Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020 by Perez Alday, Erick A, Gu, Annie, J Shah, Amit, Robichaux, Chad, Ian Wong, An-Kwok, Liu, Chengyu, Liu, Feifei, Bahrami Rad, Ali, Elola, Andoni, Seyedi, Salman, Li, Qiao, Sharma, Ashish, Clifford, Gari D, Reyna, Matthew A

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Computing in Cardiology (CinC) by MacFarlane, Peter, Laguna, Pablo, Krstacic, Goran

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AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017 by Clifford, Gari D, Liu, Chengyu, Moody, Benjamin, Lehman, Li-wei H., Silva, Ikaro, Li, Qiao, Johnson, A E, Mark, Roger G.

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Practical Lessons on 12-Lead ECG Classification: Meta-Analysis of Methods From PhysioNet/Computing in Cardiology Challenge 2020 by Hong, Shenda, Zhang, Wenrui, Sun, Chenxi, Zhou, Yuxi, Li, Hongyan

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Critical appraisal of technologies to assess electrical activity during atrial fibrillation: a position paper from the European Heart Rhythm Association and European Society of Cardiology Working Group on eCardiology in collaboration with the Heart Rhythm Society, Asia Pacific Heart Rhythm Society, Latin American Heart Rhythm Society and Computing in Cardiology by de Groot, Natasja M S, Shah, Dipen, Boyle, Patrick M, Anter, Elad, Clifford, Gari D, Deisenhofer, Isabel, Deneke, Thomas, van Dessel, Pascal, Doessel, Olaf, Dilaveris, Polychronis, Heinzel, Frank R, Kapa, Suraj, Lambiase, Pier D, Lumens, Joost, Platonov, Pyotr G, Ngarmukos, Tachapong, Martinez, Juan Pablo, Sanchez, Alejandro Olaya, Takahashi, Yoshihide, Valdigem, Bruno P, van der Veen, Alle-Jan, Vernooy, Kevin, Casado-Arroyo, Ruben, De Potter, Tom, Dinov, Borislav, Kosiuk, Jedrzej, Linz, Dominik, Neubeck, Lis, Svennberg, Emma, Kim, Young-Hoon, Wan, Elaine, Lopez-Cabanillas, Nestor, Locati, Emanuela T, Macfarlane, Peter

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Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021 by Reyna, Matthew A, Sadr, Nadi, Alday, Erick A Perez, Gu, Annie, Shah, Amit J, Robichaux, Chad, Rad, Ali Bahrami, Elola, Andoni, Seyedi, Salman, Ansari, Sardar, Ghanbari, Hamid, Li, Qiao, Sharma, Ashish, Clifford, Gari D

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You Snooze, You Win: the PhysioNet/Computing in Cardiology Challenge 2018 by Ghassemi, Mohammad M, Moody, Benjamin E, Lehman, Li-Wei H, Song, Christopher, Li, Qiao, Sun, Haoqi, Mark, Roger G, Westover, M Brandon, Clifford, Gari D

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A Comprehensive Study of Complexity and Performance of Automatic Detection of Atrial Fibrillation: Classification of Long ECG Recordings Based on the PhysioNet Computing in Cardiology Challenge 2017 by Kleyko, Denis, Osipov, Evgeny, Wiklund, Urban

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Classification of normal/abnormal heart sound recordings: The PhysioNet/Computing in Cardiology Challenge 2016 by Clifford, Gari D., Chengyu Liu, Moody, Benjamin, Springer, David, Silva, Ikaro, Qiao Li, Mark, Roger G.

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Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013 by Silva, Ikaro, Behar, Joachim, Sameni, Reza, Zhu, Tingting, Oster, Julien, Clifford, Gari D, Moody, George B

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Predicting in-hospital mortality of ICU patients: The PhysioNet/Computing in cardiology challenge 2012 by Silva, I., Moody, G., Scott, D. J., Celi, L. A., Mark, R. G.

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The PhysioNet/Computing in Cardiology Challenge 2015: Reducing false arrhythmia alarms in the ICU by Clifford, Gari D., Silva, Ikaro, Moody, Benjamin, Qiao Li, Kella, Danesh, Shahin, Abdullah, Kooistra, Tristan, Perry, Diane, Mark, Roger G.

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Computing in Cardiology 2023

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Computing in Cardiology 2023

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Computing in Cardiology 2023 Awards Summary by Young, Rosanna Degani

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Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020 by Reyna, Matthew A, Alday, Erick A Perez, Gu, Annie, Liu, Chengyu, Seyedi, Salman, Rad, Ali Bahrami, Elola, Andoni, Li, Qiao, Sharma, Ashish, Clifford, Gari D

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Application of Dense Neural Networks for Detection of Atrial Fibrillation and Ranking of Augmented ECG Feature Set by Krasteva, Vessela, Christov, Ivaylo, Naydenov, Stefan, Stoyanov, Todor, Jekova, Irena

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Computing in Cardiology 2021 Awards Summary

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Computing in Cardiology 2020 Awards Summary

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Improving the quality of ECGs collected using mobile phones: The PhysioNet/Computing in Cardiology Challenge 2011 by Silva, I., Moody, G. B., Celi, L.

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