Prediction of Liver Regeneration Post-Radiotherapy Using Machine Learning and Deep Learning Models

Authors

Yining Zha, The University of Texas MD Anderson Cancer CenterFollow
Aashish C. Gupta, The University of Texas MD Anderson Cancer Center
Guillaume Cazoulat PhD, The University of Texas MD Anderson Cancer Center
Brian Sandeep De MD, The University of Texas MD Anderson Cancer Center
Iwan Paolucci PhD, The University of Texas MD Anderson Cancer Center
Molly McCulloch PhD, The University of Texas MD Anderson Cancer Center
Mais M. Al Taie PhD, The University of Texas MD Anderson Cancer Center
Sireesha Yedururi PhD, The University of Texas MD Anderson Cancer Center
Eugene J. Koay MD, PhD, The University of Texas MD Anderson Cancer Center
Kristy K. Brock PhD, The University of Texas MD Anderson Cancer Center

Files

Description

• Department of Imaging Physics
• Radiation Oncology
• Interventional Radiology

Keywords

Liver Regeneration, Radiotherapy, Prediction, Machine Learning, Deep Learning

Program Affiliation

Summer Undergraduate Research Program

Recommended Citation

Zha, Yining; Gupta, Aashish C.; Cazoulat, Guillaume PhD; De, Brian Sandeep MD; Paolucci, Iwan PhD; McCulloch, Molly PhD; Al Taie, Mais M. PhD; Yedururi, Sireesha PhD; Koay, Eugene J. MD, PhD; and Brock, Kristy K. PhD, "Prediction of Liver Regeneration Post-Radiotherapy Using Machine Learning and Deep Learning Models" (2022). Summer Experience 2022. 134.
https://openworks.mdanderson.org/sumexp22/134