Conference Agenda

10:30am - 10:45am
1.F: 1

A computationally efficient deep learning model for high-resolution transient hemodynamics estimation in complex vascular geometries

Noah Maul^1,2, Katharina Zinn¹, Fabian Wagner¹, Mareike Thies¹, Maximilian Rohleder^1,2, Laura Pfaff^1,2, Markus Kowarschik², Annette Birkhold², Andreas Maier¹

¹Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; ²Siemens Healthineers AG, Forchheim, Germany

10:45am - 11:00am
1.F: 2

Parameter estimation in cardiac biomechanical models based on physics-informed neural networks

Federica Caforio^1,2,3, Francesco Regazzoni⁴, Stefano Pagani⁴, Matthias Höfler¹, Elias Karabelas^1,2,3, Christoph Augustin^2,3, Gernot Plank^2,3, Gundolf Haase^1,3, Alfio Quarteroni^4,5

¹Department of Mathematics and Scientific Computing, NAWI Graz, University of Graz (Austria); ²Gottfried Schatz Research Center: Division of Biophysics, Medical University of Graz (Austria); ³BioTechMed-Graz (Austria); ⁴MOX, Department of Mathematics, Politecnico di Milano (Italy); ⁵Institute of Mathematics, EPFL (Switzerland) (Professor Emeritus)

11:00am - 11:15am
1.F: 3

Finite volume informed graph attention network for solving partial differential equations — Application to myocardial perfusion

Raoul Sallé de Chou^1,2, Matthew Sinclair³, Sabrina Lynch³, Nan Xiao³, Laurent Najman⁴, Hugues Talbot², Irene Vignon-clementel¹

¹Inria, Palaiseau, France; ²CentraleSupelec, Inria, Université Paris-Saclay, France; ³HeartFlow Inc., Redwood City, USA; ⁴ESIEE, Université Gustave Eiffel, France

11:15am - 11:30am
1.F: 4

Machine learning-based models to predict axillary lymph node metastasis in breast cancer patients

Alba Fischer-Carles^1,2,4, Carlos López Pablo^1,2,3, Esther Sauras-Colón^1,2, Noèlia Gallardo-Borràs^1,2, Alessio Fiorin^1,2,3, Mikel R. Ortiz de Uriarte^1,2, Laia Reverté Calvet^1,2, Marylène Lejeune^1,2,3, Elena Goyda², Laia Adalid Llansa², Daniel Mata Cano², Ramon Bosch Príncep², Jérôme Noailly⁴, Gemma Piella⁴

¹Oncological Pathology and Bioinformatics Research Group, Institut d'Investigació Sanitària Pere i Virgili, Tortosa, Spain; ²Department of Pathology, Hospital de Tortosa Verge de la Cinta, Institut Català de la Salut, Tortosa, Spain; ³Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain; ⁴BCN MedTech, Department of Information and Communications Technologies, Universitat Pompeu Fabra, Barcelona, Spain

11:30am - 11:45am
1.F: 5

Predicting post-traumatic stress disorder (PTSD) symptoms in women suffering from breast cancer using machine learning

Konstantinos N. Rizavas¹, Eleni A. Klokotroni¹, Paula Poikonen-Saksela², Georgios S. Stamatakos¹

¹National Technical University of Athens, Athens, Greece; ²Helsinki University Hospital, Helsinki, Finland