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References from Feasibility of quantifying intra-fractional patient positional error for head and neck IMRT using radiomic features of EPID-measured fluence maps: a phantom study. Local targets link to admitted publications; unresolved targets remain external evidence.
A hybrid volumetric dose verification method for single-isocenter multiple-target cranial SRS
10.1002/acm2.12430 · 2018 · External reference
AAPM task group report 302: surface-guided radiotherapy
10.1002/mp.15532 · 2022 · External reference
Three-dimensional surface imaging for detection of intra-fraction setup variations during radiotherapy of pelvic tumors
10.1007/s11547-016-0659-9 · 2016 · External reference
Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis
10.1007/s12194-018-0486-x · 2018 · External reference
A radiomics model for predicting the response to bevacizumab in brain necrosis after radiotherapy
10.1158/1078-0432.ccr-20-1264 · 2020 · External reference
Radiomics in breast cancer classification and prediction
10.1016/j.semcancer.2020.04.002 · 2020 · External reference
Comparative performances of machine learning algorithms in radiomics and impacting factors
10.1038/s41598-023-39738-7 · 2023 · External reference
A simple model for transit dosimetry based on a water equivalent EPID
10.1002/mp.12742 · 2018 · External reference
AAPM Task Group Report 307: use of EPIDs for patient-specific IMRT and VMAT QA
10.1002/mp.16536 · 2023 · External reference
Assessment of a commercial EPID dosimetry system to detect radiotherapy treatment errors
10.1088/2057-1976/ac02a5 · 2021 · External reference
3D slicer as an image computing platform for the quantitative imaging network
10.1016/j.mri.2012.05.001 · 2012 · External reference
Design and selection of machine learning methods using radiomics and dosiomics for normal tissue complication probability modeling of xerostomia
10.3389/fonc.2018.00035 · 2018 · External reference
Radiomics: images are more than pictures, they are data
10.1148/radiol.2015151169 · 2016 · External reference
Quantification of intra-fraction changes during radiotherapy of cervical cancer assessed with pre- and post-fraction cone beam CT scans
10.1016/j.radonc.2015.08.034 · 2015 · External reference
Can a commercially available EPID dosimetry system detect small daily patient setup errors for cranial IMRT/SRS?
10.1016/j.prro.2016.12.005 · 2017 · External reference
Evaluation of inter fraction setup variations for postmastectomy radiation therapy using EPID-based in vivo dosimetry
10.1002/acm2.12712 · 2019 · External reference
Radiomics: the bridge between medical imaging and personalized medicine
10.1038/nrclinonc.2017.141 · 2017 · External reference
The structural similarity index for IMRT quality assurance: radiomics-based error classification
10.1002/mp.14559 · 2020 · External reference
A portal dosimetry dose prediction method based on collapsed cone algorithm using the clinical beam model
10.1002/mp.12018 · 2017 · External reference
Assessment of combined use of ArcCheck® detector and portal dosimetry for delivery quality assurance of head and neck and prostate volumetric-modulated arc therapy
10.1002/acm2.12460 · 2018 · External reference
Non-invasive decision support for NSCLC treatment using PET/CT radiomics
10.1038/s41467-020-19116-x · 2020 · External reference
Deep learning-based detection and classification of multi-leaf collimator modeling errors in volumetric modulated radiation therapy
10.1002/acm2.14136 · 2023 · External reference
Deep learning for patient-specific quality assurance: identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks
10.1002/mp.13338 · 2019 · External reference
Intensity-modulated radiotherapy in the treatment of head and neck cancer
10.1016/j.clon.2012.05.006 · 2012 · External reference
An assessment of the magnitude of intra-fraction movement of head-and-neck IMRT cases and its implication on the action-level of the imaging protocol
10.1016/j.radonc.2014.09.008 · 2014 · External reference
Scikit-Learn: machine learning in Python
2011 · External reference
Detecting MLC modeling errors using radiomics-based machine learning in patient-specific QA with an EPID for intensity-modulated radiation therapy
10.1002/mp.14699 · 2021 · External reference
A literature review of electronic portal imaging for radiotherapy dosimetry
10.1016/j.radonc.2008.07.008 · 2008 · External reference
The use of an aSi-based EPID for routine absolute dosimetric pre-treatment verification of dynamic IMRT fields
10.1016/j.radonc.2004.02.018 · 2004 · External reference
Computational Radiomics System to Decode the Radiographic Phenotype
10.1158/0008-5472.can-17-0339 · 2017 · External reference
Direct-detection EPID dosimetry: investigation of a potential clinical configuration for IMRT verification
10.1088/0031-9155/54/23/008 · 2009 · External reference
Identification of treatment error types for lung cancer patients using convolutional neural networks and EPID dosimetry
10.1016/j.radonc.2020.09.048 · 2020 · External reference
Error detection in intensity-modulated radiation therapy quality assurance using radiomic analysis of gamma distributions
10.1016/j.ijrobp.2018.05.033 · 2018 · External reference
Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics
10.1038/s41467-020-18497-3 · 2020 · External reference
Radiomics analysis of EPID measurements for patient positioning error detection in thyroid associated ophthalmopathy radiotherapy
10.1016/j.ejmp.2021.08.014 · 2021 · External reference
Sensitivity study of an automated system for daily patient QA using EPID exit dose images
