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Journal of Neural Engineering, Vol. 13, Iss. 1, 2016-02 ,pp. : 16010-16023

IOP Publishing

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Computer-aided diagnosis of Parkinson’s disease based on [¹²³I]FP-CIT SPECT binding potential images, using the voxels-as-features approach and support vector machines

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Controlling Thermal Softening Using Non-Local Temperature Field in Modelling

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Exploiting pallidal plasticity for stimulation in Parkinson’s disease

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Dominant efficiency of nonregular patterns of subthalamic nucleus deep brain stimulation for Parkinson’s disease and obsessive-compulsive disorder in a data-driven computational model

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