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ORCIDJorge Rodríguez-Capitán
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2020 – today
- 2024
[j2]Ariadna Jiménez-Partinen
, Karl Thurnhofer-Hemsi, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Esteban J. Palomo:
Coronary Artery Disease Classification With Different Lesion Degree Ranges Based on Deep Learning. IEEE Access 12: 69229-69239 (2024)- [c2]Antonio Fernández-Rodríguez, Ezequiel López-Rubio, Pablo Torres-Salomón, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Miguel A. Molina-Cabello:
Enhancing Echocardiography Quality with Diffusion Neural Models. IWBBIO (2) 2024: 169-181 - [c1]Ariadna Jiménez-Partinen, Esteban J. Palomo, Karl Thurnhofer-Hemsi, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos:
Deep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques. IWINAC (2) 2024: 116-125 - [i2]Ariadna Jiménez-Partinen, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Manuel Jiménez-Navarro:
CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography. CoRR abs/2402.00570 (2024) - [i1]Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos:
Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning. CoRR abs/2402.00593 (2024) - 2021
- [j1]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, Simon Colreavy-Donnelly, David A. Elizondo, Luis Oala, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. IEEE Access 9: 85442-85454 (2021)
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