Radiation Oncology | Radiology HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challenge. June 25, 2024
Machine Learning | Medical Imaging | Radiation Oncology Generalizability of deep learning in organ-at-risk segmentation: A transfer learning study in cervical brachytherapy. May 19, 2024
Nuclear Medicine | Oncology | Radiology Automated segmentation of lesions and organs at risk on [Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR. February 29, 2024
Deep Learning | Medical Imaging | Radiation Oncology Small Samples and Low-Cost Auto-Segmentation Method for Pelvic Organ-at-Risk Segmentation in Magnetic Resonance Images Using Deep-Learning. October 3, 2023
Deep Learning | Radiation Oncology Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning. April 24, 2023
Medical Imaging | Radiation Oncology Comprehensive Head and Neck Organs at Risk Segmentation Using Stratified Learning and Neural Architecture Search. October 27, 2021
Medical Imaging | Radiation Oncology Deep-learning-based image registration and automatic segmentation of organs-at-risk in cone-beam CT scans from high-dose radiation treatment of pancreatic cancer. April 27, 2021
Medical Imaging | Radiation Oncology [Segmentation of organs at risk in nasopharyngeal cancer for radiotherapy using a self-adaptive Unet network]. November 27, 2020
Ophthalmology | Radiology Anatomically consistent CNN-based segmentation of organs-at-risk in cranial radiotherapy. February 17, 2020
Medical Physics | Radiation Oncology | Radiology Boosting-based Cascaded Convolutional Neural Networks for the Segmentation of CT Organs-at-risk in Nasopharyngeal Carcinoma. September 18, 2019
Medical Imaging | Radiation Oncology Organ-At-Risk Segmentation in Brain MRI using Model-Based Segmentation: Benefits of Deep Learning-Based Boundary Detectors. May 19, 2019
Medical Imaging | Radiation Oncology Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images. May 10, 2019