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ORCIDManuel Pérez-Pelegrí
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2020 – today
- 2023
[c4]Sara Pérez-Martínez, Agustín Fernández-Cisnal, Manuel Pérez-Pelegrí, Sergio García-Blas
, Gema Miñana, Ernesto Valero, Juan Manuel Sanchis, David Moratal:
Deep Learning-Based Predictive Model for Revascularization of Chronic Total Occlusions on Angiographic Imaging. EMBC 2023: 1-4- [c3]Blanca Sastre-García, Manuel Pérez-Pelegrí, Juan Antonio Romero Martín, José Manuel Santabárbara, David Moratal:
Deep Learning Segmentation of Lower Extremities Radiographs for an Automatic Leg Length Discrepancy Measurement. EMBC 2023: 1-4 - 2022
- [j2]Manuel Pérez-Pelegrí, José Vicente Monmeneu, María Pilar López-Lereu, Alicia M. Maceira, Vicente Bodí, David Moratal:
End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions. Comput. Medical Imaging Graph. 99: 102085 (2022) - [c2]José Manuel Jaén-Lorites, Manuel Pérez-Pelegrí, Valero Laparra, María Pilar López-Lereu, José Vicente Monmeneu, Alicia M. Maceira, David Moratal:
Synthetic Generation of Cardiac MR Images Combining Convolutional Variational Autoencoders and Style Transfer. EMBC 2022: 2084-2087 - 2021
- [j1]Manuel Pérez-Pelegrí, José Vicente Monmeneu, María Pilar López-Lereu, Lucía Pérez-Pelegrí, Alicia M. Maceira, Vicente Bodí, David Moratal:
Automatic left ventricle volume calculation with explainability through a deep learning weak-supervision methodology. Comput. Methods Programs Biomed. 208: 106275 (2021) - 2020
- [c1]Manuel Pérez-Pelegrí, José Vicente Monmeneu, María Pilar López-Lereu, Silvia Ruiz-España, Irene Del-Canto, Vicente Bodí, David Moratal:
PSPU-Net for Automatic Short Axis Cine MRI Segmentation of Left and Right Ventricles. BIBE 2020: 1048-1053
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