125 citations · 188 across the 7 of their papers we have counts for
5 papers · 1 filter
3D dose prediction for Gamma Knife radiosurgery using deep learning and data modification
Binghao Zhang, Aaron Babier, Timothy C. Y. Chan +1
Purpose: To develop a machine learning-based, 3D dose prediction methodology for Gamma Knife (GK) radiosurgery. The methodology accounts for cases involving targets of any number,…
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines
Aaron Babier, Rafid Mahmood, Binghao Zhang +56
We establish an open framework for developing plan optimization models for knowledge-based planning (KBP) in radiotherapy. Our framework includes reference plans for 100 patients w…
OpenKBP: The open-access knowledge-based planning grand challenge
Aaron Babier, Binghao Zhang, Rafid Mahmood +4
The purpose of this work is to advance fair and consistent comparisons of dose prediction methods for knowledge-based planning (KBP) in radiation therapy research. We hosted OpenKB…
The importance of evaluating the complete automated knowledge-based planning pipeline
Aaron Babier, Rafid Mahmood, Andrea L. McNiven +2
We determine how prediction methods combine with optimization methods in two-stage knowledge-based planning (KBP) pipelines to produce radiation therapy treatment plans. We trained…
Knowledge-based automated planning with three-dimensional generative adversarial networks
Aaron Babier, Rafid Mahmood, Andrea L. McNiven +2
We develop a knowledge-based automated planning (KBAP) pipeline that generates treatment plans using deep neural network architectures for predicting 3D doses. Our pipeline consist…