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  1. 2017
  2. Hutter, J, Christiaens, D, Kuklisova-Murgasova, M, Cordero-Grande, L, Slator, P, Price, A, Rutherford, M & Hajnal, JV 2017, Dynamic field mapping and motion correction using interleaved double spin-echo diffusion MRI. in Lecture Notes in Computer Science - MICCAI 2017. vol. 10433 LNCS, pp. 523-531, 20th International Conference on Medical Image Computing and Computer Assisted Intervention 2017, Quebec City, Canada, 10/09/2017. https://doi.org/10.1007/978-3-319-66182-7_60
  3. McDonagh, S, Hou, B, Alansary, A, Oktay, O, Kamnitsas, K, Rutherford, M, Hajnal, J & 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, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10555 LNCS, Springer Verlag, pp. 116-126, 5th International Workshop on Computational Methods for Molecular Imaging, CMMI 2017, 2nd International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017 and 1st International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017 held in Conjunction with 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017, Quebec City, Canada, 14/09/2017. https://doi.org/10.1007/978-3-319-67564-0_12
  4. Hou, B, Alansary, A, McDonagh, S, Davidson, A, Rutherford, M, Hajnal, JV, Rueckert, D, Glocker, B & 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, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10434 LNCS, Springer Verlag, pp. 296-304, 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, Quebec City, Canada, 11/09/2017. https://doi.org/10.1007/978-3-319-66185-8_34
  5. Kyriakopoulou, V, Vatansever, D, Davidson, A, Patkee, P, Elkommos, S, Chew, TM, Martinez-Biarge, M, Hagberg, B, Mellisa, D, Allsop, JM, Fox, M, Hajnal, JV & Rutherford, MA 2017, 'Normative biometry of the fetal brain using magnetic resonance imaging', Brain structure & function, vol. 222, no. 5, pp. 2295 - 2307. https://doi.org/10.1007/s00429-016-1342-6
  6. Schuh, A, Makropoulos, A, Wright, R, Robinson, EC, Tusor, N, Steinweg, J, Hughes, E, Cordero Grande, L, Price, A, Hutter, J, Hajnal, JV & Rueckert, D 2017, A deformable model for the reconstruction of the neonatal cortex. in 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, pp. 800-803, 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, 18/04/2017. https://doi.org/10.1109/ISBI.2017.7950639
  7. Abo Seada, S, Hajnal, JV & Malik, SJ 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.
  8. Abo Seada, S, Hajnal, JV & Malik, SJ 2017, Root-flipped multiband pulses with inherently aligned echoes. in Root-flipped multiband pulses with inherently aligned echoes., 3955.
  9. Rajchl, M, Lee, MCH, Oktay, O, Kamnitsas, K, Passerat-Palmbach, J, Bai, W, Damodaram, M, Rutherford, MA, Hajnal, JV, Kainz, B & Rueckert, D 2017, 'DeepCut: Object Segmentation from Bounding Box Annotations Using Convolutional Neural Networks', IEEE Transactions on Medical Imaging, vol. 36, no. 2, 7739993, pp. 674-683. https://doi.org/10.1109/TMI.2016.2621185
  10. Schlemper, J, Caballero, J, Hajnal, JV, 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, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10265 LNCS, Springer Verlag, pp. 647-658, 25th International Conference on Information Processing in Medical Imaging, IPMI 2017, Boone, United States, 25/06/2017. https://doi.org/10.1007/978-3-319-59050-9_51
  11. 2016
  12. Zhang, T, Matthew, J, Lohezic, M, Davidson, A, Rutherford, MA, Rueckert, D, Hajnal, JV & Aljabar, P 2016, Graph-based whole body segmentation in fetal MR images. in MICCAI Workshop on Perinatal, Preterm and Paediatric Image analysis 2016.
  13. Alansary, A, Kamnitsas, K, Davidson, A, Khlebnikov, R, Rajchl, M, Malamateniou, C, Rutherford, M, Hajnal, JV, Glocker, B, Rueckert, D & Kainz, B 2016, Fast fully automatic segmentation of the human placenta from motion corrupted MRI. in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. vol. LNCS 9901, Lecture Notes in Computer Science, vol. 9901, pp. 589-597. https://doi.org/10.1007/978-3-319-46723-8_68
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