Research output per year
Research output per year
Search results
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2019
Hemodynamic matrix factorization for functional magnetic resonance imaging
Hütel, M., Antonelli, M., Ekanayake, J., Ourselin, S. & Melbourne, A., 1 Jan 2019, Connectomics in NeuroImaging - 3rd International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Schirmer, M. D., Chung, A. W., Venkataraman, A., Rekik, I. & Kim, M. (eds.). SPRINGER, p. 117-125 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11848 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Incompressible image registration using divergence-conforming B-splines
Fidon, L., Ebner, M., Garcia-Peraza, L. C. H., Modat, M., Ourselin, S. & Vercauteren, T., 10 Oct 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.). p. 438-446 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11765 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile3 Citations (Scopus)52 Downloads (Pure) -
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 proceeding › Conference contribution › peer-review
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2018
An adaptive sampling scheme to efficiently train fully convolutional networks for semantic segmentation
Berger, L., Eoin, H., Cardoso, M. J. & Ourselin, S., 21 Aug 2018, (E-pub ahead of print) Medical Image Understanding and Analysis - 22nd Conference, Proceedings. Springer Verlag, p. 277-286 10 p. (Communications in Computer and Information Science; vol. 894).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
16 Citations (Scopus) -
2012
Automatic cardiac motion tracking using both untagged and 3D tagged MR images
Wang, H., Shi, W., Zhuang, X., Duckett, S., Tung, K., Edwards, P., Razavi, R., Ourselin, S. & Rueckert, D., 21 Mar 2012, Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers. p. 45-54 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7085 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
2010
Whole heart segmentation of cardiac MRI using multiple path propagation strategy
Zhuang, X., Leung, K., Rhode, K., Razavi, R., Hawkes, D. & Ourselin, S., 22 Nov 2010, Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 1 ed. p. 435-443 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6361 LNCS, no. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
16 Citations (Scopus)