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Publications

In this section, we will be continuously sharing the dissemination actions taken by the PersonalizeAF ESRs, such as journal papers, abstracts and conference paper. 

 

The publications of the network can be found in our repository in ZENODO

 

Conferences and congresses

  • Bidar, E., Zeemering, S., Gilbers, M., Isaacs, A., Verheule, S., Zink, M. D., Maesen, B., Bramer, S., Kawczynski, M., Van Gelder, I. C., Crijns, H. J. G. M., Maessen, J. G., & Schotten, U. . “Clinical and electrophysiological predictors of device-detected new-onset atrial fibrillation during 3 years after cardiac surgery.” 2021. EP Europace, 23(12), 1922-1930. LINK 
  • Fambuena-Santos, C., Hernández-Romero,I., Molero, R. , Climent, AM., Guillem. MS. “An evaluation on the clinical outcome prediction of rotor detection in noninvasive phase maps.” 2021, Computing in Cardiology 2021; Vol 48. Can be consulted in this link 
  • Marques, VG. , Gharaviri, A., Pezzuto, S. ,Bonizzi, P , Zeemering,S., Schotten, U. “Spatial Relationship Between Atrial Fibrillation Drivers and the Presence of Repetitive Conduction Patterns Using Recurrence Analysis on In-Silico Models”.Computing in Cardiology 2021; Vol 48 – Can be consulted in the following link . 
  • Lacki,A., Hernández-Romero, Guillem, M. S, Climent, AM,, “ECGI Periodicity Unraveled: A Deep Learning Approach for the Visualization of Periodic Spatiotemporal Patterns in Atrial Fibrillation Patients,” 2021 Computing in Cardiology (CinC), 2021, Vol 48. Can be consulted in this link 
  • Özgül, O., Hermans, B.; Van Hunnik, A; Verheule, S; Schotten, U; Bonizzi, P; Zeemering, S, “High Coverage and High-Resolution Mapping of Repetitive Patterns During Atrial Fibrillation,” 2021 Vol 48, Computing in Cardiology (CinC). Can be consulted in this link 
  • Gassa, N., Zemzemi, N., Corrado, C., Coudière, Y. (2021). “Spiral Waves Generation Using an Eikonal-Reaction Cardiac Electrophysiology Model”. In: Ennis, D.B., Perotti, L.E., Wang, V.Y. (eds) Functional Imaging and Modeling of the Heart. FIMH 2021. Lecture Notes in Computer Science(), vol 12738. Can be consulted in this link
  • Gassa, N.,Sacristan, B. ,  Zemzemi, N, Laborde, M., Oliver, J., et al. “Benchmark of deep learning algorithms for the automatic screening in electrocardiograms transmitted by implantable cardiac devices”. CINC 2021 – Computing In Cardiology, 2021, Vol 48. Can be consulted in this link.
  • Unger L, Schicketanz L, Oesterlein T, Stritt M, Haas A, Martínez Antón C, Schmidt K, Doessel O and Luik A “Local Electrical Impedance Mapping of the Atria: Conclusions on Substrate Properties and Confounding Factors.” Front. Physiol. 12:788885.. LINK
 
 

Journal papers

  • Greiner J, Schiatti T, Kaltenbacher W, Dente M, Semenjakin A, Kok T, Fiegle DJ, Seidel T, Ravens U, Kohl P, Peyronnet R, Rog-Zielinska EA. “Consecutive-Day Ventricular and Atrial Cardiomyocyte Isolations from the Same Heart: Shifting the Cost–Benefit Balance of Cardiac Primary Cell Research”. Cells. 2022; 11(2):233. Can be consulted in the following link  

 

  • Fambuena-Santos C,Hernández-Romero I, Molero R, Atienza F,Climent AM and Guillem MS, AF driver detection in pulmonary vein area by electropcardiographic imaging: Relation with a favorable outcome of pulmonary vein isolation.Front. Physiol. 30 January 2023 Sec. Cardiac Electrophysiology 14:1057700. Can be consulted in the following link

 
This publications reflect only the author’s view and that the Agency is not responsible for any use that may be made of the information it contains.