Marcel Beetz

Orcid: 0009-0004-5239-9313

According to our database1, Marcel Beetz authored at least 26 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks.
IEEE J. Biomed. Health Informatics, August, 2024

Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.
IEEE Trans. Medical Imaging, July, 2024

Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.
CoRR, 2024

Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images.
Medical Image Anal., December, 2023

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023

The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction.
CoRR, 2023

Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.
CoRR, 2023

Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Deep Computational Model for the Inference of Ventricular Activation Properties.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Post-Infarction Risk Prediction with Mesh Classification Networks.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Mesh U-Nets for 3D Cardiac Deformation Modeling.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Generation of 12-Lead Electrocardiogram with Subject-Specific, Image-Derived Characteristics Using a Conditional Variational Autoencoder.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Semi-Supervised Coronary Vessels Segmentation from Invasive Coronary Angiography with Connectivity-Preserving Loss Function.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

2021
Predicting 3D Cardiac Deformations with Point Cloud Autoencoders.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

A Multi-view Crossover Attention U-Net Cascade with Fourier Domain Adaptation for Multi-domain Cardiac MRI Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019
The Liver Tumor Segmentation Benchmark (LiTS).
CoRR, 2019

2018
Automatic Aortic Wall Segmentation and Plaque Detection using Deep Convolutional Neural Networks.
Proceedings of the Studierendenkonferenz Informatik, 2018


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