Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI

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]

@inproceedings{MomeniFBRYYDFGS18,
  title = {Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI},
  author = {Saba Momeni and Amir Fazlollahi and Pierrick Bourgeat and Parnesh Raniga and Paul A. Yates and Nawaf Yassi and Patricia M. Desmond and Jurgen Fripp and Yongsheng Gao and Olivier Salvado},
  year = {2018},
  doi = {10.1007/978-3-030-00536-8_2},
  url = {https://doi.org/10.1007/978-3-030-00536-8_2},
  researchr = {https://researchr.org/publication/MomeniFBRYYDFGS18},
  cites = {0},
  citedby = {0},
  pages = {12-19},
  booktitle = {Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings},
  editor = {Ali Gooya and Orcun Goksel and Ipek Oguz and Ninon Burgos},
  volume = {11037},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-00536-8},
}