58 citations · 71 across the 4 of their papers we have counts for
4 papers
DASS Good: Explainable Data Mining of Spatial Cohort Data
Andrew Wentzel, Carla Floricel, Guadalupe Canahuate +5
Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose distributions across adjacent org…
Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans
Mary P. Gronberg, Beth M. Beadle, Adam S. Garden +20
Purpose: This study aimed to use deep learning-based dose prediction to assess head and neck (HN) plan quality and identify suboptimal plans. Methods: A total of 245 VMAT HN plans…
Combination Chemotherapy Optimization with Discrete Dosing
Temitayo Ajayi, Seyedmohammadhossein Hosseinian, Andrew J. Schaefer +1
Chemotherapy is one of the primary modalities of cancer treatment. Chemotherapy drug administration is a complex problem that often requires expensive clinical trials to evaluate p…
A modular phantom and software to characterize 3D geometric distortion in MRI
Jordan M. Slagowski, Yao Ding, Manik Aima +8
MRI offers outstanding soft tissue contrast that may reduce uncertainties in target and organ-at-risk delineation and enable online adaptive image-guided treatment. Spatial distort…