Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks

Aleksander Klibisz, Derek Rose, Matthew Eicholtz, Jay Blundon, Stanislav Zakharenko. Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks. In M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu, editors, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Volume 10553 of Lecture Notes in Computer Science, pages 285-293, Springer, 2017. [doi]

@inproceedings{KlibiszREBZ17,
  title = {Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks},
  author = {Aleksander Klibisz and Derek Rose and Matthew Eicholtz and Jay Blundon and Stanislav Zakharenko},
  year = {2017},
  doi = {10.1007/978-3-319-67558-9_33},
  url = {https://doi.org/10.1007/978-3-319-67558-9_33},
  researchr = {https://researchr.org/publication/KlibiszREBZ17},
  cites = {0},
  citedby = {0},
  pages = {285-293},
  booktitle = {Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings},
  editor = {M. Jorge Cardoso and Tal Arbel and Gustavo Carneiro and Tanveer F. Syeda-Mahmood and João Manuel R. S. Tavares and Mehdi Moradi and Andrew P. Bradley and Hayit Greenspan and João Paulo Papa and Anant Madabhushi and Jacinto C. Nascimento and Jaime S. Cardoso and Vasileios Belagiannis and Zhi Lu},
  volume = {10553},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-67558-9},
}