Dexing Kong

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BACKGROUND In recent years, neuroimaging has been increasingly used as an objective method for the diagnosis of Parkinson's disease (PD). Most previous studies were based on invasive imaging modalities or on a single modality which was not an ideal diagnostic tool. In this study, we developed a non-invasive technology intended for use in the diagnosis of(More)
Interface evolution problems are often solved elegantly by the level set method, which generally requires the time-consuming reinitialization process. In order to avoid reinitialization, we reformulate the vari-ational model as a constrained optimization problem. Then we present an augmented Lagrangian method and a projection Lagrangian method to solve the(More)
This paper presents a new version of Dropout called Split Dropout (sDropout) and rotational convolution techniques to improve CNNs' performance on image classification. The widely used standard Dropout has advantage of preventing deep neural networks from overfitting by randomly dropping units during training. Our sDropout randomly splits the data into two(More)
OBJECTIVE To examine the age, sex, and hemispheric differences in volume of the striatum by MRI in healthy adults. METHODS The volumes of the bilateral caudate nucleus and putamen were measured on MR images in 100 healthy right-handed adults (18-70 y). RESULTS The volume of bilateral caudate nucleus and putamen in healthy adults was (8.42 +/-0.88) cm(3)(More)
OBJECTIVE To investigate the role of activated brain regions in Parkinson's disease (PD) during tactile stimulation. METHODS Twenty-one patients with early PD[mean age (60.43 +/-9.65)y] and twenty-two age-matched healthy controls [mean age (59.23 +/-11.12)y] were enrolled in the study. All the patients were tested by the United Parkinson Disease Rating(More)