This research presents biologically inspired visual models and algorithms for automatic part extraction and object recognition from gray-scale images with approximate rot [...]

According to the World Health Organization (WHO) over 5.5 million people across the world have died due to SARS-CoV-2. Efficiently and accurately diagnosing people with C [...]

This thesis presents a suite of deep learning frameworks designed to address key challenges in the analysis of Electron Microscopy (EM) images of cancer cells, which are [...]

Globally, attention-deficit/hyperactivity disorder (ADHD), affects children, adolescents and adults, and can cause reduced academic achievement, occupational struggles, a [...]

The term Adverse Safety Events (ASEs) refers to harm from medical errors and, if considered a disease, would rank third among the leading causes of death in the U.S. Pati [...]

Brain–computer interfaces (BCIs) enable communication and device control without muscle movement and offer important benefits for people with severe motor impairments. Th [...]

This is a comparative study of the Goodness of Pronunciation (GOP) score, a phone pronunciation quality metric, that explores its formulation and evolution. The effective [...]

Oral communication is the most important way for delivering information in our daily life. Unfortu-nately, the quality of such communication can be degraded by 1) speech [...]