Diabetic Cardiomyopathy
Heart failure and related morbidity and mortality are increasing at an alarming rate, in large part, because of increases in aging, obesity, and diabetes mellitus. The clinical ...
Publications
Explore 337 academic publications
Showing 12 of
337 publications
Prevalence of Depression in the Community from 30 Countries between 1994 and 2014
The prevalence of depression may be affected by changes in psychiatric practices and the availability of online mental health information in the past two decades. This study aim...
Null mutations in progranulin cause ubiquitin-positive frontotemporal dementia linked to chromosome 17q21
Frontotemporal dementia (FTD) with ubiquitin-immunoreactive neuronal inclusions (both cytoplasmic and nuclear) of unknown nature has been linked to a chromosome 17q21 region (FT...
Shortcut learning in deep neural networks
Deep learning has triggered the current rise of artificial intelligence and is the workhorse of today’s machine intelligence. Numerous success stories have rapidly spread all ov...
MesoNet: a Compact Facial Video Forgery Detection Network
This paper presents a method to automatically and efficiently detect face\ntampering in videos, and particularly focuses on two recent techniques used to\ngenerate hyper-realist...
Amyotrophic Lateral Ssclerosis and Structural Defects in Cu,Zn Superoxide Dismutase
Single-site mutants in the Cu,Zn superoxide dismutase (SOD) gene ( SOD1 ) occur in patients with the fatal neurodegenerative disorder familial amyotrophic lateral sclerosis (FAL...
Challenges in the diagnosis of Parkinson's disease
Parkinson's disease is the second most common neurodegenerative disease and its prevalence has been projected to double over the next 30 years. An accurate diagnosis of Parkinso...
Selective loss of glial glutamate transporter GLT‐1 in amyotrophic lateral sclerosis
Abstract The pathogenesis of sporadic amyotrophic lateral sclerosis (ALS) is unknown, but defects in synaptosomal high‐affinity glutamate transport have been observed. In experi...
Moment Matching for Multi-Source Domain Adaptation
Conventional unsupervised domain adaptation (UDA) assumes that training data are sampled from a single domain. This neglects the more practical scenario where training data are ...