Marcel Beetz

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Surface Reconstruction

Myocardial Infarction

Magnetic Resonance Images

Top Venues

Medical Image Anal.

Publications

Marcel Beetz, Abhirup Banerjee, Vicente Grau
Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Lei Li, Julià Camps, Zhinuo Jenny Wang, Marcel Beetz, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. IEEE Trans. Medical Imaging 43 (7) (2024)
Chen Chen, Lei Li, Marcel Beetz, Abhirup Banerjee, Ramneek Gupta, Vicente Grau
Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction. CoRR (2024)
Marcel Beetz, Abhirup Banerjee, Vicente Grau
Multi-objective point cloud autoencoders for explainable myocardial infarction prediction. CoRR (2023)
Marcel Beetz, Abhirup Banerjee, Vicente Grau
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks. CoRR (2023)
Hannah J. Smith, Blanca Rodríguez, Yuling Sang, Marcel Beetz, Robin Choudhury, Vicente Grau, Abhirup Banerjee
Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction. CoRR (2023)
Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. CoRR (2023)
Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. EMBC (2023)
Marcel Beetz, Abhirup Banerjee, Julius Ossenberg-Engels, Vicente Grau
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images. Medical Image Anal. 90 (2023)
Marcel Beetz, Abhirup Banerjee, Julius Ossenberg-Engels, Vicente Grau
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images. CoRR (2023)
Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Marcel Beetz, Abhirup Banerjee, Vicente Grau
Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction. MICCAI (2) (2023)
Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. CoRR (2023)
Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau
Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net. STACOM@MICCAI (2023)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau
Deep Computational Model for the Inference of Ventricular Activation Properties. CoRR (2022)
Marcel Beetz, Abhirup Banerjee, Yuling Sang, Vicente Grau
Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders. ISBI (2022)
Marcel Beetz, Abhirup Banerjee, Vicente Grau
Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets. GeoMedIA (2022)
Marcel Beetz, Abhirup Banerjee, Vicente Grau
Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction. STACOM@MICCAI (2022)
Yuling Sang, Marcel Beetz, Vicente Grau
Generation of 12-Lead Electrocardiogram with Subject-Specific, Image-Derived Characteristics Using a Conditional Variational Autoencoder. ISBI (2022)
Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau
Deep Computational Model for the Inference of Ventricular Activation Properties. STACOM@MICCAI (2022)
Haorui He, Abhirup Banerjee, Marcel Beetz, Robin P. Choudhury, Vicente Grau
Semi-Supervised Coronary Vessels Segmentation from Invasive Coronary Angiography with Connectivity-Preserving Loss Function. ISBI (2022)
Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, Sören J. Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Andreas Schuster, Vicente Grau
Post-Infarction Risk Prediction with Mesh Classification Networks. STACOM@MICCAI (2022)
Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, Sören J. Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Andreas Schuster, Vicente Grau
Mesh U-Nets for 3D Cardiac Deformation Modeling. STACOM@MICCAI (2022)
Marcel Beetz, Julius Ossenberg-Engels, Abhirup Banerjee, Vicente Grau
Predicting 3D Cardiac Deformations with Point Cloud Autoencoders. STACOM@MICCAI (2021)
Marcel Beetz, Jorge Corral Acero, Vicente Grau
A Multi-view Crossover Attention U-Net Cascade with Fourier Domain Adaptation for Multi-domain Cardiac MRI Segmentation. STACOM@MICCAI (2021)
Marcel Beetz, Abhirup Banerjee, Vicente Grau
Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks. ISBI (2021)
Marcel Beetz, Abhirup Banerjee, Vicente Grau
Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders. STACOM@MICCAI (2021)
Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze
The Liver Tumor Segmentation Benchmark (LiTS). CoRR (2019)
Marcel Beetz
Automatic Aortic Wall Segmentation and Plaque Detection using Deep Convolutional Neural Networks. SKILL (2018)