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Recommendation to Use Wearable-Based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients During the COVID-19 Pandemic.

, , , , , , , , , , , and . IEEE J. Biomed. Health Informatics, 25 (4): 903-908 (2021)

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Recommendation to Use Wearable-Based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients During the COVID-19 Pandemic., , , , , , , , , and 2 other author(s). IEEE J. Biomed. Health Informatics, 25 (4): 903-908 (2021)Tractography atlas-based spatial statistics: Statistical analysis of diffusion tensor image along fiber pathways., , , , and . NeuroImage, (2016)Automated brain volumetric measures with AccuBrain: version comparison in accuracy, reproducibility and application for diagnosis., , , and . BMC Medical Imaging, 22 (1): 117 (2022)Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features., , , , , , and . EMBC, page 7933-7936. IEEE, (2015)Comparison of Feature Selection Methods and Machine Learning Classifiers for Radiomics Analysis in Glioma Grading., , , and . IEEE Access, (2019)Neural evidence for long-term marriage shaping the functional brain network organization between couples., , , , , , , , , and 1 other author(s). NeuroImage, (2019)Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images., , , , , , , , and . Deep Learning for Medical Image Analysis, Academic Press, (2017)Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks., , , , , , , , and . IEEE Trans. Medical Imaging, 35 (5): 1182-1195 (2016)Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets., , , , , , , and . IEEE Trans. Med. Imaging, 37 (9): 2149-2160 (2018)Automatic detection of cerebral microbleeds via deep learning based 3D feature representation., , , , , and . ISBI, page 764-767. IEEE, (2015)