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Tucker Netherton

Tucker Netherton

Associate Member

Assistant Professor

MDA FCT8.5042

The University of Texas MD Anderson Cancer Center
Department of Radiation Physics

Radiotherapy treatment planning is a process that involves a diverse clinical team and many sources of multi-modality data. This process requires extensive expertise, time commitment, and manual peer review. Automating this process through novel algorithms and safe approaches is the objective of my research. In doing so, this research can be directly translated to clinical practice can increase efficiency and the quality of patient-specific treatments. I was trained in machine learning, deep learning, and image processing techniques during my time in the GSBS Medical Physics program and enjoy teaching and mentoring students. My long-term goal is to improve patient outcomes and advance discovery and education through academic research. I currently develop tools to expedite clinical processes for automatic medical image segmentation of normal and cancerous tissues, predict treatment planning errors that pose risks to patient care, and aid decision making in radiotherapy treatment planning. I directly collaborate with Dr. Laurence Court to support the development of the Radiation Planning Assistant, an initiative which creates state-of-the-art tools four our clinic as well as those in low-and-middle income countries. In addition to my research, I also practice as a clinical medical physicist where I specialize in head and neck, sarcoma, melanoma, lymphoma, and special therapeutic procedures.

NCBI My Bibliography

Radiation Planning Assistant Website

Education & Training

PhD, MD Anderson UTHealth Graduate School, 2021
DMP, Vanderbilt School of Medicine, 2016

Research Opportunities