Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study. Schizophr Res.. 2017.
Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach.. Gen Hosp Psychiatry. 47:20-28.. 2017.
Evaluating accuracy of striatal, pallidal, and thalamic segmentation methods: Comparing automated approaches to manual delineation.. Neuroimage.. 2017.
Your algorithm might think the hippocampus grows in Alzheimer's disease: Caveats of longitudinal automated hippocampal volumetry.. Hum Brain Mapp. 38(6):2875-2896.. 2017.