Medical Imaging | Radiation Oncology A 4D-CBCT correction network based on contrastive learning for dose calculation in lung cancer. February 9, 2024
Medical Physics | Radiation Oncology Deep learning-based conditional inpainting for restoration of artifact-affected 4D CT images. December 6, 2023
Biomedical Engineering | Medical Imaging | Radiology 4D-CT deformable image registration using unsupervised recursive cascaded full-resolution residual networks. November 29, 2023
Medical Physics | Radiation Oncology Deep learning based automatic internal gross target volume delineation from 4D-CT of hepatocellular carcinoma patients. November 22, 2023
Machine Learning | Radiation Oncology | Radiology A Bayesian optimization tunning integrated multi-stacking classifier framework for the prediction of radiodermatitis from 4D-CT of patients underwent breast cancer radiotherapy. June 29, 2023
Medical Imaging | Radiation Oncology Deep learning-based internal gross target volume definition in 4D CT images of lung cancer patients. November 18, 2022
Oncology | Radiation Oncology | Radiology Deterministic small-scale undulations of image-based risk predictions from the deep learning of lung tumors in motion. August 13, 2022
Radiology | Radiotherapy Patient-specific deep learning model to enhance 4D-CBCT image for radiomics analysis. March 21, 2022
Oncology | Radiology Lung tumor segmentation in 4D CT images using motion convolutional neural networks. September 1, 2021
Medical Physics | Radiology A generative adversarial network (GAN)-based technique for synthesizing realistic respiratory motion in the extended cardiac-torso (XCAT) phantoms. June 1, 2021
Oncology | Radiation Therapy | Radiology Respiratory deformation registration in 4D-CT/cone beam CT using deep learning. February 3, 2021