Deep Learning for Volumetric Segmentation in Spatio-Temporal Data: Application to Segmentation of Prostate in DCE-MRI. Kang, J., Samarasinghe, G., Senanayake, U., Conjeti, S., & Sowmya, A. In 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, pages 61–65, 2019. IEEE.
Deep Learning for Volumetric Segmentation in Spatio-Temporal Data: Application to Segmentation of Prostate in DCE-MRI [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/isbi/KangSSCS19,
  author    = {Jian Kang and
               Gihan Samarasinghe and
               Upul Senanayake and
               Sailesh Conjeti and
               Arcot Sowmya},
  title     = {Deep Learning for Volumetric Segmentation in Spatio-Temporal Data:
               Application to Segmentation of Prostate in {DCE-MRI}},
  booktitle = {16th {IEEE} International Symposium on Biomedical Imaging, {ISBI}
               2019, Venice, Italy, April 8-11, 2019},
  pages     = {61--65},
  publisher = {{IEEE}},
  year      = {2019},
  url       = {https://doi.org/10.1109/ISBI.2019.8759314},
  doi       = {10.1109/ISBI.2019.8759314},
  timestamp = {Wed, 16 Oct 2019 14:14:52 +0200},
  biburl    = {https://dblp.org/rec/conf/isbi/KangSSCS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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