Hasil Pencarian - Daniele Junod

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  1. 1
    Is red distribution width a valid tool to predict impaired iron transport in heart failure?

    Is red distribution width a valid tool to predict impaired iron transport in heart failure? oleh Jeness Campodonico, Jeness Campodonico, Ermes Carulli, Francesco Doni, Gerardo Lo Russo, Daniele Junod, Margherita Gaudenzi Asinelli, Alice Bonomi, Fabiana De Martino, Carlo Vignati, Beatrice Pezzuto, Piergiuseppe Agostoni, Piergiuseppe Agostoni

    Diterbitkan 2023-04-01
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  2. 2
    Stress Computed Tomography Perfusion versus Stress Cardiac Magnetic Resonance for the Management of Suspected or Known Coronary Artery Disease: Resources and Outcomes Impact - The STRATEGY II Study

    Stress Computed Tomography Perfusion versus Stress Cardiac Magnetic Resonance for the Management of Suspected or Known Coronary Artery Disease: Resources and Outcomes Impact - The... oleh Andrea Baggiano, MD, Riccardo Maragna, MD, Marco Guglielmo, MD, Saima Mushtaq, MD, Andrea Annoni, MD, Alberto Formenti, MD, Maria Mancini, MD, Laura Fusini, MD, MSc, Alessandra Volpe, MD, Luigi Tassetti, MD, Francesca Marchetti, MD, Daniele Junod, MD, Fabio Fazzari, MD, Francesco Cannata, MD, Alberico Del Torto, MD, Andrea Guaricci, MD, PhD, Gianluca Pontone, MD, PhD

    Diterbitkan 2024-01-01
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  3. 3
    Plasma Exosomes Refl Ect Myocardial Injury Detected by Cardiac Magnetic Resonance in STEMI Patients

    Plasma Exosomes Refl Ect Myocardial Injury Detected by Cardiac Magnetic Resonance in STEMI Patients oleh Andrea Baggiano, MD, Marta Zarà, PhD, Cristina Banfi, PhD, Jeness Campodonico, MD, Calogero Tedesco, PhD, Patrizia Amadio, PhD, Sebastiano Gili, MD, Gianluca De Dona, PhD, Leonardo Sandrini, PhD, Riccardo Maragna, MD, Daniele Junod, MD, Laura Fusini, MD, MSc, Saima Mushtaq, MD, Fabio Fazzari, MD, Giancarlo Marenzi, MD, Gianluca Pontone, MD, PhD, Silvia Barbieri, PhD

    Diterbitkan 2024-01-01
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  4. 4
    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

    Deep Learning-based Quantification of Epicardial Adipose Tissue Volume in Stress CMR Predicts Major Adverse Cardiovascular Events in Patients with Known or Suspected Coronary Arter... oleh Marco Guglielmo, MD, Marco Penso, Maria Ludovica Carerj, MD, Carlo maria Giacari, MD, Alessandra Volpe, MD, Laura Fusini, MD, MSc, Andrea Baggiano, MD, Saima Mushtaq, MD, Andrea Annoni, MD, Francesco Cannata, MD, Francesco Cilia, Alberico Del Torto, MD, Fabio Fazzari, MD, Alberto Formenti, Antonio Frappampina, Paola Gripari, Daniele Junod, Maria Mancini, MD, Valentina Mantegazzaa, Riccardo Maragna, MD, Francesca Marchetti, MD, Giorgio mastroiacovo, Sergio Pirola, Luigi Tassetti, MD, Francesca Baessato, Valentina Corino, Andrea Guaricci, MD, PhD, Alexia Rossi, Chiara Rovera, Ivo van der Bilt, MD, PhD, Pim van der Harst, Marianna Fontana, MD, PhD, Enrico Gianluca Caiani, Mauro Pepi, Gianluca Pontone

    Diterbitkan 2024-01-01
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