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Classification of SD-OCT volumes with multi pyramids, LBP and HOG descriptors: Application to DME detections.

, , , , , , , , , and . EMBC, page 1344-1347. IEEE, (2016)

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Classification of SD-OCT volumes for DME detection: an anomaly detection approach., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97852O. SPIE, (2016)Classification of SD-OCT volumes with multi pyramids, LBP and HOG descriptors: Application to DME detections., , , , , , , , , and . EMBC, page 1344-1347. IEEE, (2016)Cerebral neural correlates of differential melanopic photic stimulation in humans., , , , , , , , , and 1 other author(s). NeuroImage, (2017)An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images., , , , , , , , , and 1 other author(s). Comput. Methods Programs Biomed., (2017)Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter, , , and . (2018)cite arxiv:1810.05874Comment: This work has been submitted to "Therapeutic Advances in Ophthalmology" for possible publication 17 pages, 5 figures.3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen., , , , , , , , , and . CoRR, (2021)