29 citations · 44 across the 5 of their papers we have counts for
5 papers
Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases
Yinong Wang, Jianhua Yao, Holger R. Roth +2
Accurate spine segmentation allows for improved identification and quantitative characterization of abnormalities of the vertebra, such as vertebral fractures. However, in existing…
Deep convolutional networks for automated detection of posterior-element fractures on spine CT
Holger R. Roth, Yinong Wang, Jianhua Yao +3
Injuries of the spine, and its posterior elements in particular, are a common occurrence in trauma patients, with potentially devastating consequences. Computer-aided detection (CA…
Osteoporotic and Neoplastic Compression Fracture Classification on Longitudinal CT
Yinong Wang, Jianhua Yao, Joseph E. Burns +1
Classification of vertebral compression fractures (VCF) having osteoporotic or neoplastic origin is fundamental to the planning of treatment. We developed a fracture classification…
Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT
Yinong Wang, Jianhua Yao, Holger R. Roth +2
The precise and accurate segmentation of the vertebral column is essential in the diagnosis and treatment of various orthopedic, neurological, and oncological traumas and pathologi…
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications
Holger R. Roth, Jianhua Yao, Le Lu +3
Automated detection of sclerotic metastases (bone lesions) in Computed Tomography (CT) images has potential to be an important tool in clinical practice and research. State-of-the-…