1 citations · 3 across the 5 of their papers we have counts for
5 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…
Gross patient error detection via cine transmission dosimetry
Nguyen Phuong Dang, Victor Gabriel Leandro Alves, Mahmoud Ahmed +1
To quantify the effectiveness of EPID-based cine transmission dosimetry to detect gross patient anatomic errors. EPID image fra…
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…