University of Miami Sylvester Comprehensive Cancer Center
Miami, FL
Personal Statement
I am a medical physicist resident and associate research scientist at Columbia University. I am broadly interested in image processing and image analysis with particular interest in the medical images used for radiation therapy treatment planning and image guided treatments. In particular, my research interests are shaped by the emerging trends towards deep learning systems that enable personalized medicine and adaptive planning. Currently, my research focus on generating high quality synthetic narrow beam computed tomography images from low quality cone beam computed tomography images to enable fast and accurate dose calculation. To achieve this goal, I am implementing cycle consistent generative adversarial networks as the training algorithm which is primarily based on convolutional neural networks.
Additionally, I am exploring the feasibility of using the same training algorithm to create virtual exogenous contrast on synthetic images with the end goal of identifying the target volume during radiation therapy. This project will address the challenges of implementing adaptive planning and the use of exogenous contrast agents during radiation treatment.
My current research projects build logically on my prior work. As a young investigator, my research is based on unexplored questions from my graduate projects. These previous experiences laid the foundations for a strong image processing and analysis background that will contribute significantly on the success of my current project which requires far-reaching expertise on the medical imaging field.
Disclosures:
CBCT-Based ART: Revolutionizing Radiotherapy with Artificial Intelligence and Advanced X-Ray Imaging
Sunday, September 29, 2024
3:24 PM – 3:37 PM ET
2261 - Assessing Intra-fractional Organ Motion on Prostate Adaptive Radiotherapy
Sunday, September 29, 2024
4:45 PM – 6:00 PM ET