Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors

Gelijkaardige items

• Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors
  door: Marvin F. Ribeiro, et al.
  Gepubliceerd in: (2023-08-01)
• Enhancing patient-specific deep learning based segmentation for abdominal magnetic resonance imaging-guided radiation therapy: A framework conditioned on prior segmentation
  door: Francesca De Benetti, et al.
  Gepubliceerd in: (2025-04-01)
• Deep learning application for abdominal organs segmentation on 0.35 T MR-Linac images
  door: You Zhou, et al.
  Gepubliceerd in: (2024-01-01)
• Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer
  door: Maria Kawula, et al.
  Gepubliceerd in: (2023-10-01)
• Ventilation and perfusion MRI at a 0.35 T MR-Linac: feasibility and reproducibility study
  door: Rabea Klaar, et al.
  Gepubliceerd in: (2023-04-01)