Cognitive deficits are a core feature of schizophrenia, account for much of the impaired
functioning associated with the disorder and are not responsive to existing treatments. In this …

Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an
important role in understanding brain functionalities and its disorders during the last couple …

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …

Psychiatric disorders are now responsible for the largest proportion of the global burden of
disease, and even more challenges have been seen during the COVID-19 pandemic …

Despite the great promise that machine learning has offered in many fields of medicine, it
has also raised concerns about potential biases and poor generalization across genders …

Many mental illnesses share overlapping or similar clinical symptoms, confounding the
diagnosis. It is important to systematically characterize the degree to which unique and …

Schizophrenia has been an evolutionary paradox: it has high heritability, but it is associated
with decreased reproductive success. The causal genetic variants underlying schizophrenia …

Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …

Heterogeneity of brain diseases is a challenge for precision diagnosis/prognosis. We
describe and validate Smile-GAN (SeMI-supervised cLustEring-Generative Adversarial …

Differential diagnosis is sometimes difficult in practical psychiatric settings, in terms of using
the current diagnostic system based on presenting symptoms and signs. The creation of a …