Centre for the Developing Brain

Research output

Research output per year 1982 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024

• 123022 Citations
• 1673 Article
• 132 Conference paper
• 58 Review article
• 51 Meeting abstract
• 107 More
  • 32 Chapter
  • 19 Editorial
  • 16 Comment/debate
  • 9 Literature review
  • 8 Letter
  • 7 Preprint
  • 6 Other chapter contribution
  • 3 Book
  • 2 Conference contribution
  • 2 Poster abstract
  • 2 Patent
  • 1 Abstract

Research output per year

Research output per year

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%
  • Convolutional Neural Network 100%
  • Magnetic Resonance Imaging 100%
  • Fold 66%
  • Dictionary Learning 66%
  211 Citations (Scopus)

• An efficient multi-resolution reconstruction scheme with motion compensation for 5d free-breathing whole-heart MRI

  Menchón-Lara, R. M., Royuela-del-Val, J., Godino-Moya, A., Cordero-Grande, L., Simmross-Wattenberg, F., Martín-Fernández, M. & Alberola-López, C., 2017, 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. 136-145 10 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

  • Breathing 100%
  • Motion Compensation 100%
  • Data Show 50%
  • Space Data 50%
  • Acceleration Factor 50%
  8 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

  • Image Acquisition 100%
  • super resolution 100%
  • Upsampling 100%
  • Neural Network Model 50%
  • Contextual Information 50%
  31 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

  • Transformations 100%
  • Initialization 66%
  • Convolutional Neural Network 66%
  • Prediction Time 33%
  • Ray Projection 33%
  40 Citations (Scopus)

• Semi-automatic cardiac and respiratory gated MRI for cardiac assessment during exercise

  Ruijsink, B., Puyol Anton, E., Usman, M., van Amerom, J., Duong, P., Velasco Forte, M., Pushparajah, K., Frigiola, A., Nordsletten, D., King, A. & Razavi, R., 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. 86-95 10 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

  • Exercise 100%
  • Magnetic Resonance Imaging 100%
  • Cardiac Magnetic Resonance Imaging 100%
  • Cardiovascular System 80%
  • Patient with Heart Disease 40%
  7 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)