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ORCIDMarcel Beetz
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2020 – today
- 2024
[j5]Marcel Beetz
, Abhirup Banerjee, Vicente Grau:
Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks. IEEE J. Biomed. Health Informatics 28(8): 4810-4819 (2024)- [j4]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): 2466-2478 (2024) - [c17]Thalia Seale, Marcel Beetz, Blanca Rodríguez, Vicente Grau, Abhirup Banerjee:
Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders. ISBI 2024: 1-5 - [i9]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 abs/2403.10581 (2024) - 2023
- [j3]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: 102680 (2023) - [j2]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: 102975 (2023) - [j1]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): 3302-3313 (2023) - [c16]Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau:
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. EMBC 2023: 1-4 - [c15]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction. MICCAI (2) 2023: 532-542 - [c14]Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau:
Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net. STACOM@MICCAI 2023: 163-173 - [i8]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 abs/2307.04421 (2023) - [i7]Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau:
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. CoRR abs/2307.07298 (2023) - [i6]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 abs/2307.08535 (2023) - [i5]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks. CoRR abs/2307.10927 (2023) - [i4]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Multi-objective point cloud autoencoders for explainable myocardial infarction prediction. CoRR abs/2307.11017 (2023) - [i3]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 abs/2312.13976 (2023) - 2022
- [c13]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets. GeoMedIA 2022: 3-14 - [c12]Marcel Beetz, Abhirup Banerjee, Yuling Sang, Vicente Grau:
Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders. ISBI 2022: 1-4 - [c11]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: 1-5 - [c10]Yuling Sang, Marcel Beetz, Vicente Grau:
Generation of 12-Lead Electrocardiogram with Subject-Specific, Image-Derived Characteristics Using a Conditional Variational Autoencoder. ISBI 2022: 1-5 - [c9]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: 245-257 - [c8]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction. STACOM@MICCAI 2022: 280-290 - [c7]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: 291-301 - [c6]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: 369-380 - [i2]Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau:
Deep Computational Model for the Inference of Ventricular Activation Properties. CoRR abs/2208.04028 (2022) - 2021
- [c5]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks. ISBI 2021: 105-109 - [c4]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders. STACOM@MICCAI 2021: 75-83 - [c3]Marcel Beetz, Julius Ossenberg-Engels, Abhirup Banerjee, Vicente Grau:
Predicting 3D Cardiac Deformations with Point Cloud Autoencoders. STACOM@MICCAI 2021: 219-228 - [c2]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: 323-334
2010 – 2019
- 2019
- [i1]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 abs/1901.04056 (2019) - 2018
- [c1]Marcel Beetz:
Automatic Aortic Wall Segmentation and Plaque Detection using Deep Convolutional Neural Networks. SKILL 2018: 157-168
Coauthor Index
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