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A neural-based remote eye gaze tracker under natural head motion., , , и . Comput. Methods Programs Biomed., 92 (1): 66-78 (2008)A neural approach to extract foreground from human movement images., , , и . Comput. Methods Programs Biomed., 82 (1): 73-80 (2006)Optimal estimation of power spectral density by means of a time-varying autoregressive approach., и . Signal Process., 72 (1): 1-14 (1999)SVM versus MAP on Accelerometer Data to Distinguish among Locomotor Activities Executed at Different Speeds., , , , , , , и . Comput. Math. Methods Medicine, (2013)Quantitative color analysis for capillaroscopy image segmentation., , , , , и . Medical Biol. Eng. Comput., 50 (6): 567-574 (2012)Using the frequency signature to detect muscular activity in weak and noisy myoelectric signals., , , и . Biomed. Signal Process. Control., (2019)Can a Visual Biofeedback system based on predictive information improve postural performance?, , , , , и . EMBC, стр. 6951-6954. IEEE, (2015)A novel Sensitivity Index from the Flow Velocity Variation in Quality Control for PW Doppler: a preliminary study., , , , , , и . MeMeA, стр. 1-6. IEEE, (2021)A Neural Network Embedded System for Real-time Estimation of Muscle Forces., , , , и . ICCS, том 51 из Procedia Computer Science, стр. 60-69. Elsevier, (2015)Mr Image Processing to Predict Complete Responders by Evaluating the Tumor Regression Grade: A Sensitivity Analysis., , , , , , и . EUVIP, стр. 222-227. IEEE, (2019)