Martin, S.S., Varga-Szemes, A., Rapaka, S., Cimen, S., Sharma, P., Sahbaee, P., De Cecco, C.N., Vliegenthart, R., Leonard, T.J., Burt, J.R., and Schoepf, U.J. (2021). Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: A validation study. European Journal of Radiology 134. https://doi.org/10.1016/j.ejrad.2020.109428.

      34 34 Zhang, N., Yang, G., Zhang, W., Wang, W., Zhou, Z., Zhang, H., Xu, L., and Chen, Y. (2021). Fully automatic framework for comprehensive coronary artery calcium scores analysis on non-contrast cardiac-gated CT scan: Total and vessel-specific quantifications. European Journal of Radiology 134. https://doi.org/10.1016/j.ejrad.2020.109420.

      35 35 Dekker, M., Waissi, F., Bank, I.E.M., Isgum, I., Scholtens, A.M., Velthuis, B.K., Pasterkamp, G., De Winter, R.J., Mosterd, A., Timmers, L., and De Kleijn, D.P.V. (2021). The prognostic value of automated coronary calcium derived by a deep learning approach on non-ECG gated CT images from 82Rb-PET/CT myocardial perfusion imaging. International Journal of Cardiology 329. https://doi.org/10.1016/j.ijcard.2020.12.079.