Seeing the fetus from a DOHaD perspective: discussion paper from the advanced imaging techniques of DOHaD applications workshop held at the 2019 DOHaD World Congress Morrison, J. L., Ayonrinde, O. T., Care, A. S., Clarke, G. D., Darby, J. R. T., David, A. L., Dean, J. M., Hooper, S. B., Kitchen, M. J., Macgowan, C. K., Melbourne, A., McGillick, E. V., McKenzie, C. A., Michael, N., Mohammed, N., Sadananthan, S. A., Schrauben, E., Regnault, T. R. H. & Velan, S. S., 21 Sep 2020, In : Journal of Developmental Origins of Health and Disease. p. 1-15 15 p. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1017/S2040174420000884 Magnetic resonance imaging measurement of placental perfusion and oxygen saturation in early-onset fetal growth restriction Aughwane, R., Mufti, N., Flouri, D., Maksym, K., Spencer, R., Sokolska, M., Kendall, G., Atkinson, D., Bainbridge, A., Deprest, J., Vercauteren, T., Ourselin, S., David, A. L. & Melbourne, A., 5 Aug 2020, In : BJOG. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1111/1471-0528.16387 Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge Schirmer, M. D., Venkataraman, A., Rekik, I., Kim, M., Mostofsky, S., Nebel, M. B., Rosch, K., Seymour, K., Crocetti, D., Irzan, H., Hütel, M., Ourselin, S., Marlow, N., Melbourne, A., Levchenko, E., Zhou, S., Kunda, M., Lu, H., Dvornek, N. C., Zhuang, J. & 5 others, Pinto, G., Samal, S., Bernal-Rusiel, J. L., Pienaar, R. & Chung, A. W., 5 Jun 2020, In : arXiv. Research output: Contribution to journal - Article An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI Ebner, M., Wang, G., Li, W., Aertsen, M., Patel, P. A., Aughwane, R., Melbourne, A., Doel, T., Dymarkowski, S., De Coppi, P., David, A. L., Deprest, J., Ourselin, S. & Vercauteren, T., 1 Feb 2020, In : NeuroImage. 206, 116324. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1016/j.neuroimage.2019.116324 A Network-Based Analysis of the Preterm Adolescent Brain Using PCA and Graph Theory Irzan, H., Hütel, M., Semedo, C., O'Reilly, H., Sahota, M., Ourselin, S., Marlow, N. & Melbourne, A., 2020, Mathematics and Visualization. Springer Science and Business Media Deutschland GmbH, p. 173-181 9 p. (Mathematics and Visualization). Research output: Chapter in Book/Report/Conference proceeding - Chapter. DOIs: https://doi.org/10.1007/978-3-030-52893-5_15 Brain Volume and Neuropsychological Differences in Extremely Preterm Adolescents Irzan, H., O'Reilly, H., Ourselin, S., Marlow, N. & Melbourne, A., 2020, Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - 1st International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Hu, Y., Licandro, R., Noble, J. A., Hutter, J., Melbourne, A., Aylward, S., Abaci Turk, E., Torrents Barrena, J. & Torrents Barrena, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 315-323 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12437 LNCS). Research output: Chapter in Book/Report/Conference proceeding - Conference paper. DOIs: https://doi.org/10.1007/978-3-030-60334-2_31 Front Cover: Photoacoustic imaging of the human placental vasculature (J. Biophotonics 4/2020) Maneas, E., Aughwane, R., Huynh, N., Xia, W., Ansari, R., Kuniyil Ajith Singh, M., Hutchinson, J. C., Sebire, N. J., Arthurs, O. J., Deprest, J., Ourselin, S., Beard, P. C., Melbourne, A., Vercauteren, T., David, A. L. & Desjardins, A. E., 2020, In : Journal of biophotonics. 13, 4, p. e202070009 Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1002/jbio.202070009 Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth Irzan, H., Fidon, L., Vercauteren, T., Ourselin, S., Marlow, N. & Melbourne, A., 2020, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - 2nd International Workshop, UNSURE 2020, and 3rd International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Proceedings. Sudre, C. H., Fehri, H., Arbel, T., Baumgartner, C. F., Dalca, A., Tanno, R., Van Leemput, K., Wells, W. M., Sotiras, A., Papiez, B., Ferrante, E. & Parisot, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 164-173 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12443 LNCS). Research output: Chapter in Book/Report/Conference proceeding - Conference paper. DOIs: https://doi.org/10.1007/978-3-030-60365-6_16 Preface PIPPI 2020 Licandro, R., Hutter, J., Turk, E. A., Torrents, J. & Melbourne, A., 2020, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 12437 LNCS, p. vii Research output: Contribution to journal - Editorial The use of fetal MRI for renal and urogenital tract anomalies Chalouhi, G. E., Millischer, A. É., Mahallati, H., Siauve, N., Melbourne, A., Grevent, D., Vinit, N., Heidet, L., Aigrain, Y., Ville, Y., Blanc, T. & Salomon, L. J., 4 Dec 2019, In : Prenatal Diagnosis. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1002/pd.5610 View all publications
15 October 2020 MSc/MRes Healthcare Technologies award student prizes for outstanding performance and contributions to student life As the inaugural year of the MSc/MRes in Healthcare Technologies programmes came to an end, five…