1 citations · 3 across the 4 of their papers we have counts for
4 papers
Divergent Clinical Equivalence Findings from DVH and NTCP Metrics for Alternative OAR Delineations with Increasing Setup Variability in Head-and-Neck Radiotherapy
M. N. H. Rashad, Abishek Karki, Jason Czak +4
Purpose: This study quantifies the variation in dose-volume histogram (DVH) and normal tissue complication probability (NTCP) metrics for head-and-neck (HN) cancer patients when al…
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…
DeepDoseNet: A Deep Learning model for 3D Dose Prediction in Radiation Therapy
Mumtaz Hussain Soomro, Victor Gabriel Leandro Alves, Hamidreza Nourzadeh +1
The DeepDoseNet 3D dose prediction model based on ResNet and Dilated DenseNet is proposed. The 340 head-and-neck datasets from the 2020 AAPM OpenKBP challenge were utilized, with 2…
OARnet: Automated organs-at-risk delineation in Head and Neck CT images
Mumtaz Hussain Soomro, Hamidreza Nourzadeh, Victor Gabriel Leandro Alves +2
A 3D deep learning model (OARnet) is developed and used to delineate 28 H&N OARs on CT images. OARnet utilizes a densely connected network to detect the OAR bounding-box, then deli…