A computational pipeline for fast surrogates of left atrial appendage occlusion fluid simulations

Marta Saiz Vivó¹, Carlos Albors Lucas¹, Angel Herrero Díaz¹, Jordi Mill Tena¹, Andy Luis Olivares¹, Benoit Legghe², Xavier Iriart², Gemma Piella¹, Maxime Sermesant³, Oscar Camara¹

¹Physense, BCN Medtech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain; ²IHU Liryc, CHU Bordeaux, Univ. Bordeaux, Bordeaux, France; ³Inria Centre, Université Côte d'Azur, Epione team, Sophia Antipolis, Valbonne, France

Generative 3D cardiac shape modelling for in-silico trials

Andrei Gasparovici^1,2, Alex Serban¹, Lucian Itu¹

¹Advanta, Siemens SRL, Brașov, Romania; ²Faculty of Mathematics and Computer Science, Babeș-Bolyai University, Cluj-Napoca, Romania

Image segmentation of irradiated tumor spheroids by fully convolutional networks

Matthias Streller², Willy Ciecior^2,3, Soňa Michlíková^1,4, Leoni Kunz-Schughart^1,5, Steffen Lange^1,2, Anja Voss-Böhme^2,3

¹OncoRay—National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden—Rossendorf, Germany; ²DataMedAssist Group, HTW Dresden—University of Applied Sciences, 01069 Dresden, Germany; ³Faculty of Informatics/Mathematics, HTW Dresden—University of Applied Sciences, 01069 Dresden, Germany; ⁴Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology—OncoRay, 01328 Dresden, Germany; ⁵National Center for Tumor Diseases (NCT), Partner Site Dresden, 69120 Heidelberg, Germany

Accelerating osteoarthritis progression predictions: A machine learning and finite element analysis approach

Moein Eddin Yousefi¹, Hassan Amini¹, Mohammad Ali Nazari¹, Ilse Jonkers², Seyed Ali Elahi^2,3

¹School of Mechanical Engineering, College of Engineering , University of Tehran, Iran; ²Department of Human Movement Sciences, KU Leuven, Belgium; ³Mechanical Engineering Department, KU Leuven, Belgium

Enhancing synthetic medical image fidelity through semantic segmentation guidance in diffusion models

João Pedro Rodrigues^1,2, Alexandra Walter^1,2,3, Oliver Jäkel^1,2,4, Jens Fleckenstein⁵, Kristina Giske^1,2

¹Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg, Germany; ²Heidelberg Institute of Radiation Oncology (HIRO) & National Center for Radiation Research in Oncology (NCRO), Heidelberg/Dresden, Germany; ³Karlsruhe Institute of Technology (KIT), Scientific Computing Center, Hermann-von-Helmholtz-Platz 1; ⁴Heidelberg Ion Beam Therapy Center (HIT), Heidelberg, Germany; ⁵Klinik fur Strahlentherapie und Radioonkologie, Universitätsklinikum, Mannheim, Germany

Towards multi-scale model selection for rare data applications

Cordula Reisch¹, Sandra Nickel², Hans-Michael Tautenhahn²

¹Institute for Partial Differential Equations, TU Braunschweig, Germany; ²Department of Visceral, Transplant, Thoracic and Vascular Surgery, University of Leipzig Medical Center, Germany