Abdominal Aortic Aneurysm Segmentation Using Convolutional Neural Networks Trained with Images Generated with a Synthetic Shape Model. - Karen López-Linares; Maialen Stephens; Inmaculada García; Iván Macía; Miguel Ángel González Ballester; Raúl San José Estépar (MLMECH/CVII-STENT@MICCAI, 2019)

MRI to CTA Translation for Pulmonary Artery Evaluation Using CycleGANs Trained with Unpaired Data. - Maialen Stephens; Raúl San José Estépar; Jesús Ruiz-Cabello; Ignacio Arganda-Carreras; Iván Macía; Karen López-Linares (TIA@MICCAI, 2020)

Fully Automatic Cardiac Segmentation And Quantification For Pulmonary Hypertension Analysis Using Mice Cine Mr Images. - Blanca Zufiria; Maialen Stephens; Maria Jesús Sánchez; Jesús Ruiz-Cabello; Karen López-Linares; Iván Macía (ISBI, 2021)

Unsupervised domain adaptation for the segmentation of breast tissue in mammography images. - Frances Ryan; Karen López-Linares Román; Blanca Zufiria Gerbolés; Kristin May Rebescher; Maialen Stephens Txurio; Rodrigo Cilla Ugarte; María Jesús García González; Iván Macía Oliver (Comput. Methods Programs Biomed., 2021)

Automatic Tool for Pulmonary Artery Hemodynamic Assessment from 4D flow MRI. - Javier Bóbeda; Haizea Erostarbe; Maialen Stephens; Ángel Gaitán; Rahul Kumar; Jorge Nuche; Irene Marco; Juan Delgado; Jesús Ruiz-Cabello; Karen López-Linares (ISBI, 2023)

Attri-VAE: Attribute-based interpretable representations of medical images with variational autoencoders. - Irem Cetin; Maialen Stephens; Oscar Camara 001; Miguel Ángel González Ballester (Comput. Medical Imaging Graph., 2023)