publication venue for
- Reduced-distortion diffusion weighted imaging for head and neck radiotherapy.. 32. 2024
- Multi-modality imaging parameters that predict rapid tumor regression in head and neck radiotherapy.. 31. 2024
- Artificial intelligence-based automated segmentation and radiotherapy dose mapping for thoracic normal tissues.. 29. 2024
- Automatically tracking brain metastases after stereotactic radiosurgery.. 27. 2023
- View-sharing for 4D magnetic resonance imaging with randomized projection-encoding enables improvements of respiratory motion imaging for treatment planning in abdominothoracic radiotherapy.. 25. 2023
- Validation of an established deep learning auto-segmentation tool for cardiac substructures in 4D radiotherapy planning scans.. 23. 2022
- Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy.. 19. 2021
- Cardio-pulmonary substructure segmentation of radiotherapy computed tomography images using convolutional neural networks for clinical outcomes analysis.. 14. 2020
- Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy.. 12. 2019
- A case-control study using motion-inclusive spatial dose-volume metrics to account for genito-urinary toxicity following high-precision radiotherapy for prostate cancer.. 7. 2018
- A Magnetic Resonance Imaging-based approach to quantify radiation-induced normal tissue injuries applied to trismus in head and neck cancer.. 1. 2017