96 results on '"Dekker, Andre"'
Search Results
2. Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study
3. Effect of mobile phone messaging on uptake of maternal and child health service in southern Ethiopia: Protocol for cluster randomized controlled trial
4. The value of PROMs for predicting erectile dysfunction in prostate cancer patients with Bayesian network
5. SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation
6. Data Harmonization and Federated Learning for Multi-Cohort Dementia Research Using the OMOP Common Data Model: A Netherlands Consortium of Dementia Cohorts Case Study
7. Defining the role of real-world data in cancer clinical research: The position of the European Organisation for Research and Treatment of Cancer
8. Advances in radiotherapy and its impact on second primary cancer risk: A multi-center cohort study in prostate cancer patients
9. Multi-centre Radiomics for prediction of recurrence following Radical Radiotherapy for Head and Neck Cancers: Consequences of feature selection, machine learning classifiers and batch-effect harmonization
10. Systematic review and meta-analysis of prediction models used in cervical cancer
11. Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune checkpoint inhibitors
12. Radiomics and Dosiomics Signature From Whole Lung Predicts Radiation Pneumonitis: A Model Development Study With Prospective External Validation and Decision-curve Analysis
13. Computed tomography and radiation dose images-based deep-learning model for predicting radiation pneumonitis in lung cancer patients after radiation therapy
14. Pcr and 2-Year Disease-Free Survival: A Combination of the Two Endpoints as a New Classification for Locally Advanced Rectal Cancer Patients. An Updated Pooled Analysis of Eleven International Randomized Trials
15. EVALUATING THE FEASIBILITY OF USING DEEP LEARNING MODELS FOR SYNTHETIC IMAGE GENERATION IN ADAPTIVE RADIOTHERAPY
16. A FEDERATED LEARNING IT-INFRASTRUCTURE TO SUPPORT THE DUTCH MODEL-BASED APPROACH FOR PROTON THERAPY
17. GENERATIVE ADVERSARIAL NETWORKS BASED GROUND GLASS OPACITIES (GGOS) SYNTHETIC
18. DEEP LEARNING SEGMENTATION OF HEART SUBSTRUCTURES IN RADIOTHERAPY TREATMENT PLANNING
19. BERT NLP MODEL FOR MULTICLASS CLASSIFICATION OF RADIOLOGY REPORTS
20. Clinical evaluation of automated segmentation for body composition analysis on abdominal L3 CT slices in polytrauma patients
21. Independent validation of a dysphagia dose response model for the selection of head and neck cancer patients to proton therapy
22. Generative models improve radiomics performance in different tasks and different datasets: An experimental study
23. Bayesian network structure for predicting local tumor recurrence in rectal cancer patients treated with neoadjuvant chemoradiation followed by surgery
24. Prediction models for treatment-induced cardiac toxicity in patients with non-small-cell lung cancer: A systematic review and meta-analysis
25. Using clinical prediction models to personalise lifestyle interventions for cardiovascular disease prevention: A systematic literature review
26. A knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry
27. Radiomics integration into a picture archiving and communication system
28. A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features
29. Exploring Associations of Preoperative Physical Performance With Postoperative Outcomes After Lumbar Spinal Fusion: A Machine Learning Approach
30. Deciphering the glioblastoma phenotype by computed tomography radiomics
31. Predicting outcomes in anal cancer patients using multi-centre data and distributed learning – A proof-of-concept study
32. Overall survival nomogram for patients with spinal bone metastases (SBM)
33. Systematic review of radiomic biomarkers for predicting immune checkpoint inhibitor treatment outcomes
34. Making radiotherapy more efficient with FAIR data
35. Timing to achieve the highest rate of pCR after preoperative radiochemotherapy in rectal cancer: a pooled analysis of 3085 patients from 7 randomized trials
36. External validation of nodal failure prediction models including radiomics in head and neck cancer
37. From multisource data to clinical decision aids in radiation oncology: The need for a clinical data science community
38. Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics
39. Ontologies in radiation oncology
40. Machine learning helps identifying volume-confounding effects in radiomics
41. Distributed learning on 20 000+ lung cancer patients – The Personal Health Train
42. Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients
43. User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions
44. Prognostic Factors for Survival in Patients with Oral Cavity Cancer: A Comparison of the Netherlands and Taiwan Using Privacy-Preserving Federated Analyses
45. Characterisation and classification of oligometastatic disease: a European Society for Radiotherapy and Oncology and European Organisation for Research and Treatment of Cancer consensus recommendation
46. Learning from scanners: Bias reduction and feature correction in radiomics
47. Minimum Data Elements for Radiation Oncology: An American Society for Radiation Oncology Consensus Paper
48. 163 Application of Novel Radiotherapy and Imaging Features for Head and Neck Patient Locoregional Failure Predictions
49. ASTRO Journals’ Data Sharing Policy and Recommended Best Practices
50. Electronic Health Record implementation in a large academic radiotherapy department: Temporarily disruptions but long-term benefits
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