The current plethora of imaging technologies such as magnetic resonance imaging (MR), computed tomography (CT), position emission tomography (PET), optical coherence tomography (OCT), and ultrasound provide great insight into the different anatomical and functional processes of the human body. While such imaging technologies have improved significantly over the years to provide improved resolution and signal-to-noise ratio (SNR), as well as reduced acquisition speed, there are still many fundamental trade-offs between these three aspects due to operational, financial, and physical constraints. As such, the acquired data can be largely unusable in raw form due to factors such as noise, technology-related artifacts, poor resolution, and contrast. Furthermore, given the complexities of biomedical imaging data, it is often difficult for research scientists and clinicians to interpret and analyze the acquired data in a meaningful and efficient fashion. Researchers in the VIP group are developing novel and exciting ways to address the issues associated with biomedical imaging to assist clinicians, radiologists, pathologists, and clinical research scientists in better visualizing, diagnosing, and understanding various diseases affecting the human body.