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Manuel Pérez-Pelegrí
Manuel Pérez-Pelegrí
Other namesManuel Perez-Pelegri, M Pérez Pelegrí
Lincbiotech SL / Universitat Politècnica de Valencia
Verified email at lincbiotech.com
Title
Cited by
Cited by
Year
Automatic left ventricle volume calculation with explainability through a deep learning weak-supervision methodology
M Pérez-Pelegrí, JV Monmeneu, MP López-Lereu, L Pérez-Pelegrí, ...
Computer Methods and Programs in Biomedicine 208, 106275, 2021
152021
Higher agreement in endovascular treatment decision-making than in parametric quantifications among automated CT perfusion software packages in acute ischemic stroke
M Pérez-Pelegrí, C Biarnés, S Thió-Henestrosa, S Remollo, A Gimeno, ...
Journal of X-Ray Science and Technology 29 (5), 823-834, 2021
102021
PSPU-net for automatic short axis cine MRI segmentation of left and right ventricles
M Pérez-Pelegrí, JV Monmeneu, MP Lόpez-Lereu, S Ruiz-España, ...
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020
62020
Synthetic generation of cardiac mr images combining convolutional variational autoencoders and style transfer
JM Jaén-Lorites, M Pérez-Pelegrí, V Laparra, MP López-Lereu, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
42022
End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions
M Pérez-Pelegrí, JV Monmeneu, MP López-Lereu, AM Maceira, V Bodi, ...
Computerized Medical Imaging and Graphics 99, 102085, 2022
22022
Acute Infarct Volume Prediction Based on CT Perfusion Metrics Derived from an Automated Software Package using Machine Learning Models
M Pérez-Pelegrí, J Puig, JS Ruiz-Constantino
2021 International Conference on e-Health and Bioengineering (EHB), 1-4, 2021
12021
Deep Learning Segmentation of Lower Extremities Radiographs for an Automatic Leg Length Discrepancy Measurement
B Sastre-García, M Pérez-Pelegrí, JAR Martín, JM Santabárbara, ...
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
2023
Deep Learning-Based Predictive Model for Revascularization of Chronic Total Occlusions on Angiographic Imaging
S Pérez-Martínez, A Fernández-Cisnal, M Pérez-Pelegrí, S García-Blas, ...
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
2023
Applications of Deep Leaning on Cardiac MRI: Design Approaches for a Computer Aided Diagnosis
M Pérez Pelegrí
Universitat Politècnica de València, 2023
2023
Convolutional Neural Networks for Segmentation in Short-Axis Cine Cardiac Magnetic Resonance Imaging: Review and Considerations
M Pérez-Pelegrí, JV Monmeneu, MP López-Lereu, D Moratal
Convolutional Neural Networks for Medical Image Processing Applications, 1-33, 2022
2022
Towards the identification and optimization of the “dose-response” relationship of transcranial direct current stimulation
R Salvador, MC Biagi, MP Pelegrí, J Zhou, T Travison, A Pascual-Leone, ...
bioRxiv, 2022.01. 22.477353, 2022
2022
UNDERSTANDING THE STYLE TRANSFER DEEP-LEARNING TECHNIQUE THROUGH A WEB DASHBOARD
JM Jaén-Lorites, M Pérez-Pelegrí, V Laparra, D Moratal
INTED2022 Proceedings, 8914-8919, 2022
2022
MÁSTER UNIVERSITARIO EN CIENCIA DE DATOS
JMJ LORITES, VL PÉREZ-MUELAS, MP PELEGRÍ, DM PÉREZ
2022
Desarrollo de un modelo para la predicción de la evolución de la extensión del infarto cerebral mediante técnicas de inteligencia artificial y el análisis de imágenes médicas
S Pérez Herrero
Universitat Politècnica de València, 2021
2021
Desarrollo de un modelo predictivo basado en redes neuronales convolucionales para el diagnóstico automático de la miocardiopatía hipertrófica y de la amiloidosis a partir del …
L Miró Mezquita
Universitat Politècnica de València, 2021
2021
Desarrollo de un método de diagnóstico automático de la miocardiopatía hipertensiva y la amiloidosis a partir del análisis de imágenes de resonancia magnética cardíaca mediante …
CO Andión García
Universitat Politècnica de València, 2021
2021
Análisis de imágenes de resonancia magnética de rodilla para la obtención de parámetros que permitan caracterizar el estado del cartílago articular
M Pérez Pelegrí
Universitat Politècnica de València, 2016
2016
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Articles 1–17