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Multimedia data mining for automatic diabetic retinopathy screening., , , , , , , and . EMBC, page 7144-7147. IEEE, (2013)Surgical tool detection in cataract surgery videos through multi-image fusion inside a convolutional neural network., , , , and . EMBC, page 2002-2005. IEEE, (2017)Normalizing videos of anterior eye segment surgeries., , , , and . EMBC, page 122-125. IEEE, (2014)A Polynomial Model of Surgical Gestures for Real-Time Retrieval of Surgery Videos., , , , , and . MCBR-CDS, volume 7723 of Lecture Notes in Computer Science, page 10-20. Springer, (2012)A general framework for detecting diabetic retinopathy lesions in eye fundus images., , , , , , , and . CBMS, page 1-6. IEEE Computer Society, (2012)Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading., , , , , , and . OMIA@MICCAI, volume 13576 of Lecture Notes in Computer Science, page 63-72. Springer, (2022)Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning., , , , , , and . OMIA@MICCAI, volume 12970 of Lecture Notes in Computer Science, page 11-20. Springer, (2021)Detection of lesions in retina photographs based on the wavelet transform., , , , , and . EMBC, page 2618-2621. IEEE, (2006)Smart data augmentation for surgical tool detection on the surgical tray., , , and . EMBC, page 4407-4410. IEEE, (2017)LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression., , , , , , , , , and 2 other author(s). CoRR, (2024)