Controlling cancer requires comprehensive understanding of the molecular, cellular, and organizational properties of tumor tissue. While clinical pathology has served as [...]

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 [...]

Patient stratification is essential for addressing breast cancer's inter- and intra-heterogeneity. While the PAM50 classifier is widely regarded to be the gold standard f [...]

Medical images provide a non-invasive means of assessing structural and functional changes within the human body. They are a rich source of information on the internal bo [...]

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