Murder suspect brain scans published Monday in Aggression and Violent Behavior reveal that killers who planned their crimes ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of MRI images through deep learning is important for early treatment and ...

Abstract: Knee segmentation and landmark localization from 3D MRI are two significant tasks for diagnosis and treatment of knee diseases. With the development of deep learning, Convolutional Neural ...

Introduction: Spatial normalization is a key step in semi-quantitative brain PET analysis. Traditional methods often require MRI scans with complex and time-consuming calculations. MRI-independent PET ...

Cholinesterases are candidate biomarkers for important neurological disorders, but activity of these enzymes is currently difficult to assess at an organismic level. By developing a ...

Abstract: With a hybrid magnetoencephalography (MEG)-MRI device that uses the same sensors for both modalities, the co-registration of MRI and MEG data can be ...

Electroencephalography (EEG) source reconstruction estimates spatial information from the brain’s electrical activity acquired using EEG. This method requires accurate identification of the EEG ...

Deep Brain Stimulation (DBS) is an effective therapy for patients disabling motor symptoms from Parkinson’s disease, essential tremor, and other motor disorders. Precise, individualized placement of ...