Search Results - Bermejo-Pelaez, D.

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  1. 1
    Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images

    Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images by Nardelli, P., Jimenez-Carretero, D., Bermejo-Pelaez, D., Ledesma-Carbayo, M.J., Rahaghi, Farbod N., San Jose Estepar, R.

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  2. 2
    A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation

    A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation by Bermejo-Pelaez, D., Okajima, Y., Washko, G. R., Ledesma-Carbayo, M. J., Estepar, R. San Jose

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    P1732: EVALUATION OF A DIGITAL SYSTEM LEVERAGING MOBILE TECHNOLOGY AND ARTIFICIAL INTELLIGENCE FOR DIGITALIZATION, REMOTE ANALYSIS AND SUPPORTED DIFFERENTIAL CELL COUNT OF BONE MARROW ASPIRATES

    P1732: EVALUATION OF A DIGITAL SYSTEM LEVERAGING MOBILE TECHNOLOGY AND ARTIFICIAL INTELLIGENCE FOR DIGITALIZATION, REMOTE ANALYSIS AND SUPPORTED DIFFERENTIAL CELL COUNT OF BONE MAR... by Martínez López, J., Rueda Charro, S., Bermejo Peláez, D., Mousa Urbina, A., Trelles Martínez, R., García Roa, M., Bobes Fernández, A., Hidalgo Soto, M., Morales Fernández, M. L., Ortiz Ruiz, A., Rodríguez García, A., García Vicente, R., Blanco Sánchez, A., Ayala Diaz, R., Lin, L., Álamo García‐Donas, E., Dacal Picazo, E., Luengo Oroz, M., Linares Gómez, M.

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  4. 4
    Learning Breast Tissue Prone-To-Supine Displacement for Surgical Planning with Convolutional Neural Networks

    Learning Breast Tissue Prone-To-Supine Displacement for Surgical Planning with Convolutional Neural Networks by Alfano, F., Bermejo-Pelaez, D., Cordero-Grande, L., Garcia, K. Ferreres, Ortuno Fisac, J.E., Zamora, O. Bueno, Lizarraga, S., Santos, A., Pascau, J., Ledesma-Carbayo, M.J.

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