10.1002/acm2.12303 · 2018 · External reference
Sensitivity study of an automated system for daily patient QA using EPID exit dose images
10.1002/acm2.12303 · ExternalCitation · doi-reference
A hybrid volumetric dose verification method for single-isocenter multiple-target cranial SRS
10.1002/acm2.12430 · ExternalCitation · doi-reference
Assessment of combined use of ArcCheck® detector and portal dosimetry for delivery quality assurance of head and neck and prostate volumetric-modulated arc therapy
10.1002/acm2.12460 · ExternalCitation · doi-reference
Evaluation of inter fraction setup variations for postmastectomy radiation therapy using EPID-based in vivo dosimetry
10.1002/acm2.12712 · ExternalCitation · doi-reference
Deep learning-based detection and classification of multi-leaf collimator modeling errors in volumetric modulated radiation therapy
10.1002/acm2.14136 · ExternalCitation · doi-reference
A portal dosimetry dose prediction method based on collapsed cone algorithm using the clinical beam model
10.1002/mp.12018 · ExternalCitation · doi-reference
A simple model for transit dosimetry based on a water equivalent EPID
10.1002/mp.12742 · ExternalCitation · doi-reference
Deep learning for patient-specific quality assurance: identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks
10.1002/mp.13338 · ExternalCitation · doi-reference
The structural similarity index for IMRT quality assurance: radiomics-based error classification
10.1002/mp.14559 · ExternalCitation · doi-reference
Detecting MLC modeling errors using radiomics-based machine learning in patient-specific QA with an EPID for intensity-modulated radiation therapy
10.1002/mp.14699 · ExternalCitation · doi-reference
AAPM task group report 302: surface-guided radiotherapy
10.1002/mp.15532 · ExternalCitation · doi-reference
AAPM Task Group Report 307: use of EPIDs for patient-specific IMRT and VMAT QA
10.1002/mp.16536 · ExternalCitation · doi-reference
Three-dimensional surface imaging for detection of intra-fraction setup variations during radiotherapy of pelvic tumors
10.1007/s11547-016-0659-9 · ExternalCitation · doi-reference
Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis
10.1007/s12194-018-0486-x · ExternalCitation · doi-reference
Intensity-modulated radiotherapy in the treatment of head and neck cancer
10.1016/j.clon.2012.05.006 · ExternalCitation · doi-reference
Radiomics analysis of EPID measurements for patient positioning error detection in thyroid associated ophthalmopathy radiotherapy
10.1016/j.ejmp.2021.08.014 · ExternalCitation · doi-reference
Error detection in intensity-modulated radiation therapy quality assurance using radiomic analysis of gamma distributions
10.1016/j.ijrobp.2018.05.033 · ExternalCitation · doi-reference
3D slicer as an image computing platform for the quantitative imaging network
10.1016/j.mri.2012.05.001 · ExternalCitation · doi-reference
Can a commercially available EPID dosimetry system detect small daily patient setup errors for cranial IMRT/SRS?
10.1016/j.prro.2016.12.005 · ExternalCitation · doi-reference
The use of an aSi-based EPID for routine absolute dosimetric pre-treatment verification of dynamic IMRT fields
10.1016/j.radonc.2004.02.018 · ExternalCitation · doi-reference
A literature review of electronic portal imaging for radiotherapy dosimetry
10.1016/j.radonc.2008.07.008 · ExternalCitation · doi-reference
An assessment of the magnitude of intra-fraction movement of head-and-neck IMRT cases and its implication on the action-level of the imaging protocol
10.1016/j.radonc.2014.09.008 · ExternalCitation · doi-reference
Quantification of intra-fraction changes during radiotherapy of cervical cancer assessed with pre- and post-fraction cone beam CT scans
10.1016/j.radonc.2015.08.034 · ExternalCitation · doi-reference
Identification of treatment error types for lung cancer patients using convolutional neural networks and EPID dosimetry
10.1016/j.radonc.2020.09.048 · ExternalCitation · doi-reference
Radiomics in breast cancer classification and prediction
10.1016/j.semcancer.2020.04.002 · ExternalCitation · doi-reference
Radiomics: the bridge between medical imaging and personalized medicine
10.1038/nrclinonc.2017.141 · ExternalCitation · doi-reference
Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics
10.1038/s41467-020-18497-3 · ExternalCitation · doi-reference
Non-invasive decision support for NSCLC treatment using PET/CT radiomics
10.1038/s41467-020-19116-x · ExternalCitation · doi-reference
Comparative performances of machine learning algorithms in radiomics and impacting factors
10.1038/s41598-023-39738-7 · ExternalCitation · doi-reference
Direct-detection EPID dosimetry: investigation of a potential clinical configuration for IMRT verification
10.1088/0031-9155/54/23/008 · ExternalCitation · doi-reference
Assessment of a commercial EPID dosimetry system to detect radiotherapy treatment errors
10.1088/2057-1976/ac02a5 · ExternalCitation · doi-reference
Radiomics: images are more than pictures, they are data
10.1148/radiol.2015151169 · ExternalCitation · doi-reference
Computational Radiomics System to Decode the Radiographic Phenotype
10.1158/0008-5472.can-17-0339 · ExternalCitation · doi-reference
A radiomics model for predicting the response to bevacizumab in brain necrosis after radiotherapy
10.1158/1078-0432.ccr-20-1264 · ExternalCitation · doi-reference
Design and selection of machine learning methods using radiomics and dosiomics for normal tissue complication probability modeling of xerostomia
10.3389/fonc.2018.00035 · ExternalCitation · doi-reference
