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Improving the generalization of deep learning methods to segment the left ventricle in short axis MR images., , , , and . EMBC, page 1203-1206. IEEE, (2020)Uma proposta de data lake para pesquisa em saúde a partir de data pools multicêntricos interoperáveis., , , and . SBBD, page 367-372. SBC, (2021)Automatic myocardium strain quantification in MR synthetic images with Deep Leaning., , , , and . EMBC, page 545-548. IEEE, (2022)IoT Medical Device Architecture to Estimate Non-invasive Arterial Blood Pressure., , , , , , and . SIoT, page 1-4. IEEE, (2022)Description of patellar movement by 3D parameters obtained from dynamic CT acquisition., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903538. SPIE, (2014)A general fully automated deep-learning method to detect cardiomegaly in chest x-rays., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images., , , , , and . EMBC, page 1238-1241. IEEE, (2020)2D Image-Based Atrial Fibrillation Classification., , , , , , and . CinC, page 1-4. IEEE, (2021)Automated radiographic bone suppression with deep convolutional neural networks., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural Networks., , , , , , , and . EMBC, page 1221-1224. IEEE, (2020)