Automatic Aortic Wall Segmentation and Plaque Detection using Deep Convolutional Neural Networks. - Marcel Beetz (SKILL, 2018)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks. - Marcel Beetz; Abhirup Banerjee; Vicente Grau (ISBI, 2021)

A Multi-view Crossover Attention U-Net Cascade with Fourier Domain Adaptation for Multi-domain Cardiac MRI Segmentation. - Marcel Beetz; Jorge Corral Acero; Vicente Grau (STACOM@MICCAI, 2021)

Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders. - Marcel Beetz; Abhirup Banerjee; Vicente Grau (STACOM@MICCAI, 2021)

Predicting 3D Cardiac Deformations with Point Cloud Autoencoders. - Marcel Beetz; Julius Ossenberg-Engels; Abhirup Banerjee; Vicente Grau (STACOM@MICCAI, 2021)

Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets. - Marcel Beetz; Abhirup Banerjee; Vicente Grau (GeoMedIA, 2022)

Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders. - Marcel Beetz; Abhirup Banerjee; Yuling Sang; Vicente Grau (ISBI, 2022)

Semi-Supervised Coronary Vessels Segmentation from Invasive Coronary Angiography with Connectivity-Preserving Loss Function. - Haorui He; Abhirup Banerjee; Marcel Beetz; Robin P. Choudhury; Vicente Grau (ISBI, 2022)

Generation of 12-Lead Electrocardiogram with Subject-Specific, Image-Derived Characteristics Using a Conditional Variational Autoencoder. - Yuling Sang; Marcel Beetz; Vicente Grau (ISBI, 2022)

Mesh U-Nets for 3D Cardiac Deformation Modeling. - 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; et al. (STACOM@MICCAI, 2022)

Post-Infarction Risk Prediction with Mesh Classification Networks. - 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; et al. (STACOM@MICCAI, 2022)

Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction. - Marcel Beetz; Abhirup Banerjee; Vicente Grau (STACOM@MICCAI, 2022)

Deep Computational Model for the Inference of Ventricular Activation Properties. - Lei Li 020; Julià Camps; Abhirup Banerjee; Marcel Beetz; Blanca Rodríguez; Vicente Grau (STACOM@MICCAI, 2022)

3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. - Marcel Beetz; Yilong Yang 004; Abhirup Banerjee; Lei Li 020; Vicente Grau (EMBC, 2023)

Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction. - Marcel Beetz; Abhirup Banerjee; Vicente Grau (MICCAI (2), 2023)

Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net. - Jiachuan Peng; Marcel Beetz; Abhirup Banerjee; Min Chen; Vicente Grau (STACOM@MICCAI, 2023)

Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. - Lei Li 020; Julià Camps; Zhinuo J. Wang; Abhirup Banerjee; Marcel Beetz; Blanca Rodríguez; Vicente Grau (CoRR, 2023)

Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction. - Hannah J. Smith; Blanca Rodríguez; Yuling Sang; Marcel Beetz; Robin Choudhury; Vicente Grau; Abhirup Banerjee (CoRR, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. - 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 020; Xiaowu Sun; et al. (IEEE J. Biomed. Health Informatics, 2023)

Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images. - Marcel Beetz; Abhirup Banerjee; Julius Ossenberg-Engels; Vicente Grau (Medical Image Anal., 2023)

Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders. - Thalia Seale; Marcel Beetz; Blanca Rodríguez; Vicente Grau; Abhirup Banerjee (ISBI, 2024)

Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. - Lei Li 020; Julià Camps; Zhinuo Jenny Wang; Marcel Beetz; Abhirup Banerjee; Blanca Rodríguez; Vicente Grau (IEEE Trans. Medical Imaging, 2024)

Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks. - Marcel Beetz; Abhirup Banerjee; Vicente Grau (IEEE J. Biomed. Health Informatics, 2024)

3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis. - Marcel Beetz; Abhirup Banerjee; Lei Li 020; Julià Camps; Blanca Rodríguez; Vicente Grau (Comput. Medical Imaging Graph., 2025)

Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction. - Yuling Sang; Abhirup Banerjee; Marcel Beetz; Vicente Grau (Frontiers Digit. Health, 2025)

An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials. - Rubén Doste; Julià Camps; Zhinuo Jenny Wang; Lucas Arantes Berg; Maxx Holmes; Hannah J. Smith; Marcel Beetz; Lei Li 020; Abhirup Banerjee; Vicente Grau; Blanca Rodríguez (CoRR, 2025)

Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction. - Chen Chen 042; Lei Li 020; Marcel Beetz; Abhirup Banerjee; Ramneek Gupta; Vicente Grau (IEEE Trans. Big Data, 2025)