LUONGO, Giorgio, AZZOLIN, Luca, SCHULER, Steffen, RIVOLTA, Massimo W., ALMEIDA, Tiago P., MARTÍNEZ, Juan P., SORIANO, Diogo C., LUIK, Armin, MÜLLER-EDENBORN, Björn, JADIDI, Amir S., DÖSSEL, Olaf, SASSI, Roberto, LAGUNA, Pablo und LOEWE, Axel, 2021. Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG. Freiburg: Universität.

Luongo, G., Azzolin, L., Schuler, S., Rivolta, M.W., Almeida, T.P., Martínez, J.P., Soriano, D.C., Luik, A., Müller-Edenborn, B., Jadidi, A.S., Dössel, O., Sassi, R., Laguna, P., Loewe, A., 2021. Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG. Universität, Freiburg. https://doi.org/10.1016/j.cvdhj.2021.03.002

Luongo, G., Azzolin, L., Schuler, S., Rivolta, M. W., Almeida, T. P., Martínez, J. P., Soriano, D. C., Luik, A., Müller-Edenborn, B., Jadidi, A. S., Dössel, O., Sassi, R., Laguna, P., & Loewe, A. (ca. 2021). Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG [Cd]. Universität. https://doi.org/10.1016/j.cvdhj.2021.03.002

Luongo G, Azzolin L, Schuler S, Rivolta MW, Almeida TP, Martínez JP, Soriano DC, Luik A, Müller-Edenborn B, Jadidi AS, Dössel O, Sassi R, Laguna P, Loewe A (2021) Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG. Universität, Freiburg

Luongo, Giorgio/ Azzolin, Luca/ Schuler, Steffen/ Rivolta, Massimo W./ Almeida, Tiago P./ Martínez, Juan P./ Soriano, Diogo C./ Luik, Armin/ Müller-Edenborn, Björn/ Jadidi, Amir S./ Dössel, Olaf/ Sassi, Roberto/ Laguna, Pablo/ Loewe, Axel, Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG, Freiburg 2021.