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  1. 2017
  2. Dwyer, G., Chadebecq, F., Tella Amo, M., Bergeles, C., Maneas, E., Pawar, V., ... Stoyanov, D. (2017). A Continuum Robot and Control Interface for Surgical Assist in Fetoscopic Interventions. IEEE Robotics and Automation Letters, 2(3), 1656-1663. https://doi.org/10.1109/LRA.2017.2679902
  3. Vakharia, V. N., Sparks, R., O'Keeffe, A. G., Rodionov, R., Miserocchi, A., McEvoy, A., ... Duncan, J. (2017). Accuracy of intracranial electrode placement for stereoencephalography: A systematic review and meta-analysis. Epilepsia, 58(6), 921-932. https://doi.org/10.1111/epi.13713
  4. Premi, E., Grassi, M., Van Swieten, J., Galimberti, D., Graff, C., Masellis, M., ... Borroni, B. (2017). Cognitive reserve and TMEM106B genotype modulate brain damage in presymptomatic frontotemporal dementia: A GENFI study. Brain, 140(6), 1784-1791. https://doi.org/10.1093/brain/awx103
  5. Cordeiro, M. F., Normando, E. M., Cardoso, M. J., Miodragovic, S., Jeylani, S., Davis, B. M., ... Bloom, P. A. (2017). Real-time imaging of single neuronal cell apoptosis in patients with glaucoma. Brain, 140(6), 1757-1767. https://doi.org/10.1093/brain/awx088
  6. Moriconi, S., Zuluaga, M. A., Jäger, H. R., Nachev, P., Ourselin, S., & Cardoso, M. J. (2017). VTrails: Inferring vessels with geodesic connectivity trees. In Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings (Vol. 10265 LNCS, pp. 672-684). (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_53
  7. Prados, F., Ashburner, J., Blaiotta, C., Brosch, T., Carballido-Gamio, J., Cardoso, M. J., ... Cohen-Adad, J. (2017). Spinal cord grey matter segmentation challenge. NeuroImage, 152, 312-329. https://doi.org/10.1016/j.neuroimage.2017.03.010
  8. Holmes, H. E., Powell, N. M., Ma, D., Ismail, O., Harrison, I. F., Wells, J. A., ... Lythgoe, M. F. (2017). Comparison of In vivo and Ex vivo MRI for the detection of structural abnormalities in a mouse model of tauopathy. Frontiers in Neuroinformatics, 11, [20]. https://doi.org/10.3389/fninf.2017.00020
  9. Guerreiro, F., Burgos, N., Dunlop, A., Wong, K., Petkar, I., Nutting, C., ... Knopf, A. C. (2017). Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning. Physica Medica, 35, 7-17. https://doi.org/10.1016/j.ejmp.2017.02.017
  10. Carass, A., Roy, S., Jog, A., Cuzzocreo, J. L., Magrath, E., Gherman, A., ... Pham, D. L. (2017). Longitudinal multiple sclerosis lesion segmentation: Resource and challenge. NeuroImage, 148, 77-102. https://doi.org/10.1016/j.neuroimage.2016.12.064
  11. Fiford, C. M., Manning, E. N., Bartlett, J. W., Cash, D. M., Malone, I. B., Ridgway, G. R., ... for the Alzheimer's Disease Neuroimaging Initiative (2017). White matter hyperintensities are associated with disproportionate progressive hippocampal atrophy. Hippocampus, 27(3), 249-262. https://doi.org/10.1002/hipo.22690
  12. Xie, Y., Thom, M., Miserocchi, A., McEvoy, A. W., Desjardins, A., Ourselin, S., & Vercauteren, T. (2017). Multi-scale spectrally resolved quantitative fluorescence imaging system: Towards neurosurgical guidance in glioma resection. In Clinical and Translational Neurophotonics (Vol. 10050). [1005002] SPIE. https://doi.org/10.1117/12.2250159
  13. Nikitichev, D. I., Shakir, D. I., Chadebecq, F., Tella, M., Deprest, J., Stoyanov, D., ... Vercauteren, T. (2017). Medical-grade sterilizable target for fluid-immersed fetoscope optical distortion calibration. Journal of Visualized Experiments, 2017(120), [e55298]. https://doi.org/10.3791/55298
