Summers, Ronald M.

9 publications

CVPR 2019 Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers

CVPR 2018 Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers

CVPR 2018 TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers

CVPR 2017 ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers

WACV 2017 Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers

WACV 2016 Accurate 3D Bone Segmentation in Challenging CT Images: Bottom-up Parsing and Contextualized Optimization Le Lu, Dijia Wu, Nathan Lay, David Liu, Isabella Nogues, Ronald M. Summers

JMLR 2016 Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers

CVPR 2016 Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers

CVPR 2015 Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers