Jo Hajnal
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  • 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 proceedingOther chapter contributionpeer-review

    194 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 proceedingOther chapter contributionpeer-review

    30 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 proceedingOther chapter contributionpeer-review

    39 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 proceedingOther chapter contributionpeer-review

    3 Citations (Scopus)
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