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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 ... -
Real-time detection of acromegaly from facial images with artificial intelligence
(Oxford University Press (OUP), 2023)Objective Despite improvements in diagnostic methods, acromegaly is still a late-diagnosed disease. In this study, it was aimed to automatically recognize acromegaly disease from facial images by using deep learning methods ...