RE-BVS – Piemonte Repository

Sfoglia per AUTORE
CAIANI EG
Collezione ASL Torino 4

Items : 2

DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR. in Atherosclerosis / Atherosclerosis. 2024 Oct;397:117549. doi: 10.1016/j.atherosclerosis.2024.117549. Epub 2024 Apr 18.

2024
ASL Torino 4
AOU Novara

van der Harst P; Rovera C; Costantini P; van der Bilt I; Rossi A; Guaricci AI; Rabbat MG; Corino V; Baessato F; Tassetti L; Pirola S; Mastroiacovo G; Marchetti F; Maragna R; Mantegazza V; Mancini ME; Junod D; Gripari P; Frappampina A; Formenti A; Fazzari F; Del Torto A; Cilia F; Annoni A; Cannata F; Mushtaq S; Baggiano A; Fusini L; Volpe A; et alii...

Deep Learning-based Quantification of Epicardial Adipose Tissue Volume in Stress CMR Predicts Major Adverse Cardiovascular Events in Patients with Known or Suspected Coronary Artery Disease in Journal of Cardiovascular Magnetic Resonance

2024
ASL Torino 4

Guglielmo M; Penso M; Carerj ML; Giacari CM; Volpe A; Fusini L; Baggiano A; Mushtaq S; Annoni A; Cannata F; Cilia F; Torto AD; Fazzari F; Formenti A; Frappampina A; Gripari P; Junod D; Mancini M; Mantegazzaa V; Maragna R; Marchetti F; mastroiacovo G; Pirola S; Tassetti L; Baessato F; Corino V; Guaricci A; Rossi A; Rovera C; et alii...