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Results: 4
Number of items: 4
  • Open Access
    Schwartz, R., Khalid, H., Liakopoulos, S., Ouyang, Y., de Vente, C., González-Gonzalo, C., Lee, A. Y., Guymer, R., Chew, E. Y., Egan, C., Wu, Z., Kumar, H., Farrington, J., Müller, P. L., Sánchez, C. I., & Tufail, A. (2022). A Deep Learning Framework for the Detection and Quantification of Reticular Pseudodrusen and Drusen on Optical Coherence Tomography. Translational vision science & technology, 11(12), Article 3. https://doi.org/10.1167/tvst.11.12.3
  • Open Access
    González-Gonzalo, C., Thee, E. F., Klaver, C. C. W., Lee, A. Y., Schlingemann, R. O., Tufail, A., Verbraak, F., & Sánchez, C. I. (2022). Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice. Progress in Retinal and Eye Research, 90, Article 101034. https://doi.org/10.1016/j.preteyeres.2021.101034
  • Open Access
    Bortsova, G., González-Gonzalo, C., Wetstein, S. C., Dubost, F., Katramados, I., Hogeweg, L., Liefers, B., van Ginneken, B., Pluim, J. P. W., Veta, M., Sánchez, C. I., & de Bruijne, M. (2021). Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Analysis, 73, Article 102141. https://doi.org/10.1016/j.media.2021.102141
  • Open Access
    González-Gonzalo, C., Liefers, B., van Ginneken, B., & Sánchez, C. I. (2020). Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images. IEEE Transactions on Medical Imaging, 39(11), 3499-3511. https://doi.org/10.1109/TMI.2020.2994463
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