Program > Monday June 2

7:30-8:15 Basic Concepts 1 (early-morning educational parallel sessions)

E1-A: Cardiovascular Physiology, Heart Failure 

E1-B: Cardiovascular Imaging (MRI, Echo, CT) 

8:30-9:00 Welcome

9:00-10:00 Keynote 1

Rob MacLeod: “The Cinderella Story: Making the Pumpkin into a Carriage” 

Talk Summary: Imaging has contributed immensely to the field of atrial arrhythmias in the past 20 years. But what are the key developments that can now be implemented?  What insights do we have into measuring the uncertainty of our predictions? What is needed for the future to make the ideal “carriage” for Cinderella? Focus for the future: What do you lose/gain when sharing data and ideas? Can such connections create super-grand research groups that can facilitate clinically useful translations? Open-science risks and opportunities.

10:00-10:40 Electrophysiology Imaging and Modeling (Oral 1)

• Multimodal Personalisation of Cardiac Electrophysiology Models Combining 12-Lead ECG and Computed Tomography (Ly, Cedilnik, Pop, Duchateau, Sacher, Jais, Cochet, Sermesant; IHU Liryc Bordeaux, France)
• Anatomic and Electrophysiological Biomarkers Favoring Atrial Fibrillation Identified by Virtual Populations (Romitti, Termenón-Rivas, Liberos, Rodrigo; Universitat de València, Spain)

10:40-11:10 Coffee Break

11:15-12:45 Models for Arrhythmia and Their Sequelae (Oral 2)

• Arrhythmic Mitral Valve Syndrome: Insights from Left Ventricular End-Systolic Shape Analysis (Monopoli, Aabel, Ribe, Castrini, Hasselberg, Bugge, Five, Haugaa, Balaban, Forsch, Maleckar; Simula, Oslo, Norway)
• Validation of a Computational Model for Simulating Hemodynamic Effects of Premature Ventricular Complexes (Vossen, van Osta, Lourenco, Laranjo, Lumens; Maastricht University, The Netherlands)
• 3D-Shell Electromechanical Modeling of the Left Atrium (Ruz, Vidrascu, Chapelle, Fernandez; Inria, Paris, France)
• Computational Modelling of Thrombogenesis during Cryoablation and Radiofrequency Ablation in the Left Atrium (Melidoro, Williams, Lip, Klis, Aslanidi, De Vecchi; King's College London, UK)
• Influence of Oestrogen on Atrial Fibrillation Risk: An In-Silico Study (Kulkarni, Barrows, Strocchi, Augustin, Gsell, Vigmond, Plank, Panay, Niederer; Imperial College London, UK)

12:45-13:45 Lunch

13:45-14:45: Keynote 2

André La Gerche: “The Goldilocks and Three Bears”: What is Just Right?

Talk Summary: ‘To understand exertional breathlessness, you must exert the breathless’. Exercise imaging provides an unparalleled insight into the pathophysiology of multiple cardiovascular pathologies. Exercise has a profound effect on cardiac remodeling. There has been an increasing body of evidence demonstrating that cardiorespiratory fitness can decelerate the disease progress and in some circumstances even reverse it. However, there is also an increasing awareness of the health consequences of extreme remodeling – too much and too little. Is there an opportunity for modeling to contribute into diagnostics and surveillance by combining exercise imaging with various clinical data and to help patient-specific prescriptions for exercise? 

14:45-15:40 Mechanics Assessment of Cardiovascular Health (Oral 3)

• The Impact of Left Ventricular Stiffness on Hemodynamic Responses to Mitral Regurgitation at Rest and During Exercise (van den Acker, van Loon, van Osta, Delhaas, Lumens; Maastricht University, The Netherlands) 
• Multi-Scale Whole-heart Electromechanics Modeling to Link Cellular, Tissue and Systemic Properties to Cardiac Biomarkers in the Diabetic Male and Female Heart (Strocchi, Barrows, Rodero, Solís-Lemus, Qian, Cicci, Qayyum, Ugurlu, Augustin, Gsell, Vigmond, Plank, Niederer; Imperial College London, UK)
• A Multimodal Machine Learning Approach for Identifying Elevated Left Ventricular End-Diastolic Pressure (Verlyck, Zhao, Ferdian, Creamer, Quill, Poppe, Babarenda Gamage, Young, Nash; University of Auckland, New Zealand)

15:40-16:10 Coffee Break

16:15-17:45 Advances in Cardiovascular Research through FIMH (Poster 1)

17:45- Welcome Reception

Advances in Cardiovascular Research through Functional Imaging and Modeling of the Heart 

(Poster Session 1, Monday June 2) 

