PSPU-Net for Automatic Short Axis Cine MRI Segmentation of Left and Right Ventricles. - Manuel Pérez-Pelegrí; José Vicente Monmeneu; María Pilar López-Lereu; Silvia Ruiz-España; Irene Del-Canto; Vicente Bodí; David Moratal (BIBE, 2020)

Automatic left ventricle volume calculation with explainability through a deep learning weak-supervision methodology. - Manuel Pérez-Pelegrí; José Vicente Monmeneu; María Pilar López-Lereu; Lucía Pérez-Pelegrí; Alicia M. Maceira; Vicente Bodí; David Moratal (Comput. Methods Programs Biomed., 2021)

Synthetic Generation of Cardiac MR Images Combining Convolutional Variational Autoencoders and Style Transfer. - José Manuel Jaén-Lorites; Manuel Pérez-Pelegrí; Valero Laparra; María Pilar López-Lereu; José Vicente Monmeneu; Alicia M. Maceira; David Moratal (EMBC, 2022)

End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions. - Manuel Pérez-Pelegrí; José Vicente Monmeneu; María Pilar López-Lereu; Alicia M. Maceira; Vicente Bodí; David Moratal (Comput. Medical Imaging Graph., 2022)

Deep Learning-Based Predictive Model for Revascularization of Chronic Total Occlusions on Angiographic Imaging. - Sara Pérez-Martínez; Agustín Fernández-Cisnal; Manuel Pérez-Pelegrí; Sergio García-Blas; Gema Miñana; Ernesto Valero; Juan Manuel Sanchis; David Moratal (EMBC, 2023)

Deep Learning Segmentation of Lower Extremities Radiographs for an Automatic Leg Length Discrepancy Measurement. - Blanca Sastre-García; Manuel Pérez-Pelegrí; Juan Antonio Romero Martín; José Manuel Santabárbara; David Moratal (EMBC, 2023)

Generating Realistic Cardiac MR Images Using Diffusion Models. - Javier Urcia-Vázquez; Manuel Pérez-Pelegrí; José Vicente Monmeneu; María Pilar López-Lereu; José Manuel Santabárbara; Alicia M. Maceira; David Moratal (EMBC, 2024)