Publications by authors named "Sandy Engelhardt"

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3D-printed in vitro models of Stanford type B aortic dissection: A scoping review.
Matthias Niklas Hagedorn, Marcello Mächerle, Roger Karl, C Soeren Bergt, Dittmar Böckler, Sandy Engelhardt

J Vasc Surg Cases Innov Tech· December 2025

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Artificial Intelligence in Valvular Heart Disease: Innovations and Future Directions.
Annette Maznyczka, Rutger-Jan Nuis, Isaac Shiri, Julien Ternacle, Philippe Garot, Sandy Engelhardt

JACC Cardiovasc Interv· October 2025

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Unconditional latent diffusion models memorize patient imaging data.
Salman Ul Hassan Dar, Marvin Seyfarth, Isabelle Ayx, Theano Papavassiliu, Stefan O Schoenberg, Sandy Engelhardt

Nat Biomed Eng· August 2025

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AI-based CT assessment of 3117 vertebrae reveals significant sex-specific vertebral height differences.
Viktoria Palm, Subasini Thangamani, Bettina Katalin Budai, Stephan Skornitzke, Kira Eckl, Sandy Engelhardt

Sci Rep· July 2025

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Correction: Multi-modal dataset creation for federated learning with DICOM-structured reports.
Malte Tölle, Lukas Burger, Halvar Kelm, Florian André, Peter Bannas, Sandy Engelhardt

Int J Comput Assist Radiol Surg· June 2025

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Deep Learning-based Aligned Strain from Cine Cardiac MRI for Detection of Fibrotic Myocardial Tissue in Patients with Duchenne Muscular Dystrophy.
Sven Koehler, Julian Kuhm, Tyler Huffaker, Daniel Young, Animesh Tandon, Sandy Engelhardt

Radiol Artif Intell· May 2025

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State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology.
Emma Svennberg, Janet K Han, Enrico G Caiani, Sandy Engelhardt, Sabine Ernst

Europace· May 2025

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Automatic structuring of radiology reports with on-premise open-source large language models.
Piotr Woźnicki, Caroline Laqua, Ina Fiku, Amar Hekalo, Daniel Truhn, Sandy Engelhardt

Eur Radiol· April 2025

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Investigating the Shortcomings of the Flow Convergence Method for Quantification of Mitral Regurgitation in a Pulsatile In-Vitro Environment and with Computational Fluid Dynamics.
Robin Leister, Roger Karl, Lubov Stroh, Derliz Mereles, Matthias Eden, Sandy Engelhardt

Cardiovasc Eng Technol· April 2025

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Multi-modal dataset creation for federated learning with DICOM-structured reports.
Malte Tölle, Lukas Burger, Halvar Kelm, Florian André, Peter Bannas, Sandy Engelhardt

Int J Comput Assist Radiol Surg· March 2025

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Simulation of thoracic endovascular aortic repair in a perfused patient-specific model of type B aortic dissection.
Lukas Mohl, Roger Karl, Matthias N Hagedorn, Armin Runz, Stephan Skornitzke, Sandy Engelhardt

Int J Comput Assist Radiol Surg· February 2025

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Real world federated learning with a knowledge distilled transformer for cardiac CT imaging.
Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Sandy Engelhardt

NPJ Digit Med· February 2025

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Artificial intelligence in cardiovascular imaging and intervention.
Sandy Engelhardt, Salman Ul Hussan Dar, Lalith Sharan, Florian André, Eike Nagel

Herz· October 2024

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Erratum to: Artificial intelligence in cardiovascular imaging and intervention.
Sandy Engelhardt, Salman Ul Hussan Dar, Lalith Sharan, Florian André, Eike Nagel

Herz· October 2024

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Why thorough open data descriptions matters more than ever in the age of AI: opportunities for cardiovascular research.
Sandy Engelhardt

Eur Heart J Digit Health· September 2024

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Combined conventional factors and the radiomics signature of coronary plaque texture could improve cardiac risk prediction.
Jannik Kahmann, Dominik Nörenberg, Theano Papavassiliu, Salman Ul Hassan Dar, Sandy Engelhardt

Insights Imaging· July 2024

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Prediction of diagnosis and diastolic filling pressure by AI-enhanced cardiac MRI: a modelling study of hospital data.
David Hermann Lehmann, Bruna Gomes, Niklas Vetter, Olivia Braun, Ali Amr, Sandy Engelhardt

Lancet Digit Health· June 2024

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Perfect Match: Radiomics and Artificial Intelligence in Cardiac Imaging.
Bettina Baeßler, Sandy Engelhardt, Amar Hekalo, Anja Hennemuth, Markus Hüllebrand

Circ Cardiovasc Imaging· June 2024

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Surgical phase and instrument recognition: how to identify appropriate dataset splits.
Georgii Kostiuchik, Lalith Sharan, Benedikt Mayer, Ivo Wolf, Bernhard Preim, Sandy Engelhardt

Int J Comput Assist Radiol Surg· April 2024

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Surgical training of minimally invasive mitral valve repair on a patient-specific simulator improves surgical skills.
Christina Wang, Roger Karl, Lalith Sharan, Andela Grizelj, Samantha Fischer, Sandy Engelhardt

Eur J Cardiothorac Surg· March 2024

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An ex-vivo and in-vitro dynamic simulator for surgical and transcatheter mitral valve interventions.
Roger Karl, Gabriele Romano, Josephin Marx, Matthias Eden, Philipp Schlegel, Sandy Engelhardt

Int J Comput Assist Radiol Surg· March 2024

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Artificial Intelligence to derive aligned strain in cine CMR to detect patients with myocardial fibrosis: an open and scrutinizable approach.
Sven Koehler, Julian Kuhm, Tyler Huffaker, Daniel Young, Animesh Tandon, Sandy Engelhardt

Res Sq· January 2024

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Comparative evaluation of three commercially available markerless depth sensors for close-range use in surgical simulation.
Lukas Burger, Lalith Sharan, Roger Karl, Christina Wang, Matthias Karck, Sandy Engelhardt

Int J Comput Assist Radiol Surg· June 2023

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Denoising diffusion probabilistic models for 3D medical image generation.
Firas Khader, Gustav Müller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Sandy Engelhardt

Sci Rep· May 2023

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Surgical Rehearsal for Mitral Valve Repair: Personalizing Surgical Simulation by 3D Printing.
Samantha Fischer, Gabriele Romano, Lalith Sharan, Gregor Warnecke, Derliz Mereles, Sandy Engelhardt

Ann Thorac Surg· April 2023

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