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TEC. 2. OBJECTIVES: The NeuroEngineering Laboratory at C-BER has extensive experience in biomedical image analysis from different clinical contexts, ranging from the analysis of motor seizures in
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, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models integration and analysis of data from wearable and clinical monitoring devices and clinical
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pre-processing, including background correction and normalization.; • Develop algorithms for spectral feature extraction and chemical map generation from LIBS data.; • Apply multivariate analysis and
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