Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Saba Momeni, Amir Fazlollahi, Pierrick Bourgeat, Parnesh Raniga, Paul A. Yates, Nawaf Yassi, Patricia M. Desmond, Jurgen Fripp, Yongsheng Gao, Olivier Salvado. Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI. In Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos, editors, Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Volume 11037 of Lecture Notes in Computer Science, pages 12-19, Springer, 2018. [doi]

This author has not been identified. Look up 'Saba Momeni' in GoogleThis author has not been identified. Look up 'Amir Fazlollahi' in GoogleThis author has not been identified. Look up 'Pierrick Bourgeat' in GoogleThis author has not been identified. Look up 'Parnesh Raniga' in GoogleThis author has not been identified. Look up 'Paul A. Yates' in GoogleThis author has not been identified. Look up 'Nawaf Yassi' in GoogleThis author has not been identified. Look up 'Patricia M. Desmond' in GoogleThis author has not been identified. Look up 'Jurgen Fripp' in GoogleThis author has not been identified. Look up 'Yongsheng Gao' in GoogleThis author has not been identified. Look up 'Olivier Salvado' in Google

runs on WebDSL