46 results on '"Zwanenburg, Alex"'
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2. Modelling for Radiation Treatment Outcome
3. Coronary Artery Calcium Scoring Using Virtual Versus True Noncontrast Images From Photon-Counting Coronary CT Angiography
4. The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights
5. METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
6. Comparative analysis of radiomics and deep-learning algorithms for survival prediction in hepatocellular carcinoma
7. Multitask Learning with Convolutional Neural Networks and Vision Transformers Can Improve Outcome Prediction for Head and Neck Cancer Patients
8. An Integrative Analysis of Image Segmentation and Survival of Brain Tumour Patients
9. Standardisation and harmonisation efforts in quantitative imaging
10. Prediction of clinically relevant postoperative pancreatic fistula using radiomic features and preoperative data
11. Supplementary Tables and Figures from Development and Validation of a Gene Signature for Patients with Head and Neck Carcinomas Treated by Postoperative Radio(chemo)therapy
12. Supplementary Tables and Figures from Development and Validation of a Gene Signature for Patients with Head and Neck Carcinomas Treated by Postoperative Radio(chemo)therapy
13. Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy
14. Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy
15. Prediction of clinically relevant postoperative pancreatic fistula using radiomic features and preoperative data
16. Integrated radiogenomics analyses allow for subtype classification and improved outcome prognosis of patients with locally advanced HNSCC
17. Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models
18. Building reliable radiomic models using image perturbation
19. Radiomics-based tumor phenotype determination based on medical imaging and tumor microenvironment in a preclinical setting
20. Building Reliable Radiomic Models Using Image Perturbation
21. An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication
22. Definition and validation of a radiomics signature for loco-regional tumour control in patients with locally advanced head and neck squamous cell carcinoma
23. Pictures worth more than a thousand words: Prediction of survival in medulloblastoma patients
24. Comprehensive Analysis of Tumour Sub-Volumes for Radiomic Risk Modelling in Locally Advanced HNSCC
25. 2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma
26. Comparison of patient stratification by computed tomography radiomics and hypoxia positron emission tomography in head-and-neck cancer radiotherapy
27. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
28. Why -aVF can be used in STAN as a proxy for scalp electrode-derived signal; reply to comments by Kjellmer et al.
29. Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis
30. RaCaT: An open source and easy to use radiomics calculator tool
31. Assessing robustness of radiomic features by image perturbation
32. CT imaging during treatment improves radiomic models for patients with locally advanced head and neck cancer
33. Why validation of prognostic models matters?
34. ST waveform analysis for monitoring hypoxic distress in fetal sheep after prolonged umbilical cord occlusion
35. Development and Validation of a Gene Signature for Patients with Head and Neck Carcinomas Treated by Postoperative Radio(chemo)therapy
36. Responsible Radiomics Research for Faster Clinical Translation
37. A comparative study of machine learning methods for time-to-event survival data for radiomics risk modelling
38. Mesenchymal Stromal Cell-Derived Extracellular Vesicles Protect the Fetal Brain After Hypoxia-Ischemia
39. Comparison of ECG-based physiological markers for hypoxia in a preterm ovine model
40. Multipotent adult progenitor cells for hypoxic-ischemic injury in the preterm brain
41. Propofol administration to the maternal-fetal unit improved fetal EEG and influenced cerebral apoptotic pathway in preterm lambs suffering from severe asphyxia
42. Using trend templates in a neonatal seizure algorithm improves detection of short seizures in a foetal ovine model
43. Systemic G-CSF attenuates cerebral inflammation and hypomyelination but does not reduce seizure burden in preterm sheep exposed to global hypoxia–ischemia
44. Mesenchymal Stem Cells Induce T-Cell Tolerance and Protect the Preterm Brain after Global Hypoxia-Ischemia
45. Cerebral inflammation and mobilization of the peripheral immune system following global hypoxia-ischemia in preterm sheep
46. Heart rate–mediated blood pressure control in preterm fetal sheep under normal and hypoxic–ischemic conditions
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