King's College London

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Dr Guotai Wang

  1. CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

    Gu, R., Wang, G., Song, T., Huang, R., Aertsen, M., Deprest, J., Ourselin, S., Vercauteren, T. & Zhang, S., 2 Nov 2020, (E-pub ahead of print) In: IEEE transactions on medical imaging.

    Research output: Contribution to journalArticlepeer-review

  2. 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 journalArticlepeer-review

  3. An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI

    Shapey, J., Wang, G., Dorent, R., Dimitriadis, A., Li, W., Paddick, I., Kitchen, N., Bisdas, S., Saeed, S. R., Ourselin, S., Bradford, R. & Vercauteren, T., 6 Dec 2019, (E-pub ahead of print) In: Journal of Neurosurgery. p. 1-9 9 p.

    Research output: Contribution to journalArticlepeer-review

  4. Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

    Wang, G., Li, W., Aertsen, M., Deprest, J., Ourselin, S. & Vercauteren, T., 21 Apr 2019, In: NEUROCOMPUTING. 338, p. 34-45 12 p.

    Research output: Contribution to journalArticlepeer-review

  5. Placenta Imaging Workshop 2018 report: Multiscale and multimodal approaches

    Slator, P., Aughwane, R., Cade, G., Taylor, D., David, A. L., Lewis, R., Jauniaux, E., Desjardins, A., Salomon, L. J., Millischer, A-E., Tsatsaris, V., Rutherford, M., Johnstone, E., Melbourne, A., Atkinson, D., Baranikumar, R., Bertholdt, C., Bonet-Carne, E., Brownbill, P., Bruchhage, M. & 42 others, Caulfield, R., Chernyavsky, I., Chew, A., David, A., De Vita, E., Doel, T., Erlich, A., Flouri, D., Guerreri, M., Hakim, M., Hansen, D., Haq, M., Haris, P., Hillman, S., Ho, A., Hutter, J., Jackson, L., Johnstone, E., Kipergil, E., Labianco, S., Malamateniou, C., Maneas, E., Monton, E., Morris, D., Nihouarn, J., Nye, G., O'Neill, H., Thunbo, M. Ø., Palombo, M., Peasley, R., Baruteau, K. P., Mayo, R. P., Port, S., Salomon, L., Shah, S., Soe, N., Soerensen, A., Sokolska, M., Svigilsky, C., Tropea, T., Wang, G. & Yassine, B., 31 Oct 2018, (E-pub ahead of print) In: Placenta. 79, p. 78-82

    Research output: Contribution to journalArticlepeer-review

  6. 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

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