Medical Physics | Radiation Oncology Deep Learning-based Protoacoustic Signal Denoising for Proton Range Verification. May 4, 2023
Medical Physics | Radiation Oncology A comparative study of deep learning-based knowledge-based planning methods for 3D dose distribution prediction of head and neck. May 4, 2023
Medical Physics | Radiation Oncology Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer. May 4, 2023
Medical Physics | Radiation Oncology Implementation and Evaluation of an Intelligent Automatic Treatment Planning Robot for Prostate Cancer Stereotactic Body Radiation Therapy. April 29, 2023
Biomedical imaging | Medical Physics | Radiology Adaptive enhancement of acoustic resolution photoacoustic microscopy imaging deep CNN prior. April 25, 2023
Medical Physics | Radiation Oncology CBCT-based synthetic CT generated using CycleGAN with HU correction for adaptive radiotherapy of nasopharyngeal carcinoma. April 24, 2023
Medical Physics | Radiation Oncology Fast Dcalculation in LDR brachytherapy using deep learning methods. April 14, 2023
Medical Physics | Radiation Oncology Accurate and Fast Deep Learning Dose Prediction for a Preclinical Microbeam Radiation Therapy Study Using Low-Statistics Monte Carlo Simulations. April 13, 2023
Medical Physics | Radiology Usefulness of copper filters in digital chest radiography based on the relationship between effective detective quantum efficiency and deep learning-based segmentation accuracy of the tumor area. April 12, 2023
Medical Physics | Radiation Oncology Self-configuring nnU-Net for automatic delineation of the organs at risk and target in high-dose rate cervical brachytherapy, a low/middle-income country’s experience. April 12, 2023
Medical Physics | Radiation Oncology A deep learning-based approach for statistical robustness evaluation in proton therapy treatment planning: a feasibility study. April 11, 2023
Medical Physics | Radiation Oncology First report on physician assessment and clinical acceptability of custom-retrained AI models for clinical target volume and organs-at-risk auto-delineation for post-prostatectomy patients. April 8, 2023