MSBI Program Research Projects
UCSF’s Department of Radiology and Biomedical Imaging consistently ranks amongst the top departments in the nation in terms of funding from the National Institutes of Health. There is a wide breadth of research performed, ranging from basic science to applied clinical research. MSBI students are free to engage in imaging based research in other departments, which have included Cardiology, Neurology, Ophthalmology and Dentistry. Alternatively, students can engage in an internship at one of the bay area’s biotechnology or pharmaceutical companies.
The MSBI program encourages students to explore their own research interests and many research opportunities exist within the Department of Radiology and Biomedical Imaging, in other departments at UCSF, and even in local biotechnology and pharmaceutical companies. A research elective course is introduced in the Spring quarter, which allows students time to explore potential research topics. Most MSBI students pursue the thesis option, which allows them to spend the summer quarter working full time on their research project. The vast majority of MSBI thesis students receive a stipend during the summer quarter. Summaries of the range of projects undertaken by MSBI students can be found at the links below.
Thesis & Abstracts
2018 - 2019
| Ravi Chachad | Temporal Impact of Sugar Metabolism on the Liver |
| Qing Dai | Clear Cell Renal Cell Carcinoma: Deep Learning-Based Prediction of Tumor Grade from Contrast-Enhanced CT |
| Emilie Decavel-Bueff | Drug capture efficacy using polystyrenesulfonate-coated chemofilter device |
| Virginia Hinostroza | 4D Flow with Compressed Sensing for the Evaluation of Intracranial Aneurysmal Flow |
| Alison Myoraku | Lifespan Changes of the Human Insula in Major Depression |
| Samuel Shu | Understanding differences in quantification of conventional versus experimental contrast materials with different clinical dual-energy computed tomography systems, and development of universal contrast quantification “handshake” |
| Benjamin Sipes | EEG Microstates in Neurofeedback Attention Training |
| Torie Tsuie | Longitudinal Changes in Brain Structure and Integrity During Acute HIV |
| Jack Williams | Evaluating EPflex MRline Guidewire for Endovascular Interventions Guided by MRI at 3T vs. X-ray Fluoroscopy |
| Fei Xiong | Prediction of Abdominal Aortic Aneurysms (AAAs) Progression by Automatic Segmentation and Radiomics Feature Quantification |
| Jiamin Zhou | spectrome-AI: a Neural Network Framework for Inferring MEG Spectra |
