Impact of image preprocessing methods on reproducibility of radiomic features in multimodal magnetic resonance imaging in glioblastoma
出版年份 2019 全文链接
标题
Impact of image preprocessing methods on reproducibility of radiomic features in multimodal magnetic resonance imaging in glioblastoma
作者
关键词
-
出版物
Journal of Applied Clinical Medical Physics
Volume 21, Issue 1, Pages 179-190
出版商
Wiley
发表日期
2019-12-27
DOI
10.1002/acm2.12795
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Combining Multiple Magnetic Resonance Imaging Sequences Provides Independent Reproducible Radiomics Features
- (2019) A. Lecler et al. Scientific Reports
- Assessing robustness of radiomic features by image perturbation
- (2019) Alex Zwanenburg et al. Scientific Reports
- A radiomics nomogram based on multiparametric MRI might stratify glioblastoma patients according to survival
- (2019) Xi Zhang et al. EUROPEAN RADIOLOGY
- Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets
- (2019) Hyemin Um et al. PHYSICS IN MEDICINE AND BIOLOGY
- Repeatability and reproducibility of MRI-based radiomic features in cervical cancer
- (2019) Sandra Fiset et al. RADIOTHERAPY AND ONCOLOGY
- Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction
- (2018) Sohi Bae et al. RADIOLOGY
- Robustness and Reproducibility of Radiomics in Magnetic Resonance Imaging
- (2018) Bettina Baeßler et al. INVESTIGATIVE RADIOLOGY
- Quantitative variations in texture analysis features dependent on MRI scanning parameters: A phantom model
- (2018) Karen Buch et al. Journal of Applied Clinical Medical Physics
- The effect of motion correction interpolation on quantitative T1 mapping with MRI
- (2018) Amitay Nachmani et al. MEDICAL IMAGE ANALYSIS
- Attractive-and-repulsive center-symmetric local binary patterns for texture classification
- (2018) Y. El merabet et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- On the impact of smoothing and noise on robustness of CT and CBCT radiomics features for patients with head and neck cancers
- (2017) Hassan Bagher-Ebadian et al. MEDICAL PHYSICS
- Radiomics: the bridge between medical imaging and personalized medicine
- (2017) Philippe Lambin et al. Nature Reviews Clinical Oncology
- Current Clinical Brain Tumor Imaging
- (2017) Javier E. Villanueva-Meyer et al. NEUROSURGERY
- Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
- (2017) Spyridon Bakas et al. Scientific Data
- Relationship between necrotic patterns in glioblastoma and patient survival: fractal dimension and lacunarity analyses using magnetic resonance imaging
- (2017) Shuai Liu et al. Scientific Reports
- Applications and limitations of radiomics
- (2016) Stephen S F Yip et al. PHYSICS IN MEDICINE AND BIOLOGY
- Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models
- (2016) Philipp Kickingereder et al. RADIOLOGY
- Histogram-based normalization technique on human brain magnetic resonance images from different acquisitions
- (2015) Xiaofei Sun et al. Biomedical Engineering Online
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
- (2015) Bjoern H. Menze et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Methods on Skull Stripping of MRI Head Scan Images—a Review
- (2015) P. Kalavathi et al. JOURNAL OF DIGITAL IMAGING
- Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques
- (2015) Luke Macyszyn et al. NEURO-ONCOLOGY
- Test–Retest Reproducibility Analysis of Lung CT Image Features
- (2014) Yoganand Balagurunathan et al. JOURNAL OF DIGITAL IMAGING
- Molecular and cellular heterogeneity: the hallmark of glioblastoma
- (2014) Diane J. Aum et al. Neurosurgical Focus
- Advanced Statistical Matrices for Texture Characterization: Application to Cell Classification
- (2013) Guillaume Thibault et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
- (2013) Kenneth Clark et al. JOURNAL OF DIGITAL IMAGING
- A Generalized Laplacian of Gaussian Filter for Blob Detection and Its Applications
- (2013) Hui Kong et al. IEEE Transactions on Cybernetics
- Radiomics: Extracting more information from medical images using advanced feature analysis
- (2012) Philippe Lambin et al. EUROPEAN JOURNAL OF CANCER
- On Removing Interpolation and Resampling Artifacts in Rigid Image Registration
- (2012) I. Aganj et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- N4ITK: Improved N3 Bias Correction
- (2010) Nicholas J Tustison et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- The SRI24 multichannel atlas of normal adult human brain structure
- (2009) Torsten Rohlfing et al. HUMAN BRAIN MAPPING
- MRI denoising using Non-Local Means
- (2008) J MANJON et al. MEDICAL IMAGE ANALYSIS
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started