Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning

Jun-Ho Kim, Mohammed A. Al-masni, Seul Lee, Haejoon Lee, Dong-hyun Kim. Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning. In Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li 0001, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part I. Volume 13431 of Lecture Notes in Computer Science, pages 452-460, Springer, 2022. [doi]

@inproceedings{KimALLK22,
  title = {Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning},
  author = {Jun-Ho Kim and Mohammed A. Al-masni and Seul Lee and Haejoon Lee and Dong-hyun Kim},
  year = {2022},
  doi = {10.1007/978-3-031-16431-6_43},
  url = {https://doi.org/10.1007/978-3-031-16431-6_43},
  researchr = {https://researchr.org/publication/KimALLK22},
  cites = {0},
  citedby = {0},
  pages = {452-460},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part I},
  editor = {Linwei Wang and Qi Dou and P. Thomas Fletcher and Stefanie Speidel and Shuo Li 0001},
  volume = {13431},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-16431-6},
}