Gröben, J. H. von der
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3

Machine learning-based atrial fibrillation onset prediction..:

Gilon, C. ; Grégoire, J.-M. ; Groben, L....
Archives of Cardiovascular Diseases.  117 (2024)  1 - p. S96 , 2024
 
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4

Deep learning-based identification of paroxysmal atrial fib..:

Grégoire, J.-M. ; Gilon, C. ; Bersini, H....
Archives of Cardiovascular Diseases.  117 (2024)  1 - p. S93-S94 , 2024
 
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6

Signification de la fibrillation auriculaire permanente dan..:

Brembilla-Perrot, B. ; Marçon, O. ; Chometon, F....
Annales de Cardiologie et d'Angéiologie.  56 (2007)  3 - p. 107-110 , 2007
 
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215 Is it necessary to indicate another electrophysiologica..:

Brembilla-Perrot, Béatrice ; Khachab, H. ; Laporte, Franck...
Archives of Cardiovascular Diseases Supplements.  3 (2011)  1 - p. 69-70 , 2011
 
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208 Reappearance of the preexcitation syndrome after ablati..:

Brembilla-Perrot, Béatrice ; Khachab, H. ; Laporte, Franck...
Archives of Cardiovascular Diseases Supplements.  3 (2011)  1 - p. 67 , 2011
 
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13

Gruppierungen:

, In: Notfallpsychologie,
Lasogga, F. ; Karutz, H. ; Waterstraat, F.... - p. 197-271 ,
 
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14

Combined Bacterial Meningitis and Infective Endocarditis: W..:

Béraud, Guillaume ; Tubiana, Sarah ; Erpelding, Marie-Line...
info:eu-repo/semantics/altIdentifier/doi/10.1007/s40121-022-00651-7.  , 2022
 
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15

Combined Bacterial Meningitis and Infective Endocarditis: W..:

Béraud, Guillaume ; Tubiana, Sarah ; Erpelding, Marie-Line...
info:eu-repo/semantics/altIdentifier/doi/10.1007/s40121-022-00651-7.  , 2022
 
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