Marcel Beetz - RankMe

39 papers Journal 21Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction. Medical Image Anal. Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau
2026	J	`jnl`	An automated computational pipeline for generating large-scale cohorts of patient-specific ventricular models in electromechanical in silico trials. Comput. Methods Programs Biomed. Rubén Doste, Julià Camps, Zhinuo Jenny Wang, Lucas Arantes Berg, Maxx Holmes, Hannah J. Smith, Marcel Beetz, Lei Li, Abhirup Banerjee, Vicente Grau, Blanca Rodríguez
2025	J	`jnl`	3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models. CoRR Jolanta Mozyrska, Marcel Beetz, Luke Melas-Kyriazi, Vicente Grau, Abhirup Banerjee, Alfonso Bueno-Orovio
2025	J	`jnl`	3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis. Comput. Medical Imaging Graph. Marcel Beetz, Abhirup Banerjee, Lei Li, Julià Camps, Blanca Rodríguez, Vicente Grau
2025	—	`conf`	An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-task Learning. MICCAI (14) Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau
2025	J	`jnl`	An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials. CoRR Rubén Doste, Julià Camps, Zhinuo Jenny Wang, Lucas Arantes Berg, Maxx Holmes, Hannah J. Smith, Marcel Beetz, Lei Li, Abhirup Banerjee, Vicente Grau, Blanca Rodríguez
2025	J	`jnl`	Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction. Frontiers Digit. Health Yuling Sang, Abhirup Banerjee, Marcel Beetz, Vicente Grau
2025	J	`jnl`	Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction. IEEE Trans. Big Data Chen Chen, Lei Li, Marcel Beetz, Abhirup Banerjee, Ramneek Gupta, Vicente Grau
2024	J	`jnl`	Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction. CoRR Chen Chen, Lei Li, Marcel Beetz, Abhirup Banerjee, Ramneek Gupta, Vicente Grau
2024	J	`jnl`	Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks. IEEE J. Biomed. Health Informatics Marcel Beetz, Abhirup Banerjee, Vicente Grau
2024	—	`conf`	Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders. ISBI Thalia Seale, Marcel Beetz, Blanca Rodríguez, Vicente Grau, Abhirup Banerjee
2024	J	`jnl`	Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. IEEE Trans. Medical Imaging Lei Li, Julià Camps, Zhinuo Jenny Wang, Marcel Beetz, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau
2023	—	`conf`	3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. EMBC Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau
2023	J	`jnl`	3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. CoRR Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau
2023	J	`jnl`	Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction. CoRR Hannah J. Smith, Blanca Rodríguez, Yuling Sang, Marcel Beetz, Robin Choudhury, Vicente Grau, Abhirup Banerjee
2023	J	`jnl`	Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 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
2023	—	`conf`	Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net. STACOM@MICCAI Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau
2023	J	`jnl`	Modeling 3D cardiac contraction and relaxation with point cloud deformation networks. CoRR Marcel Beetz, Abhirup Banerjee, Vicente Grau
2023	J	`jnl`	Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images. CoRR Marcel Beetz, Abhirup Banerjee, Julius Ossenberg-Engels, Vicente Grau
2023	J	`jnl`	Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images. Medical Image Anal. Marcel Beetz, Abhirup Banerjee, Julius Ossenberg-Engels, Vicente Grau
2023	—	`conf`	Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction. MICCAI (2) Marcel Beetz, Abhirup Banerjee, Vicente Grau
2023	J	`jnl`	Multi-objective point cloud autoencoders for explainable myocardial infarction prediction. CoRR Marcel Beetz, Abhirup Banerjee, Vicente Grau
2023	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 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
2023	J	`jnl`	Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. CoRR Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau
2022	—	`conf`	Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders. ISBI Marcel Beetz, Abhirup Banerjee, Yuling Sang, Vicente Grau
2022	—	`conf`	Deep Computational Model for the Inference of Ventricular Activation Properties. STACOM@MICCAI Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau
2022	J	`jnl`	Deep Computational Model for the Inference of Ventricular Activation Properties. CoRR Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau
2022	—	`conf`	Generation of 12-Lead Electrocardiogram with Subject-Specific, Image-Derived Characteristics Using a Conditional Variational Autoencoder. ISBI Yuling Sang, Marcel Beetz, Vicente Grau
2022	—	`conf`	Mesh U-Nets for 3D Cardiac Deformation Modeling. STACOM@MICCAI 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
2022	—	`conf`	Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction. STACOM@MICCAI Marcel Beetz, Abhirup Banerjee, Vicente Grau
2022	—	`conf`	Post-Infarction Risk Prediction with Mesh Classification Networks. STACOM@MICCAI 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
2022	—	`conf`	Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets. GeoMedIA Marcel Beetz, Abhirup Banerjee, Vicente Grau
2022	—	`conf`	Semi-Supervised Coronary Vessels Segmentation from Invasive Coronary Angiography with Connectivity-Preserving Loss Function. ISBI Haorui He, Abhirup Banerjee, Marcel Beetz, Robin P. Choudhury, Vicente Grau
2021	—	`conf`	A Multi-view Crossover Attention U-Net Cascade with Fourier Domain Adaptation for Multi-domain Cardiac MRI Segmentation. STACOM@MICCAI Marcel Beetz, Jorge Corral Acero, Vicente Grau
2021	—	`conf`	Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks. ISBI Marcel Beetz, Abhirup Banerjee, Vicente Grau
2021	—	`conf`	Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders. STACOM@MICCAI Marcel Beetz, Abhirup Banerjee, Vicente Grau
2021	—	`conf`	Predicting 3D Cardiac Deformations with Point Cloud Autoencoders. STACOM@MICCAI Marcel Beetz, Julius Ossenberg-Engels, Abhirup Banerjee, Vicente Grau
2019	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). CoRR 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
2018	—	`conf`	Automatic Aortic Wall Segmentation and Plaque Detection using Deep Convolutional Neural Networks. SKILL Marcel Beetz