Radiology A novel loss function to reproduce texture features for deep learning-based MRI-to-CT synthesis. December 3, 2023
Oncology | Radiology Comprehensive evaluation of similarity between synthetic and real CT images for nasopharyngeal carcinoma. November 8, 2023
Medical Imaging | Radiation Oncology | Radiology Efficient segmentation using domain adaptation for MRI-guided and CBCT-guided online adaptive radiotherapy. August 27, 2023
Medical Physics | Radiation Oncology Pretreatment information-aided automatic segmentation for online magnetic resonance imaging-guided prostate radiotherapy. July 14, 2023
Medical Imaging | Radiation Oncology | Radiology Improving accelerated 3D imaging in MRI-guided radiotherapy for prostate cancer using a deep learning method. July 1, 2023
Medical Physics | Radiation Oncology Deep learning framework to improve the quality of cone-beam computed tomography for radiotherapy scenarios. June 22, 2023
Medical Physics | Radiation Oncology Combining distance and anatomical information for deep-learning based dose distribution predictions for nasopharyngeal cancer radiotherapy planning. March 17, 2023
Radiation Oncology | Radiology A more effective CT synthesizer using transformers for cone-beam CT-guided adaptive radiotherapy. September 12, 2022
Adaptive Radiation Therapy | Medical Imaging | Radiation Oncology A two-step method to improve image quality of CBCT with phantom-based supervised and patient-based unsupervised learning strategies. March 30, 2022
Oncology | Radiology A feasible method to evaluate deformable image registration with deep learning-based segmentation. January 29, 2022
Medical Imaging | Radiation Oncology A deep-learning method for generating synthetic kV-CT and improving tumor segmentation for helical tomotherapy of nasopharyngeal carcinoma. October 26, 2021
Medical Physics | Radiation Oncology DVHnet: A deep-learning-based prediction of patient-specific dose volume histograms for radiotherapy planning. February 7, 2021