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Sandy Engelhardt

Showing results (41-50 of 48) with videos related to

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International Journal of Computer Assisted Radiology and Surgery|June 4, 2025
Correction: Multi-modal dataset creation for federated learning with DICOM-structured reportsMalte Tölle, Lukas Burger, Halvar Kelm, et al.
International Journal of Computer Assisted Radiology and Surgery|February 3, 2025
Multi-modal dataset creation for federated learning with DICOM-structured reportsMalte Tölle, Lukas Burger, Halvar Kelm, et al.
NPJ Digital Medicine|February 6, 2025
Real world federated learning with a knowledge distilled transformer for cardiac CT imagingMalte Tölle, Philipp Garthe, Clemens Scherer, et al.
The Lancet. Digital Health|May 24, 2024
Prediction of diagnosis and diastolic filling pressure by AI-enhanced cardiac MRI: a modelling study of hospital dataDavid Hermann Lehmann, Bruna Gomes, Niklas Vetter, et al.
JACC. Cardiovascular Interventions|October 29, 2025
Artificial Intelligence in Valvular Heart Disease: Innovations and Future DirectionsAnnette Maznyczka, Rutger-Jan Nuis, Isaac Shiri, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?Olivier Bernard, Alain Lalande, Clement Zotti, et al.
Medical Image Analysis|November 9, 2020
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imagingZhaohan Xiong, Qing Xia, Zhiqiang Hu, et al.
Arxiv|May 4, 2026
Current validation practice undermines surgical AI developmentAnnika Reinke, Ziying O Li, Minu D Tizabi, et al.
Pageof 5

Showing results (41-50 of 48) with videos related to

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Pageof 5
You have reached the last page of results.This site can display upto 48 results.
International Journal of Computer Assisted Radiology and Surgery|June 4, 2025
Correction: Multi-modal dataset creation for federated learning with DICOM-structured reportsMalte Tölle, Lukas Burger, Halvar Kelm, et al.
International Journal of Computer Assisted Radiology and Surgery|February 3, 2025
Multi-modal dataset creation for federated learning with DICOM-structured reportsMalte Tölle, Lukas Burger, Halvar Kelm, et al.
NPJ Digital Medicine|February 6, 2025
Real world federated learning with a knowledge distilled transformer for cardiac CT imagingMalte Tölle, Philipp Garthe, Clemens Scherer, et al.
The Lancet. Digital Health|May 24, 2024
Prediction of diagnosis and diastolic filling pressure by AI-enhanced cardiac MRI: a modelling study of hospital dataDavid Hermann Lehmann, Bruna Gomes, Niklas Vetter, et al.
JACC. Cardiovascular Interventions|October 29, 2025
Artificial Intelligence in Valvular Heart Disease: Innovations and Future DirectionsAnnette Maznyczka, Rutger-Jan Nuis, Isaac Shiri, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?Olivier Bernard, Alain Lalande, Clement Zotti, et al.
Medical Image Analysis|November 9, 2020
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imagingZhaohan Xiong, Qing Xia, Zhiqiang Hu, et al.
Arxiv|May 4, 2026
Current validation practice undermines surgical AI developmentAnnika Reinke, Ziying O Li, Minu D Tizabi, et al.
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