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Deep learning prediction of motor performance in stroke individuals using neuroimaging data
(Elsevier Science Direct, 12/04/2023)
The degree of motor impairment and profile of recovery after stroke are difficult to predict for each individual. Measures obtained from clinical assessments, as well as neurophysiological and neuroimaging techniques have ...
Improving Brain Tumor Classification with Deep Learning Using Synthetic Data
(Tech Science Press, 2023)
Deep learning (DL) techniques, which do not need complex pre-processing and feature analysis, are used in many areas of medicine and achieve promising results. On the other hand, in medical studies, a limited dataset ...