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An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation.

L. Berger, E. Hyde, M. Cardoso, and S. Ourselin. MIUA, volume 894 of Communications in Computer and Information Science, page 277-286. Springer, (2018)

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An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation.L. Berger, E. Hyde, M. Cardoso, and S. Ourselin. CoRR, (2017)Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation.L. Berger, E. Hyde, M. Gibb, N. Pavithran, F. Mumtaz, and S. Ourselin. CoRR, (2018)An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation.L. Berger, E. Hyde, M. Cardoso, and S. Ourselin. MIUA, volume 894 of Communications in Computer and Information Science, page 277-286. Springer, (2018)Parameterisation of multi-scale continuum perfusion models from discrete vascular networks.E. Hyde, C. Michler, J. Lee, A. Cookson, R. Chabiniok, D. Nordsletten, and N. Smith. Med. Biol. Engineering and Computing, 51 (5): 557-570 (2013)Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume-rendered images.E. Hyde, L. Berger, N. Ramachandran, A. Hughes-Hallett, N. Pavithran, M. Tran, S. Ourselin, A. Bex, and F. Mumtaz. Int. J. Comput. Assist. Radiol. Surg., 14 (4): 723-732 (2019)Myocardial perfusion distribution and coronary arterial pressure and flow signals: clinical relevance in relation to multiscale modeling, a review.F. Nolte, E. Hyde, C. Rolandi, J. Lee, P. van Horssen, K. Asrress, J. van den Wijngaard, A. Cookson, T. van de Hoef, R. Chabiniok and 9 other author(s). Med. Biol. Engineering and Computing, 51 (11): 1271-1286 (2013)Personalised Biophysical Model to Optimise Left Ventricle Pacing Location for Cardiac Resynchronisation Therapy Over Time.A. Lee, M. Sohal, J. Behar, S. Claridge, A. Shetty, T. Jackson, E. Hyde, G. Plank, R. Razavi, P. Lamata and 2 other author(s). CinC, www.cinc.org, (2016)A spatially-distributed computational model to quantify behaviour of contrast agents in MR perfusion imaging.A. Cookson, J. Lee, C. Michler, R. Chabiniok, E. Hyde, D. Nordsletten, and N. Smith. Medical Image Analysis, 18 (7): 1200-1216 (2014)

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Disambiguation of "Hyde, Eoin"

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An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation.

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PUMA

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation.

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An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation.