Search results

• 2019

  Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets

  Dorent, R., Li, W., Ekanayake, J., Ourselin, S. & Vercauteren, T., 2019, Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. London, United Kingdom: PMLR, Vol. 102. p. 164--174 11 p. (Proceedings of Machine Learning Research).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Segmentation 100%
  • Brain Lesion 100%
  • Roles 50%
  • Building-Blocks 50%
  • Segmentation Approach 50%
  2 Citations (Scopus)

  55 Downloads (Pure)
• 2018

  An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI

  Ebner, M., Wang, G., Li, W., Aertsen, M., Patel, P. A., Aughwane, R., Melbourne, A., Doel, T., David, A. L., Deprest, J., Ourselin, S. & Vercauteren, T., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, Vol. 11070. p. 313-320 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Segmentation 100%
  • Convolutional Neural Network 40%
  • super resolution 40%
  • Roles 20%
  • User Interaction 20%
  38 Citations (Scopus)