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1. Delphi consensus on stereotactic ablative radiotherapy for oligometastatic and oligoprogressive renal cell carcinoma—a European Society for Radiotherapy and Oncology study endorsed by the European Association of Urology

3. Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy

4. MRI-guided radiotherapy in twenty fractions for localised prostate cancer: results from the MOMENTUM study

5. Recommendations for improved reproducibility of ADC derivation on behalf of the Elekta MRI-linac consortium image analysis working group

6. From once-weekly to semi-weekly whole prostate gland stereotactic radiotherapy with focal boosting: Primary endpoint analysis of the multicenter phase II hypo-FLAME 2.0 trial

7. Magnetic Resonance-Guided Adaptive Radiation therapy for Prostate Cancer: The First Results from the MOMENTUM study-An International Registry for the Evidence-Based Introduction of Magnetic Resonance-Guided Adaptive Radiation Therapy

8. An ESTRO-ACROP guideline on quality assurance and medical physics commissioning of online MRI guided radiotherapy systems based on a consensus expert opinion

12. Adaptive magnetic resonance image guided radiation for intact localized prostate cancer how to optimally test a rapidly emerging technology

14. 'Who needs a mean dose if you can FLAME?'

15. Urethral and bladder dose-effect relations for late genitourinary toxicity following external beam radiotherapy for prostate cancer in the FLAME trial

19. Focal Boost to the Intraprostatic Tumor in External Beam Radiotherapy for Patients With Localized Prostate Cancer: Results From the FLAME Randomized Phase III Trial

21. Focal Boost to the Intraprostatic Tumor in External Beam Radiotherapy for Patients With Localized Prostate Cancer: Results From the FLAME Randomized Phase III Trial

24. Deep learning-based MR-to-CT synthesis : The influence of varying gradient echo-based MR images as input channels

25. Deep learning-based MR-to-CT synthesis: The influence of varying gradient echo-based MR images as input channels

26. Primary endpoint analysis of the multicentre phase II hypo-FLAME trial for intermediate and high risk prostate cancer

27. Knowledge-Based Assessment of Focal Dose Escalation Treatment Plans in Prostate Cancer

29. Quantitative MRI Changes During Weekly Ultra-Hypofractionated Prostate Cancer Radiotherapy With Integrated Boost

30. Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels

31. Visualization of gold fiducial markers in the prostate using phase-cycled bSSFP imaging for MRI-only radiotherapy

34. Adaptive radiotherapy : The Elekta Unity MR-linac concept

35. Soft-tissue prostate intrafraction motion tracking in 3D cine-MR for MR-guided radiotherapy

36. MRI-Guided Ultrafocal HDR Brachytherapy for Localized Prostate Cancer: Median 4-Year Results of a feasibility study

37. Gross Tumor Delineation in Esophageal Cancer on MRI Compared With 18F-FDG-PET/CT

38. Quantitative MRI Changes During Weekly Ultra-Hypofractionated Prostate Cancer Radiotherapy With Integrated Boost

39. Visualization of gold fiducial markers in the prostate using phase-cycled bSSFP imaging for MRI-only radiotherapy

41. Gross Tumor Delineation in Esophageal Cancer on MRI Compared With 18F-FDG-PET/CT

42. Quantitative MRI Changes During Weekly Ultra-Hypofractionated Prostate Cancer Radiotherapy With Integrated Boost

43. MRI-Guided Ultrafocal HDR Brachytherapy for Localized Prostate Cancer: Median 4-Year Results of a feasibility study

44. Visualization of gold fiducial markers in the prostate using phase-cycled bSSFP imaging for MRI-only radiotherapy

45. Adaptive radiotherapy: The Elekta Unity MR-linac concept

46. Soft-tissue prostate intrafraction motion tracking in 3D cine-MR for MR-guided radiotherapy

47. A dual-purpose MRI acquisition to combine 4D-MRI and dynamic contrast-enhanced imaging for abdominal radiotherapy planning

48. Magnetic Resonance Imaging-Guided Adaptive Radiation Therapy: A 'Game Changer' for Prostate Treatment?

49. R-IDEAL: A Framework for Systematic Clinical Evaluation of Technical Innovations in Radiation Oncology

50. Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels.

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