Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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1.2: Imaging for health and diseased conditions (Cardiovascular) & Poster session (Cardiovascular)
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11:00am - 11:12am
ID: 282 / 1.2: 1 RADIOMICS-BASED IDENTIFICATION OF PATIENTS WITH CARDIOVASCULAR DISEASES FROM RETINAL IMAGES 1Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Milan, Italy; 2IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy; 3Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy; 4Department of Chemistry, Material and Chemical Engineering, Politecnico di Milano, Milan, Italy
11:12am - 11:24am
ID: 527 / 1.2: 2 DEFORMABLE IMAGE REGISTRATION ASSESSMENT OF THE AORTIC REMODELING IN AORTOPATHY PATIENTS 1Institute of Cardiovascular Science, University College London, United Kingdom; 2Department of Cardiology, Great Ormond Street Hospital, United Kingdom; 3Barts' Heart Centre, St Bartholomew's Hospital, United Kingdom
11:24am - 11:36am
ID: 267 / 1.2: 3 A SECTOR-BASED RADIOMIC APPROACH TO CHARACTERIZE CAROTID PLAQUE EVOLUTION 1Politecnico di Milano, Milan, Italy; 2Erasmus Medical Center, Rotterdam, the Netherlands; 3Centro Cardiologico Monzino IRCCS, Milan, Italy; 4Delft University of Technology, the Netherlands
11:36am - 11:48am
ID: 428 / 1.2: 4 QUANTIFYING FEATURES OF UMBILICAL CORD VASCULAR PHENOTYPES FROM ULTRASOUND IMAGING 1Centre for Medical Informatics, Usher Institute, University of Edinburgh, UK; 2Institute for Neuroscience and Cardiovascular Research, University of Edinburgh, UK; 3Institute for Regeneration and Repair, University of Edinburgh, UK; 4Centre for Reproductive Health, Institute for Regeneration and Repair, University of Edinburgh, UK
11:48am - 12:00pm
ID: 227 / 1.2: 5 HCM-NET: A DEEP NEURAL NETWORK FOR IMPROVED CARDIAC IMAGE SEGMENTATION OF HYPERTROPHIC CARDIOMYOPATHY 1Department of Computer Science, University of Oxford, Oxford OX1 3QD, United Kingdom; 2Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, United Kingdom
12:00pm - 12:12pm
ID: 360 / 1.2: 6 SMARTLYF – A STRESS-INTEGRATED DIGITAL TWIN FRAMEWORK FOR FUNCTIONAL RISK STRATIFICATION IN AAA 1Insel Group, Inselspital, University of Bern, Dpt. of Diagnostic, Internventional and Pediatric Radiology, Bern, Switzerland; 2Department of Vascular Surgery, Inselspital, University of Bern, Switzerland; 3Department of Anesthesiology and Intensive Care Medicine, Charité – Universitätsmedizin Berlin, Germany; 4PULS/e, Department of Biomedical Engineering, Eindhoven, the Netherlands; 5Laboratory for Rehabilitation Engineering, Bern University of Applied Sciences, Switzerland
12:12pm - 12:24pm
ID: 370 / 1.2: 7 LEFT VENTRICULAR VORTEX DYNAMICS AS A MECHANISTIC BIOMARKER OF CARDIAC FUNCTION BASED ON CLINICAL CARDIAC DATA 1School of Biomedical Engineering, Indian Institute of Technology (BHU) Varanasi, India; 2Deparment of Mechanical Engineering, Zakir Hussian College of Engineering and Technology AMU, Aligarh, India; 3Department of Cardiology, Insititue of Medical Sciences Varanasi, India; 4Department of Radio-diagnosis, Insititue of Medical Sciences Varanasi, India; 5Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, India
12:24pm - 12:27pm
ID: 459 / 1.2: 8 TOWARDS A PATIENT-STRUCTURED DATA MODEL FOR AI-DRIVEN ANALYSIS OF PHOTON-COUNTING CORONARY CT Fondazione Gabriele Monasterio, Italy
12:27pm - 12:30pm
ID: 295 / 1.2: 9 RECONSTRUCTION OF PLANAR BLOOD FLOW IN LEFT VENTRICLE WITH OUT-OF-PLANE MASS TRANSPORT CONSIDERED 1Graduate School of Integrative Science and Engineering, Tokyo City University, Japan; 2Department of Mechanical Systems Engineering, Faculty of Science and Engineering, Tokyo City University, Japan
12:30pm - 12:33pm
ID: 205 / 1.2: 10 TOPOLOGICAL DEEP LEARNING ON GRAPHS FOR ARRHYTHMIA RISK PREDICTION FROM IMAGES 1Inria, Université Côte d'Azur, Epione team, Sophia Antipolis, France; 2IHU Liryc, Université de Bordeaux, Bordeaux, France
12:33pm - 12:36pm
ID: 447 / 1.2: 11 AUTOMATED FRAMEWORK FOR CT-BASED STRAIN ESTIMATION AT THE LEFT ATRIAL APPENDAGE LANDING ZONE 1BioCardioLab, Bioengineering Unit, Fondazione Monasterio, Massa, Italy; 2Department of Information Engineering, University of Pisa, Pisa, Italy; 3Adult Cardiology Unit, Fondazione Monasterio, Massa, Italy
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