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Andrew Melbourne

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    • 2020

      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 proceedingConference paperpeer-review

      2 Citations (Scopus)
    • 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 proceedingConference paperpeer-review

      2 Citations (Scopus)
    • 2019

      Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling

      Flouri, D., Owen, D., Aughwane, R., Mufti, N., Sokolska, M., Atkinson, D., Kendall, G., Bainbridge, A., Vercauteren, T., David, A. L., Ourselin, S. & Melbourne, A., 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, Vol. 11766. p. 609-616 8 p. (Lecture Notes in Computer Science).

      Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

      2 Citations (Scopus)
    • 2018

      An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI

      Ebner, M., Wang, G., Li, W., Aertsen, M., Patel, P. A., Aughwane, R., Melbourne, A., Doel, T., David, A. L., Deprest, J., Ourselin, S. & Vercauteren, T., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, Vol. 11070. p. 313-320 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

      Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

      38 Citations (Scopus)
    • Cardiac Cycle Estimation for BOLD-fMRI

      Hutel, M., Melbourne, A., Thomas, D. L. & Ourselin, S., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Davatzikos, C., Fichtinger, G., Alberola-López, C. & Schnabel, J. A. (eds.). Springer Verlag, Vol. 11072. p. 267-274 8 p. (Lecture Notes in Computer Science).

      Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    • Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labelling MRI

      Owen, D., Melbourne, A., Eaton-Rosen, Z., Thomas, D. L., Marlow, N., Rohrer, J. & Ourselin, S., 2018, MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT I. Vol. 11070. p. 21-29 9 p. (Lecture Notes in Computer Science).

      Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

      12 Citations (Scopus)
    • Neural Activation Estimation in Brain Networks During Task and Rest Using BOLD-fMRI

      Hütel, M., Melbourne, A. & Ourselin, S., 2018, MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, PT III. Vol. 11072. p. 215-222 8 p. (Lecture Notes in Computer Science).

      Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

      1 Citation (Scopus)
    • Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNs

      Scott, C. J., Jiao, J., Cardoso, M. J., Kläser, K., Melbourne, A., Markiewicz, P. J., Schott, J. M., Hutton, B. F. & Ourselin, S., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, Vol. 11070. p. 48-56 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

      Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

      4 Citations (Scopus)
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