578 results on '"Beets-Tan, Regina G. H."'
Search Results
2. Generalizability, robustness, and correction bias of segmentations of thoracic organs at risk in CT images
3. Heterogeneity in response to neoadjuvant radiotherapy between soft tissue sarcoma histotypes: associations between radiology and pathology findings
4. Muscle atrophy and organ enlargement associated with quality of life during systemic therapy for melanoma: findings from an AI-based body composition analysis
5. Neoadjuvant nivolumab and relatlimab in locally advanced MMR-deficient colon cancer: a phase 2 trial
6. Added value of body MRI to detect primary abdominal malignancies in the diagnostic work-up of patients with adenocarcinoma of unknown primary
7. Artificial intelligence-assisted double reading of chest radiographs to detect clinically relevant missed findings: a two-centre evaluation
8. Imaging in pelvic exenteration—a multidisciplinary practice guide from the ESGAR-SAR-ESUR-PelvEx collaborative group
9. An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study
10. METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
11. Independent validation of CT radiomics models in colorectal liver metastases: predicting local tumour progression after ablation
12. Multi-omics staging of locally advanced rectal cancer predicts treatment response: a pilot study
13. Outcomes and potential impact of a virtual hands-on training program on MRI staging confidence and performance in rectal cancer
14. Can blood-based markers predict RECIST progression in non-small cell lung cancer treated with immunotherapy?
15. Development and multicenter validation of a multiparametric imaging model to predict treatment response in rectal cancer
16. Importance and evolution of split scar sign
17. Radiomics and artificial intelligence in breast imaging: a survey
18. Predicting response to chemoradiotherapy in rectal cancer via visual morphologic assessment and staging on baseline MRI: a multicenter and multireader study
19. Evaluation of National Surgical Practice for Lateral Lymph Nodes in Rectal Cancer in an Untrained Setting
20. Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI)
21. Comparison of MRI response evaluation methods in rectal cancer: a multicentre and multireader validation study
22. Artificial intelligence-based diagnosis of asbestosis: analysis of a database with applicants for asbestosis state aid
23. A European Society of Oncologic Imaging (ESOI) survey on the radiological assessment of response to oncologic treatments in clinical practice
24. Radiomic signatures from T2W and DWI MRI are predictive of tumour hypoxia in colorectal liver metastases
25. Multi-modal artificial intelligence for the combination of automated 3D breast ultrasound and mammograms in a population of women with predominantly dense breasts
26. Predicting breast cancer types on and beyond molecular level in a multi-modal fashion
27. MRI anatomy of the rectum: key concepts important for rectal cancer staging and treatment planning
28. Author Correction: Federated learning enables big data for rare cancer boundary detection
29. ESR Bridges: enhancing radiology through multidisciplinary collaboration
30. External validation of an MR-based radiomic model predictive of locoregional control in oropharyngeal cancer
31. Safety and efficacy of RFA versus MWA for T1a renal cell carcinoma: a propensity score analysis
32. ASO Visual Abstract: Evaluation of National Surgical Practice for Lateral Lymph Nodes in Rectal Cancer in an Untrained Setting
33. Significant improvement after training in the assessment of lateral compartments and short-axis measurements of lateral lymph nodes in rectal cancer
34. Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force
35. GEP-NET radiomics: a systematic review and radiomics quality score assessment
36. The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation
37. Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility
38. Differences in the distribution of peritoneal metastases in right- versus left-sided colon cancer on MRI
39. Retrospective evaluation of national MRI reporting quality for lateral lymph nodes in rectal cancer patients and concordance with prospective re-evaluation following additional training
40. Federated learning enables big data for rare cancer boundary detection
41. Evolutions in rectal cancer MRI staging and risk stratification in The Netherlands
42. Studying local tumour heterogeneity on MRI and FDG-PET/CT to predict response to neoadjuvant chemoradiotherapy in rectal cancer
43. Introducing the Node Reporting and Data System 1.0 (Node-RADS): a concept for standardized assessment of lymph nodes in cancer
44. CT-Based Radiomics Analysis Before Thermal Ablation to Predict Local Tumor Progression for Colorectal Liver Metastases
45. Massively parallel sequencing analysis of 68 gastric-type cervical adenocarcinomas reveals mutations in cell cycle-related genes and potentially targetable mutations
46. Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases
47. Clinical response assessment on DW-MRI compared with FDG-PET/CT after neoadjuvant chemoradiotherapy in patients with oesophageal cancer
48. Local staging of ipsilateral breast tumor recurrence: mammography, ultrasound, or MRI?
49. Extent of Peritoneal Metastases on Preoperative DW-MRI is Predictive of Disease-Free and Overall Survival for CRS/HIPEC Candidates with Colorectal Cancer
50. Selection of Patients for Organ Preservation After Chemoradiotherapy: MRI Identifies Poor Responders Who Can Go Straight to Surgery
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