33 results on '"Leijenaar, Ralph T.H."'
Search Results
2. Computed Tomography-based Radiomics for Risk Stratification in Prostate Cancer
3. Longitudinal radiomics of cone-beam CT images from non-small cell lung cancer patients: Evaluation of the added prognostic value for overall survival and locoregional recurrence
4. Post-radiochemotherapy PET radiomics in head and neck cancer – The influence of radiomics implementation on the reproducibility of local control tumor models
5. 4DCT imaging to assess radiomics feature stability: An investigation for thoracic cancers
6. Predictive and prognostic value of CT based radiomics signature in locally advanced head and neck cancers patients treated with concurrent chemoradiotherapy or bioradiotherapy and its added value to Human Papillomavirus status
7. Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images
8. Individualized early death and long-term survival prediction after stereotactic radiosurgery for brain metastases of non-small cell lung cancer: Two externally validated nomograms
9. Exploring Hypoxia in Prostate Cancer With T2-weighted Magnetic Resonance Imaging Radiomics and Pimonidazole Scoring
10. Radiomics: the bridge between medical imaging and personalized medicine
11. ‘Rapid Learning health care in oncology’ – An approach towards decision support systems enabling customised radiotherapy’
12. Decision support systems for personalized and participative radiation oncology☆
13. An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography
14. Comparison of radiomic pre-processing steps in the reproducible prediction of disease free survival across multi-scanners/centers
15. Privacy preserving distributed learning classifiers – Sequential learning with small sets of data
16. A review in radiomics: Making personalized medicine a reality via routine imaging
17. External validation of a radiomic signature to predict HPV (p16) status from standard CT images of anal and vulvar cancer patients.
18. Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures
19. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
20. El papel emergente de la radiómica en la EPOC y el cáncer de pulmón
21. The Emerging Role of Radiomics in COPD and Lung Cancer
22. Decision Support Systems in Oncology
23. A review in radiomics: Making personalized medicine a reality via routine imaging.
24. Applicability of a prognostic CT-based radiomic signature model trained on stage I-III non-small cell lung cancer in stage IV non-small cell lung cancer
25. ?€?Rapid Learning health care in oncology?€™ ?€' An approach towards decision support systems enabling customised radiotherapy?€™
26. Test–Retest Data for Radiomics Feature Stability Analysis: Generalizable or Study-Specific?
27. Erratum:Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (Nature Communications (2014) 5 (4006) DOI: 10.1038/ncomms5006)
28. Is there a causal relationship between genetic changes and radiomics-based image features? An in vivo preclinical experiment with doxycycline inducible GADD34 tumor cells
29. The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
30. CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
31. Correction: Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
32. Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach.
33. Predictive and prognostic value of CT based radiomics signature in locally advanced head and neck cancers patients treated with concurrent chemoradiotherapy or bioradiotherapy and its added value to Human Papillomavirus status.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.