  14. García-Peraza-Herrera, L. C., Li, W., Gruijthuijsen, C., Devreker, A., Attilakos, G., Deprest, J., ... Ourselin, S. (2017). Real-time segmentation of non-rigid surgical tools based on deep learning and tracking. In Computer-Assisted and Robotic Endoscopy - 3rd International Workshop, CARE 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers (Vol. 10170 LNCS, pp. 84-95). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10170 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-54057-3_8
  15. Ladefoged, C. N., Law, I., Anazodo, U., Lawrence, K. S., Izquierdo-Garcia, D., Catana, C., ... Andersen, F. L. (2017). A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients. NeuroImage, 147, 346-359. https://doi.org/10.1016/j.neuroimage.2016.12.010
  16. Brown, J. W. L., Pardini, M., Brownlee, W. J., Fernando, K., Samson, R. S., Carrasco, F. P., ... Chard, D. T. (2017). An abnormal periventricular magnetization transfer ratio gradient occurs early in multiple sclerosis. Brain, 140(2), 387-398. https://doi.org/10.1093/brain/aww296
  17. Xia, W., Noimark, S., Maneas, E., Parkin, I., Ourselin, S., Finlay, M., & Desjardins, A. (2017). Photoacoustic imaging of intracardiac medical devices using internal illumination of carbon nanotube / PDMS composite coatings. In Photons Plus Ultrasound: Imaging and Sensing 2017, Photonics West
  18. Ebner, M., Chouhan, M., Patel, P. A., Atkinson, D., Amin, Z., Read, S., ... Ourselin, S. (2017). Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution: Application to upper abdominal MRI super-resolution. In Reconstruction, Segmentation, and Analysis of Medical Images - 1st International Workshops, RAMBO 2016 and HVSMR 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers (Vol. 10129 , pp. 3-13). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10129 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-52280-7_1
  19. Zuluaga, M. A., Biff, B., Taylor, A. M., Schievano, S., Vercauteren, T., & Ourselin, S. (2017). Strengths and pitfalls of whole-heart atlas-based segmentation in congenital heart disease patients. In Reconstruction, Segmentation, and Analysis of Medical Images - 1st International Workshops, RAMBO 2016 and HVSMR 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers (Vol. 10129 LNCS, pp. 139-146). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10129 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-52280-7_14
  20. Desjardins, A., Mosse, C., Colchester, R., Noimark, S., Alles, E., Zhang, E., ... Finlay, M. (2017). All-optical pulse-echo ultrasound imaging for guiding minimally invasive procedures. In CLEO: Applications and Technology, CLEO_AT 2017 (Vol. Part F43-CLEO_AT 2017). OSA - The Optical Society. https://doi.org/10.1364/CLEO_AT.2017.AW1A.1
  21. Owen, D., Melbourne, A., Eaton-Rosen, Z., Thomas, D. L., Marlow, N., Rohrer, J., & Ourselin, S. (2017). Anatomy-driven modelling of spatial correlation for regularisation of arterial spin labelling images. In Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings (Vol. 10434 LNCS, pp. 190-197). (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_22
  22. Thompson, S., Meurer, Y., Edwards, E., Ramalhinho, J., Robu, M. R., Stoyanov, D., ... Clarkson, M. J. (2017). On pattern selection for laparoscope calibration. PROCEEDINGS- SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, 10135. https://doi.org/10.1117/12.2253717
  23. Li, W., Wang, G., Fidon, L., Ourselin, S., Cardoso, M. J., & Vercauteren, T. (2017). On the compactness, efficiency, and representation of 3D convolutional networks: Brain parcellation as a pretext task. In Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings (Vol. 10265 LNCS, pp. 348-360). (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_28
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