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Linear and Deformable Image Registration with 3D Convolutional Neural Networks.

, , , , , , and . RAMBO+BIA+TIA@MICCAI, volume 11040 of Lecture Notes in Computer Science, page 13-22. Springer, (2018)

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Performance Evaluation Methods of Computer Vision Systems for Meal Assessment., , and . MADiMa @ ACM Multimedia, page 83-87. ACM, (2016)GoCARB: A Smartphone Application for Automatic Assessment of Carbohydrate Intake., , and . MADiMa @ ACM Multimedia, page 91. ACM, (2016)Partially Supervised Multi-Task Network for Single-View Dietary Assessment., , and . ICPR, page 8156-8163. IEEE, (2020)Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy., , and . EMBC, page 3609-3612. IEEE, (2019)Gene - nutrition interactions in the onset of obesity as Cardiovascular Disease risk factor based on a computational intelligence method., , , , , , and . BIBE, page 1-6. IEEE, (2008)An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients., , , , , and . CoRR, (2020)Linear and Deformable Image Registration with 3D Convolutional Neural Networks., , , , , , and . RAMBO+BIA+TIA@MICCAI, volume 11040 of Lecture Notes in Computer Science, page 13-22. Springer, (2018)An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports., , , , , , , , , and 2 other author(s). ICCV (Workshops), page 2626-2635. IEEE, (2023)MADiMa '23: 8th International Workshop on Multimedia Assisted Dietary Management., , and . ACM Multimedia, page 9726-9727. ACM, (2023)SMARTDIAB: a communication and information technology approach for the intelligent monitoring, management and follow-up of type 1 diabetes patients., , , , , , , , , and 4 other author(s). IEEE Trans. Inf. Technol. Biomed., 14 (3): 622-633 (2010)