Search results

• 2017

  A deep cascade of convolutional neural networks for MR image reconstruction

  Schlemper, J., Caballero, J., Hajnal, J. V., Price, A. & Rueckert, D., 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Springer Verlag, Vol. 10265 LNCS. p. 647-658 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review

  • Image Reconstruction 100%
  • Dictionary Learning 100%
  • Convolutional Neural Network 100%
  • Magnetic Resonance Imaging 100%
  • Real-Time Application 50%
  158 Citations (Scopus)

• Context-sensitive super-resolution for fast fetal magnetic resonance imaging

  McDonagh, S., Hou, B., Alansary, A., Oktay, O., Kamnitsas, K., Rutherford, M., Hajnal, J. & Kainz, B., 9 Sept 2017, (E-pub ahead of print) Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - 5th International Workshop, CMMI 2017 2nd International Workshop, RAMBO 2017 and 1st International Workshop, SWITCH 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10555 LNCS. p. 116-126 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10555 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review

  • Contexts 100%
  • Magnetic Resonance Imaging 100%
  • Image Acquisition 66%
  • Generation 33%
  • Neural Network Model 33%
  26 Citations (Scopus)

• Predicting slice-to-volume transformation in presence of arbitrary subject motion

  Hou, B., Alansary, A., McDonagh, S., Davidson, A., Rutherford, M., Hajnal, J. V., Rueckert, D., Glocker, B. & Kainz, B., 4 Sept 2017, (E-pub ahead of print) Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Springer Verlag, Vol. 10434 LNCS. p. 296-304 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10434 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review

  • Regression 100%
  • Transformations 100%
  • Initialization 100%
  • Convolutional Neural Network 100%
  • Application 50%
  37 Citations (Scopus)
• 2014

  Parcellation-Independent Multi-Scale Framework for Brain Network Analysis

  Schirmer, MD., Ball, G., Counsell, SJ., Edwards, AD., Rueckert, D., Hajnal, JV. & Aljabar, P., 2014, Computational Diffusion MRI. Springer/Kluwer, p. 23-32 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review

  3 Citations (Scopus)