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 [...]

Develop a script for the purpose of automated adaptive planning. Validate this script through various tests including patient shift accuracy, dosimetric agreement, densit [...]

This work is the first step towards developing an ontology of intensive care unit orders. A data set comprised of 625 ICU orders from 34 randomly selected patients of sev [...]

The biomechanical environment of embryonic cardiac cells influences heart development, and its disruption is linked to congenital heart defects. This work developed an in [...]

The detection of cancer at its early stages requires the analysis of new biomarkers that are specific to the tumor and have less background than conventional biomarkers. [...]

Monitoring cognitive effort is challenging due to complex neural networks and variability in task engagement. This study presents an electroencephalogram (EEG) and machin [...]

Pediatric hypertension has recently emerged as an important clinical entity. However, it can be difficult to recognize due to the complicated process required to identify [...]

Attenuation correction (AC) in PET/MR imaging significantly alters the displayed PET signal. Modern AC methods forgo the process of directly calculating attenuation throu [...]

Lutetium-177 vipivotide tetraxetan (Lu-177 PSMA-617) therapy is an effective treatment for patients with metastatic prostate cancer, although with potential adverse effec [...]