AIMC Topic: Magnetic Resonance Imaging

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Machine learning of structural magnetic resonance imaging predicts psychopathic traits in adolescent offenders.

NeuroImage
Classification models are becoming useful tools for finding patterns in neuroimaging data sets that are not observable to the naked eye. Many of these models are applied to discriminating clinical groups such as schizophrenic patients from healthy co...

Classification of first-episode psychosis in a large cohort of patients using support vector machine and multiple kernel learning techniques.

NeuroImage
First episode psychosis (FEP) patients are of particular interest for neuroimaging investigations because of the absence of confounding effects due to medications and chronicity. Nonetheless, imaging data are prone to heterogeneity because for exampl...

Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching.

IEEE transactions on medical imaging
Automatic and reliable segmentation of the prostate is an important but difficult task for various clinical applications such as prostate cancer radiotherapy. The main challenges for accurate MR prostate localization lie in two aspects: (1) inhomogen...

Predicting healthy older adult's brain age based on structural connectivity networks using artificial neural networks.

Computer methods and programs in biomedicine
Brain ageing is followed by changes of the connectivity of white matter (WM) and changes of the grey matter (GM) concentration. Neurodegenerative disease is more vulnerable to an accelerated brain ageing, which is associated with prospective cognitiv...

Functional connectivity correlates of response inhibition impairment in anorexia nervosa.

Psychiatry research. Neuroimaging
Anorexia nervosa (AN) is a disorder characterized by high levels of cognitive control and behavioral perseveration. The present study aims at exploring inhibitory control abilities and their functional connectivity correlates in patients with AN. Inh...

Early Childhood Behavioral Inhibition Predicts Cortical Thickness in Adulthood.

Journal of the American Academy of Child and Adolescent Psychiatry
OBJECTIVE: Behavioral inhibition (BI) during early childhood predicts risk for anxiety disorders and altered cognitive control in adolescence. Although BI has been linked to variation in brain function through adulthood, few studies have examined rel...

Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction.

IEEE transactions on bio-medical engineering
OBJECTIVE: Improve the reconstructed image with fast and multiclass dictionaries learning when magnetic resonance imaging is accelerated by undersampling the k-space data.

Neoadjuvant endocrine treatment in early breast cancer: An overlooked alternative?

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
During the last decade neoadjuvant endocrine therapy (NET) has moved from being reserved for elderly and frail non-chemotherapy candidates to a primary systemic modality in selected patients with hormone sensitive breast cancer. Neoadjuvant hormonal ...

Group-regularized individual prediction: theory and application to pain.

NeuroImage
Multivariate pattern analysis (MVPA) has become an important tool for identifying brain representations of psychological processes and clinical outcomes using fMRI and related methods. Such methods can be used to predict or 'decode' psychological sta...

Test-retest reliability of fMRI experiments during robot-assisted active and passive stepping.

Journal of neuroengineering and rehabilitation
BACKGROUND: Brain activity has been shown to undergo cortical and sub-cortical functional reorganisation over the course of gait rehabilitation in patients suffering from a spinal cord injury or a stroke. These changes however, have not been complete...