Patient Specific Auto-Segmentation for MRgRT

Maria Kawula, Moritz Rabe, Yuqing Xiong, Guillaume Landry, Christopher Kurz
Feb 29, 2024

In this project, we aim at making use of planning imaging to enhance the performance and personalization of AI auto-segmentation models.

Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images

Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer

Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi-centric evaluation

Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer

Maria Kawula
Maria Kawula
Doctoral Student

My PhD project is on patient-specific methods for AI based segmentation.

Moritz Rabe
Moritz Rabe
Post Doctoral Researcher

My research interests include motion modelling and MRgRT.

Yuqing Xiong
Yuqing Xiong
Doctoral Student

My PhD project is on AI and dose accumulation for MRgRT.

Guillaume Landry
Guillaume Landry
Professor of Image Guided Radiation Therapy

My research interests include image guidance and artificial intelligence.

Christopher Kurz
Christopher Kurz
Group Leader in MR Guided Radiation Therapy

My research interests include MRgRT and CBCT imaging.