Technical Note: Virtual phantom analyses for preprocessing evaluation and detection of a robust feature set for MRI‐radiomics of the brain
出版年份 2019 全文链接
标题
Technical Note: Virtual phantom analyses for preprocessing evaluation and detection of a robust feature set for MRI‐radiomics of the brain
作者
关键词
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出版物
MEDICAL PHYSICS
Volume 46, Issue 11, Pages 5116-5123
出版商
Wiley
发表日期
2019-09-21
DOI
10.1002/mp.13834
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Multicenter CT phantoms public dataset for radiomics reproducibility tests
- (2019) Petros Kalendralis et al. MEDICAL PHYSICS
- Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma
- (2018) Guangyi Wang et al. EUROPEAN JOURNAL OF RADIOLOGY
- Evaluation of radiomic texture feature error due to MRI acquisition and reconstruction: A simulation study utilizing ground truth
- (2018) Fei Yang et al. Physica Medica-European Journal of Medical Physics
- Effect of tube current on computed tomography radiomic features
- (2018) Dennis Mackin et al. Scientific Reports
- Quantitative Radiomics: Impact of Pulse Sequence Parameter Selection on MRI-Based Textural Features of the Brain
- (2018) John Ford et al. Contrast Media & Molecular Imaging
- Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study
- (2018) Qiuyu Wang et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions
- (2017) Valentina D.A. Corino et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels
- (2017) Muhammad Shafiq-ul-Hassan et al. MEDICAL PHYSICS
- Harmonizing the pixel size in retrospective computed tomography radiomics studies
- (2017) Dennis Mackin et al. PLoS One
- Radiomics: Images Are More than Pictures, They Are Data
- (2016) Robert J. Gillies et al. RADIOLOGY
- Effects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of radiomics signature in solitary pulmonary nodule
- (2016) Lan He et al. Scientific Reports
- Impact of image preprocessing on the volume dependence and prognostic potential of radiomics features in non-small cell lung cancer
- (2016) Xenia Fave et al. Translational Cancer Research
- Measuring Computed Tomography Scanner Variability of Radiomics Features
- (2015) Dennis Mackin et al. INVESTIGATIVE RADIOLOGY
- Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?
- (2015) Xenia Fave et al. MEDICAL PHYSICS
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
- (2014) Hugo J. W. L. Aerts et al. Nature Communications
- Comparison between intensity normalization techniques for dynamic susceptibility contrast (DSC)-MRI estimates of cerebral blood volume (CBV) in human gliomas
- (2012) Benjamin M. Ellingson et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- N4ITK: Improved N3 Bias Correction
- (2010) Nicholas J Tustison et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
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