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Palabras clave – provistas por la editorial

tremor; essential tremor; ataxia; finger–nose–finger test; H&E; decellularization; liver; tissue engineering; semantic segmentation; convolutional neural networks; segmentation; lung; CT image; U-Net; ResNet-34; BConvLSTM; magnetic resonance images; brain tissue segmentation; multi-scale feature learning; multi-branch pooling; multi-branch dense prediction; multi-branch output; delay-and-sum (DAS); delay-multiply-and-sum (DMAS); signal coherence; power doppler detection; plane-wave (PW) imaging; complementary subset transmit (CST); coherent plane-wave compounding (CPWC); robotic cell manipulation; mechanical properties; elasticity measurement; viscosity measurement; cell mechanics; hemoglobin sensor; bladder irrigation monitor; absorption near infrared; artificial intelligence; bubble detection; exercise; EEG; EMG; ECG; brain activity; age; exercise habit; tinnitus; auditory discrimination therapy; EEG evaluation; event-related synchronization; event-related desynchronization; convolutional neural network; image registration; cycle constraint; multimodal features; self-supervision; rigid alignment; magnetic resonance fingerprinting; echo-planar imaging; T1 and T2* relaxation times; denoising convolutional neural network; self-attention; feature pyramid network; image processing; object detection; blind; braille system; 3D body shapes; body weights and measures; postpartum period; pregnancy period; anthropometry; machine learning; vital sign; invasive blood pressure; feature engineering; hypotension; arterial hypotension