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  1. 2017
  2. McDonagh, S., Hou, B., Alansary, A., Oktay, O., Kamnitsas, K., Rutherford, M., ... Kainz, B. (2017). Context-sensitive super-resolution for fast fetal magnetic resonance imaging. In 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 (Vol. 10555 LNCS, pp. 116-126). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10555 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-67564-0_12
  3. Hou, B., Alansary, A., McDonagh, S., Davidson, A., Rutherford, M., Hajnal, J. V., ... Kainz, B. (2017). Predicting slice-to-volume transformation in presence of arbitrary subject motion. In Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings (Vol. 10434 LNCS, pp. 296-304). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10434 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-66185-8_34
  4. Schuh, A., Makropoulos, A., Wright, R., Robinson, E. C., Tusor, N., Steinweg, J., ... Rueckert, D. (2017). A deformable model for the reconstruction of the neonatal cortex. In 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017 (pp. 800-803). IEEE Computer Society. https://doi.org/10.1109/ISBI.2017.7950639
  5. Abo Seada, S., Hajnal, J. V., & Malik, S. J. (2017). A simple optimisation approach to making time efficient VERSE-multiband pulses feasible on non-ideal gradients. In A simple optimisation approach to making time efficient VERSE-multiband pulses feasible on non-ideal gradients [5059]
  6. Abo Seada, S., Hajnal, J. V., & Malik, S. J. (2017). Root-flipped multiband pulses with inherently aligned echoes. In Root-flipped multiband pulses with inherently aligned echoes [3955]
  7. Miao, H., Mistelbauer, G., Karimov, A., Alansary, A., Davidson, A., Lloyd, D., ... Groller, M. E. (2017). Placenta maps: In utero placental health assessment of the human fetus. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 23(6), 1612-1623. [7864470]. https://doi.org/10.1109/TVCG.2017.2674938
  8. Rajchl, M., Lee, M. C. H., Oktay, O., Kamnitsas, K., Passerat-Palmbach, J., Bai, W., ... Rueckert, D. (2017). DeepCut: Object Segmentation from Bounding Box Annotations Using Convolutional Neural Networks. IEEE Transactions on Medical Imaging, 36(2), 674-683. [7739993]. https://doi.org/10.1109/TMI.2016.2621185
  9. Schlemper, J., Caballero, J., Hajnal, J. V., Price, A., & Rueckert, D. (2017). A deep cascade of convolutional neural networks for MR image reconstruction. In Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings (Vol. 10265 LNCS, pp. 647-658). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10265 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-59050-9_51
  10. 2016
  11. Zhang, T., Matthew, J., Lohezic, M., Davidson, A., Rutherford, M. A., Rueckert, D., ... Aljabar, P. (2016). Graph-based whole body segmentation in fetal MR images. In MICCAI Workshop on Perinatal, Preterm and Paediatric Image analysis 2016
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