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An adaptable deep learning system for optical character verification in retail food packaging.

, , , , , and . EAIS, page 1-8. IEEE, (2018)

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Automated detection of retinal landmarks for the identification of clinically relevant regions in fundus photography., , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978429. SPIE, (2016)Adversarial Policy Gradient for Deep Learning Image Augmentation., , , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 450-458. Springer, (2019)An adaptable deep learning system for optical character verification in retail food packaging., , , , , and . EAIS, page 1-8. IEEE, (2018)Adversarial Robust Training in MRI Reconstruction., , , and . CoRR, (2020)An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging., , , , , , , , and . ICIP, page 2376-2380. IEEE, (2018)Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning., , , , , , , , and . CoRR, (2020)A fluid-dynamic based approach to reconnect the retinal vessels in fundus photography., , , , , and . EMBC, page 360-364. IEEE, (2017)A new tool to connect blood vessels in fundus retinal images., , , and . EMBC, page 4343-4346. IEEE, (2015)The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset., , , , , , , , , and 19 other author(s). CoRR, (2020)A Deep Learning Approach to Anomaly Detection in Nuclear Reactors., , , , , , and . IJCNN, page 1-8. IEEE, (2018)