Medical Imaging | Radiation Oncology Localized fine-tuning and clinical evaluation of deep-learning based auto-segmentation (DLAS) model for clinical target volume (CTV) and organs-at-risk (OAR) in rectal cancer radiotherapy. July 3, 2024
Medical Imaging | Radiation Oncology Towards deep-learning (DL) based fully automated target delineation for rectal cancer neoadjuvant radiotherapy using a divide-and-conquer strategy: a study with multicenter blind and randomized validation. October 6, 2023
Radiation Oncology | Radiology Clinical Validation and Treatment Plan Evaluation Based on Autodelineation of the Clinical Target Volume for Prostate Cancer Radiotherapy. March 30, 2023
Oncology | Radiology Deep Learning for Automated Contouring of Gross Tumor Volumes in Esophageal Cancer. August 4, 2022
Oncology | Radiation Oncology | Radiology A blind randomized validated convolutional neural network for auto-segmentation of clinical target volume in rectal cancer patients receiving neoadjuvant radiotherapy. November 23, 2021
Radiation Oncology An Adversarial Deep-Learning-Based Model for Cervical Cancer CTV Segmentation With Multicenter Blinded Randomized Controlled Validation. September 7, 2021
Medical Imaging | Radiation Oncology Development and Validation of a Deep Learning Algorithm for Auto-delineation of Clinical Target Volume and Organs at Risk in Cervical Cancer Radiotherapy. October 11, 2020