Electrophysiology

• Effects of the Insertion of Epicardial Anisotropy versus Isotropy in the Inverse Problem of Electrocardiography (Lagracie, Weynans, Coudière; Université de Bordeaux, France) 
• Cardiac Electromechanical Model Sensitivity Analysis using Causal Discovery (Al-Ali, Rodríguez Padilla, Sermesant, Balelli; Inria, Sophia-Antipolis, France) 
• In silico Assessment of Arrhythmia Inducibility Dependence on Stimulus Location using Calibrated MR-based Infarcted Heart Models (Padilla, Silva, Ly, Wright, Pop, Sermesant; IHU Liryc Boredaux, France) 
• Learning the Fiber Orientation of the Right Ventricle from a Single Electroanatomical Map with Physics-Informed Neural Networks(Chatraie, Magana, Shariatpanahi, Goliaei, Sahli Costabal; PUC Santiago de Chile)
• Electrophysiologically-Characterized Digital Twins from Intracavitary Recordings During Atrial Fibrillation (Termenón Rivas, Romitti, Narayan, Liberos, Rodrigo; Universitat de València, Spain)

Image and Shape Analysis

• Characterizing Global & Regional Cardiac Diffusion Tensor Imaging Metrics in Healthy Subjects (Hannum, Cork, Perotti, Ennis; Stanford University, CA, USA)
• Analysis of Cardiac Dynamic Global Function (Axel, Kanski, Jhaveri, Ye, Guo, He, Metaxas; New York University, NY, USA) 
• Universal Coordinates and Parametrization Methods for Mitral Valve Dynamic Simulations (Villard, Hammer, Berger, Gao; Université de Lorraine, France)  
• A Deep Learning Framework for Fetal Heart Tracking in Ultrasound Videos: Toward Enhanced Congenital Heart Defects Detection (Yang, Cui, Hu, Peng, Hernandez-Cruz, Ahuja, D’Alberti, Raymond, Patey, Papageorghiou, Noble; University of Oxford; UK)
• 3D Reconstruction of the Left Atrial Geometry from 2D Echocardiographic Images Using Deep Learning (Methari, Saiz Vivó, Szpetnar, Esquinas, Stojanovski, Cochet, Gómez, Camara; UPF, Barcelona, Spain) 
• Semantic Video Diusion Models for Long Echocardiogram Generation (Chetoui, Evain, Kingston, Hermida, Morales; Dassault System, France)
• Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation (Rickmann, Thorn, Ahn, Lee, Uman, Lysyy, Burns, Guerrera,  Spinale, Burdick, Sinusas, Duncan; Yale University, CT, USA)

Biomechanics

• The CircAdapt Framework: Create Fast Computational Models of Cardiovascular Function (van Osta, Plavetić, van den Acker, van Loon, Delhaas, Lumens; Maastricht University, The Netherlands) 
• Atrial Constitutive Neural Networks (Peirlinck, Linka, Kuhl; Delft University of Technology, The Netherlands) 
• Transformer-Based Surrogate Modeling for Efficient Left Ventricular Digital Twin (Fan, Roche; MIT , CA, USA) 
• Rethinking Cardiac Acoustics: How Flow Separation Drives Murmur Formation (Konings,  Shahmohammadi, Delhaas; Maastricht University, The Netherlands) 
• Identification of the Unloaded Heart Configuration Including External Interactions (Jilberto, Nordsletten; University of Michigan, MI, USA)
• High Speed Cardiac Simulations Using the JAX Framework (Thomas, Goodbrake, Meyer, Sacks; UT Austin, TX, USA) 
• Analyzing the Impact of Different Microstructure and Active Stress Models on Peak Systolic Kinematics (Ogiermann, Balzani, Perotti; Ruhr-Universität Bochum, Germany) 
• Interactive Effects Between Papillary Muscle Approximation and Ring Annuloplasty to Repair Functional Mitral Regurgitation in Enlarged Ventricles (Gaidulis, Kalra, Padala; University of Memphis, TN, USA) 

Hemodynamics and CFD

• Global Left Atrial Wall Fibrosis is Associated with Pro-thrombotic Haemodynamics in Atrial Fibrillation: A Computational Fluid Dynamics Study (Parker, Bollache, Leite, Corsi, Soulez, Bouazizi, Safi, Feignoux, Piot, Badenco, Gandjbakhch, Redheuil, Laredo, Kachenoura; Sorbonne Universite, Paris, France) 
• Investigation of the Left Atrial Appendage Hemodynamics by Integrating ECG-Gated CT and Mesh Morphing (Verdirame,  Fanni, Dell’Agnello, Berti, Petrini, Pennati, Celi; Fondazione Monasterio, Pisa, Italy) 
• Quantification of Perfusion Using Fermi Deconvolution (Shestopalova, Kovar, Tomas Oberhuber; Czech Technical University in Prague; Czech Republic) 
• Comparison of Image-Driven, Patient-Specific, Direct Numerical Simulations to 4D Flow MRI in the Right Ventricle (Yildiran, Capuano, Loke, Olivieri, Balaras; George Washington University, Washington, DC, USA)