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A Supervised Approach to Robust Photoplethysmography Quality Assessment.

, , , , , , , , and . IEEE J. Biomed. Health Informatics, 24 (3): 649-657 (2020)

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Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment., , , , , , , , and . IEEE Access, (2021)Universal Access to eCall System., , , , and . DSAI, volume 27 of Procedia Computer Science, page 104-112. Elsevier, (2013)Photoplethysmography based atrial fibrillation detection: a review., , , , , , , , and . npj Digit. Medicine, (2020)Cardiovascular risk analysis by means of pulse morphology and clustering methodologies., , , , , , and . Comput. Methods Programs Biomed., 117 (2): 257-266 (2014)Exploring iconographic interface in emergency for deaf., , , and . ASSETS, page 245-246. ACM, (2011)Synthesizing 3D Lung CT scans with Generative Adversarial Networks., , , , , , and . EMBC, page 2033-2036. IEEE, (2022)Robustness Analysis of Deep Learning-Based Lung Cancer Classification Using Explainable Methods., , , , and . IEEE Access, (2022)Supervised learning methods for pathological arterial pulse wave differentiation: A SVM and neural networks approach., , and . Int. J. Medical Informatics, (2018)An Interpretable Approach for Lung Cancer Prediction and Subtype Classification using Gene Expression., , , , , and . EMBC, page 1707-1710. IEEE, (2021)Characterization of an Acoustic Based Device for Local Arterial Stiffness Assessment., , , , , , , , and . BIOSTEC (Selected Papers), volume 452 of Communications in Computer and Information Science, page 98-114. Springer, (2013)