A multi-module diabetic retinopathy diagnostic system based on structural and angiographic optical coherence tomography using deep learning.

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 [...]

The work presented in this dissertation focuses on the development of robust deep learning models to predict in-vitro cancer drug responses, with utility in precision onc [...]

Postural impairments constitute a common motor symptom of Parkinson’s disease (PD). While there is evidence that they might already be present pre-clinically, they are of [...]

Nearly one in five children (17%) aged 2-8 were diagnosed with either a mental, emotional, developmental, or behavioral disorder in 2016 in the US. Early identification o [...]

SIGN Fracture Care International partners with surgeons in low-resource hospitals worldwide to provide access to effective orthopedic care. SIGN reaches across 52 countri [...]

It remains a substantial challenge to model psychopathology using neuroimaging data. High rates of comorbidity and heterogeneity between and within psychiatric disorders [...]

Early life sleep disruption (ELSD) from P14-P21 in the socially monogamous prairie vole impacts adult social behavior (Jones et al, 2019). The use of automated tools to s [...]

Applied deep learning is an area that has been evolving rapidly in recent years and is now ubiquitous within the machine learning and artificial intelligence communities. [...]

Optical coherence tomographic angiography (OCTA) has been successfully used in ophthalmol-ogy, providing noninvasive, non-dye-based, high-speed, and depth-resolved imagin [...]