SMOD - Data Augmentation Based on Statistical Models of Deformation to Enhance Segmentation in 2D Cine Cardiac MRI. - Jorge Corral Acero; Ernesto Zacur; Hao Xu; Rina Ariga; Alfonso Bueno-Orovio; Pablo Lamata; Vicente Grau (FIMH, 2019)

Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation. - Jorge Corral Acero; Hao Xu; Ernesto Zacur; Jürgen E. Schneider; Pablo Lamata; Alfonso Bueno-Orovio; Vicente Grau (STACOM@MICCAI, 2019)

A 2-Step Deep Learning Method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation. - Jorge Corral Acero; Vaanathi Sundaresan; Nicola K. Dinsdale; Vicente Grau; Mark Jenkinson (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

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)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

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)