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  1. 2019
  2. Separating fetal and maternal placenta circulations using multiparametric MRI

    Melbourne, A., Aughwane, R., Sokolska, M., Owen, D., Kendall, G., Flouri, D., Bainbridge, A., Atkinson, D., Deprest, J., Vercauteren, T., David, A. & Ourselin, S., 1 Jan 2019, In : Magnetic Resonance in Medicine. 81, p. 350-361 12 p.

    Research output: Contribution to journalArticle

  3. Single-subject structural cortical networks in clinically isolated syndrome

    for the MAGNIMS Study Group, 1 Jan 2019, In : Multiple Sclerosis Journal.

    Research output: Contribution to journalArticle

  4. Study the longitudinal in vivo and cross-sectional ex vivo brain volume difference for disease progression and treatment effect on mouse model of tauopathy using automated MRI structural parcellation

    Ma, D., Holmes, H. E., Cardoso, M. J., Modat, M., Harrison, I. F., Powell, N. M., O'Callaghan, J. M., Ismail, O., Johnson, R. A., O'Neill, M. J., Collins, E. C., Beg, M. F., Popuri, K., Lythgoe, M. F. & Ourselin, S., 1 Jan 2019, In : Frontiers in Neuroscience. 13, 11.

    Research output: Contribution to journalArticle

  5. Towards Quantifying Neurovascular Resilience

    Moriconi, S., Rehwald, R., Zuluaga, M. A., Jäger, H. R., Nachev, P., Ourselin, S. & Cardoso, M. J., 1 Jan 2019, Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting - 1st International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Proceedings. Liao, H., Wang, G., Liu, Y., Ding, Z., Balocco, S., Zhang, F., Duong, L., Phellan, R., Zahnd, G., Albarqouni, S., Demirci, S., Breininger, K., Moriconi, S. & Lee, S-L. (eds.). SPRINGER, p. 149-157 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11794 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  6. White matter hyperintensities in progranulin-associated frontotemporal dementia: A longitudinal GENFI study

    Sudre, C. H., Bocchetta, M., Heller, C., Convery, R., Neason, M., Moore, K. M., Cash, D. M., Thomas, D. L., Woollacott, I. O. C., Foiani, M., Heslegrave, A., Shafei, R., Greaves, C., van Swieten, J., Moreno, F., Sanchez-Valle, R., Borroni, B., Laforce, R., Masellis, M., Tartaglia, M. C. & 21 others, Graff, C., Galimberti, D., Rowe, J. B., Finger, E., Synofzik, M., Vandenberghe, R., de Mendonça, A., Tagliavini, F., Santana, I., Ducharme, S., Butler, C., Gerhard, A., Levin, J., Danek, A., Frisoni, G. B., Sorbi, S., Otto, M., Zetterberg, H., Ourselin, S., Cardoso, M. J. & Rohrer, J. D., 1 Jan 2019, In : NeuroImage: Clinical. 24, 102077.

    Research output: Contribution to journalArticle

  7. Temporal and external validation of the fullPIERS model for the prediction of adverse maternal outcomes in women with pre-eclampsia

    Ukah, U. V., Payne, B., Karjalainen, H., Kortelainen, E., Seed, P. T., Conti-Ramsden, F. I., Cao, V., Laivuori, H., Hutcheon, J., Chappell, L., Ansermino, J. M., Vatish, M., Redman, C., Lee, T., Li, L., Magee, L. A. & von Dadelszen, P., Jan 2019, In : Pregnancy Hypertension. 15, p. 42-50 9 p.

    Research output: Contribution to journalArticle

  8. Early neuropathological and neurobehavioral consequences of preterm birth in a rabbit model

    Van Der Merwe, J., Van Der Veeken, L., Ferraris, S., Gsell, W., Himmelreich, U., Toelen, J., Ourselin, S., Melbourne, A., Vercauteren, T. & Deprest, J., 2019, In : Scientific Reports. 9, 1, p. 1-10 3506 .

    Research output: Contribution to journalArticle

  9. Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets

    Dorent, R., Li, W., Ekanayake, J., Ourselin, S. & Vercauteren, T., 2019, Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. London, United Kingdom: PMLR, Vol. 102. p. 164--174 11 p. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  10. Learning task-specific and shared representations in medical imaging

    Bragman, F. J. S., Tanno, R., Ourselin, S., Alexander, D. C. & Cardoso, M. J., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 374-383 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  11. MAVRIC: A Multicentre Randomised Controlled Trial of Transabdominal Versus Transvaginal Cervical Cerclage

    Shennan, A., Chandiramani, M., Bennett, P., David, A. L., Girling, J., Ridout, A., Seed, P. T., Simpson, N., Thornton, S., Tydeman, G., Quenby, S. & Carter, J., 2019, In : American Journal of Obstetrics and Gynecology.

    Research output: Contribution to journalArticle

  12. Publisher Correction: Early neuropathological and neurobehavioral consequences of preterm birth in a rabbit model (Scientific Reports, (2019), 9, 1, (3506), 10.1038/s41598-019-39922-8)

    van der Merwe, J., van der Veeken, L., Ferraris, S., Gsell, W., Himmelreich, U., Toelen, J., Ourselin, S., Melbourne, A., Vercauteren, T. & Deprest, J., 2019, In : Scientific Reports. 9, 1, 17005.

    Research output: Contribution to journalComment/debate

  13. Soft optically-tuneable fluorescence phantoms based on gel wax and quantum dots: a tissue surrogate for fluorescence imaging validation

    Xie, Y., Maneas, E., Islam, S., Peveler, W., Shapey, J., Xia, W., Ourselin, S., Parkin, I. P., Desjardins, A. E. & Vercauteren, T., 2019, (Proceedings of SPIE)

    Research output: Book/ReportBook

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