CERR: a computational environment for radiotherapy research.
By J. Deasy, A. Blanco, V. Clark. Medical Physics (Lancaster), 2003
937 citations recorded by the source corpus.
Subfields: Pulmonary and Respiratory Medicine, Radiation, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/5fd88fb7bd27b4ac06cfd40db07330607d422285
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In Pulmonary and Respiratory Medicine
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. (2015, methodology): “Deasy JO, Blanco AI, Clark VH. CERR: a computational environment for radiotherapy research.”
- Exploring feature-based approaches in PET images for predicting cancer treatment outcomes (2009, methodology): “The pre-treatment scans were transferred using the digital imaging and communications in medicine (DICOM) protocol into the research treatment planning system CERR, which stands for computational environment for radiotherapy research [28], where the intensity values were converted into SUV.”
- Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situations (2006, methodology): “This software is available within the software package CERR from Washington University, St Louis (Deasy et al 2003).”
- IBEX: an open infrastructure software platform to facilitate collaborative work in radiomics. (2015, background): “A Computational Environment for Radiotherapy Research ( ) publication 26 states that reproducibility is a key element of the scientific method.”