8 citations · 8 across the 3 of their papers we have counts for
3 papers
physics.med-ph2023
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,…
math.OC2021
A Multiobjective Approach for Sector Duration Optimization in Stereotactic Radiosurgery Treatment Planning
Oylum Şeker, Mucahit Cevik, Merve Bodur +2
Sector duration optimization (SDO) is a problem arising in treatment planning for stereotactic radiosurgery on Gamma Knife. Given a set of isocenter locations, SDO aims to select c…
physics.med-ph2018★ 8 cited
Simultaneous optimization of isocenter locations and sector duration in radiosurgery
Mucahit Cevik, Dionne Aleman, Young Lee +5
Stereotactic radiosurgery is an effective technique to treat brain tumors for which several inverse planning methods may be appropriate. We propose an integer programming model to…