Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical Lymphadenopathy. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2011 · External reference
Analysis of sentinel node biopsy combined with other diagnostic tools in staging cN0 head and neck cancer: a diagnostic meta-analysis
10.1002/hed.23945 · 2016 · External reference
Unresolved reference
2017 · External reference
Unresolved reference
2011 · External reference
Role of positron emission tomography/computed tomography (PET/CT) in head and neck cancer
10.1016/j.rcl.2013.05.002 · 2013 · External reference
Imaging evaluation of lymphadenopathy and patterns of lymph node spread in head and neck cancer
2014 · External reference
Cervical lymph node metastasis: assessment of radiologic criteria
10.1148/radiology.177.2.2217772 · 1990 · External reference
Necrosis in metastatic neck nodes: diagnostic accuracy of CT, MR imaging, and US
10.1148/radiol.2303030157 · 2004 · External reference
Dual- and multi-energy CT: principles, technical approaches, and clinical applications
10.1148/radiol.2015142631 · 2015 · External reference
Dual-energy computed tomography: physical principles, approaches to scanning, usage, and implementation: part 1
10.1016/j.nic.2017.03.002 · 2017 · External reference
Dual-energy computed tomography: physical principles, approaches to scanning, usage, and implementation: part 2
10.1016/j.nic.2017.03.003 · 2017 · External reference
Comparison of dual-energy CT-derived iodine content and iodine overlay of normal, inflammatory and metastatic squamous cell carcinoma cervical lymph nodes
10.1007/s00330-013-3035-3 · 2014 · External reference
Papillary thyroid Cancer: dual-energy spectral CT quantitative parameters for preoperative diagnosis of metastasis to the cervical lymph nodes
10.1148/radiol.14140481 · 2015 · External reference
A retrospective study of dual-energy CT for clinical detecting of metastatic cervical lymph nodes in laryngeal and hypopharyngeal squamous cell carcinoma
10.3109/00016489.2015.1015164 · 2015 · External reference
Differentiation of malignant cervical lymphadenopathy by dual-energy CT: a preliminary analysis
10.1038/srep31020 · 2016 · External reference
Preliminary study on the diagnostic value of single-source dual-energy CT in diagnosing cervical lymph node metastasis of thyroid carcinoma
10.21037/jtd.2017.09.151 · 2017 · External reference
Dual-energy computed tomography applications for the evaluation of cervical lymphadenopathy
10.1016/j.nic.2017.04.002 · 2017 · External reference
Advanced tissue characterization and texture analysis using dual-energy computed tomography
10.1016/j.nic.2017.04.007 · 2017 · External reference
Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm
10.1007/s00330-017-5214-0 · 2018 · External reference
Locally advanced squamous cell carcinoma of the head and neck: CT texture and histogram analysis allow independent prediction of overall survival in patients treated with induction chemotherapy
10.1148/radiol.13130110 · 2013 · External reference
10.1038/ncomms5006
10.1038/ncomms5006 · External reference
Machine learning methods for quantitative radiomic biomarkers
10.1038/srep13087 · 2015 · External reference
10.3174/ajnr.a4110
10.3174/ajnr.a4110 · External reference
Using texture analysis to determine human papillomavirus status of oropharyngeal squamous cell carcinomas on CT
10.3174/ajnr.a4285 · 2015 · External reference
External validation of a prognostic CT-based radiomic signature in oropharyngeal squamous cell carcinoma
10.3109/0284186x.2015.1061214 · 2015 · External reference
Use of texture analysis based on contrast-enhanced MRI to predict treatment response to chemoradiotherapy in nasopharyngeal carcinoma
10.1002/jmri.25156 · 2016 · External reference
10.1088/0031-9155/60/14/5471
10.1088/0031-9155/60/14/5471 · External reference
Quantitative CT texture and shape analysis: can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?
10.1007/s00330-014-3420-6 · 2015 · External reference
CT texture analysis can help differentiate between malignant and benign lymph nodes in the mediastinum in patients suspected for lung cancer
10.1177/0284185115598808 · 2016 · External reference
The method and efficacy of support vector machine classifiers based on texture features and multi-resolution histogram from (18)F-FDG PET-CT images for the evaluation of mediastinal lymph nodes in patients with lung cancer
10.1016/j.ejrad.2014.11.006 · 2015 · External reference
Different spectral hounsfield unit curve and high-energy virtual monochromatic image characteristics of squamous cell carcinoma compared with nonossified thyroid cartilage
10.3174/ajnr.a4253 · 2015 · External reference
Optimal virtual monochromatic images for evaluation of Normal tissues and head and neck cancer using dual-energy CT
10.3174/ajnr.a4314 · 2015 · External reference
Differentiation of benign and malignant neck pathologies: preliminary experience using spectral computed tomography
10.1097/rct.0b013e3182976365 · 2013 · External reference
Endometrial carcinoma: MR imaging-based texture model for preoperative risk stratification-a preliminary analysis
2017 · External reference
Changes in primary breast cancer heterogeneity may augment midtreatment MR imaging assessment of response to neoadjuvant chemotherapy
10.1148/radiol.14130569 · 2014 · External reference
Texture analysis as imaging biomarker of tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3-T magnetic resonance
10.1097/rli.0000000000000116 · 2015 · External reference
Virtual monochromatic spectral imaging with fast kilovoltage switching: improved image quality as compared with that obtained with conventional 120-kVp CT
10.1148/radiol.11100978 · 2011 · External reference
Low-energy virtual monochromatic dual-energy computed tomography images for the evaluation of head and neck squamous cell carcinoma: a study of tumor visibility compared with single-energy computed tomography and user acceptance
10.1097/rct.0000000000000571 · 2017 · External reference
Advanced dual-energy CT for head and neck cancer imaging
2015 · External reference
Multiparametric evaluation of head and neck squamous cell carcinoma using a single-source dual-energy CT with fast kVp switching: state of the art
10.3390/cancers7040886 · 2015 · External reference
Applications of dual-energy computed tomography for the evaluation of head and neck squamous cell carcinoma
10.1016/j.nic.2017.04.001 · 2017 · External reference
10.1023/a:1010933404324
10.1023/a:1010933404324 · External reference
10.1214/aos/1013203451
10.1214/aos/1013203451 · External reference
10.1016/s0167-9473(01)00065-2
10.1016/s0167-9473(01)00065-2 · External reference
Unresolved reference
2009 · External reference
Classification and regression by randomForest
2002 · External reference
Unresolved reference
2017 · External reference
CT texture analysis of cervical lymph nodes on contrast-enhanced [(18)F] FDG-PET/CT images to differentiate nodal metastases from reactive lymphadenopathy in HIV-positive patients with head and neck squamous cell carcinoma
2019 · External reference
Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning
10.1007/s00330-019-06159-y · 2019 · External reference
Benefits of texture analysis of dual energy CT for computer-aided pulmonary embolism detection
2013 · External reference
Pilot study: evaluation of dual-energy computed tomography measurement strategies for positron emission tomography correlation in pancreatic adenocarcinoma
10.1007/s10278-014-9707-y · 2014 · External reference
Unresolved reference
2013 · External reference
