Application of machine and deep learning methods in drug discovery and cancer research
has gained a considerable amount of attention in the past years. As the field grows, it …

Studying facial expressions is a notoriously difficult endeavor. Recent advances in the field
of affective computing have yielded impressive progress in automatically detecting facial …

Background Revision total hip arthroplasty (THA) requires preoperatively identifying in situ
implants, a time-consuming and sometimes unachievable task. Although deep learning (DL) …

Pathologists can label pathologies differently, making it challenging to yield consistent
assessments in the absence of one ground truth. To address this problem, we present a …

Cerebral cortex supports representations of the world in patterns of neural activity, used by
the brain to make decisions and guide behavior. Past work has found diverse, or limited …

Semi-quantitative scoring schemes like the Consortium to Establish a Registry for
Alzheimer's Disease (CERAD) are the most commonly used method in Alzheimer's disease …

Abstract Purpose Focal cortical dysplasias (FCDs) are a leading cause of drug-resistant
epilepsy. Early detection and resection of FCDs have favorable prognostic implications for …

Computer vision, a subdivision of computer science and artificial intelligence focuses on
enabling computers to interpret and analyze visual data from the world, such as images and …

We present a series of programming assignments, adaptable to a range of experience levels
from advanced undergraduate to PhD, to teach students design and implementation of …

UAV networks have become a promising approach to provide wireless coverage to regions
with limited connectivity. The combination of UAV networks and technologies such as the …