Browse by UCL people
Group by: Type | Date
Number of items: 12.
Article
Gibson, E;
Li, W;
Sudre, C;
Fidon, L;
Shakir, DI;
Wang, G;
Eaton-Rosen, Z;
... Vercauteren, T; + view all
(2018)
NiftyNet: a deep-learning platform for medical imaging.
Computer Methods and Programs in Biomedicine
, 158
pp. 113-122.
10.1016/j.cmpb.2018.01.025.
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Hu, Y;
Modat, M;
Gibson, E;
Li, W;
Ghavami, N;
Bonmati, E;
Wang, G;
... Vercauteren, T; + view all
(2018)
Weakly-supervised convolutional neural networks for multimodal image registration.
Medical Image Analysis
, 49
pp. 1-13.
10.1016/j.media.2018.07.002.
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Slator, P;
Aughwane, R;
Cade, G;
Taylor, D;
David, AL;
Lewis, R;
Jauniaux, E;
... Melbourne, A; + view all
(2019)
Placenta Imaging Workshop 2018 report: Multiscale and multimodal approaches.
Placenta
, 79
pp. 78-82.
10.1016/j.placenta.2018.10.010.
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Wang, G;
Li, W;
Zuluaga, MA;
Pratt, R;
Patel, PA;
Aertsen, M;
Doel, T;
... Vercauteren, T; + view all
(2018)
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning.
IEEE Transactions on Medical Imaging
, 37
(7)
pp. 1562-1573.
10.1109/TMI.2018.2791721.
(In press).
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Wang, G;
Zuluaga, MA;
Li, W;
Pratt, R;
Patel, PA;
Aertsen, M;
Doel, T;
... Vercauteren, T; + view all
(2019)
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation.
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 41
(7)
1559 -1572.
10.1109/TPAMI.2018.2840695.
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Wang, G;
Zuluaga, MA;
Pratt, R;
Aertsen, M;
Doel, T;
Klusmann, M;
David, AL;
... Ourselin, S; + view all
(2016)
Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views.
Medical Image Analysis
, 34
pp. 137-147.
10.1016/j.media.2016.04.009.
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Proceedings paper
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Ebner, M;
Wang, G;
Li, W;
Aertsen, M;
Patel, PA;
Aughwane, R;
Melbourne, A;
... Vercauteren, T; + view all
(2018)
An automated localization, segmentation and reconstruction framework for fetal brain MRI.
In: Frangi, AF and Schnabel, JA and Davatzikos, C and Alberola-López, C and Fichtinger, G, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I.
(pp. pp. 313-320).
Springer: Cham, Switzerland.
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Li, W;
Wang, G;
Fidon, L;
Ourselin, S;
Cardoso, MJ;
Vercauteren, T;
(2017)
On the compactness, efficiency, and representation of 3D convolutional networks: Brain parcellation as a pretext task.
In: Niethammer, M and Styner, M and Aylward, S and Zhu, H and Oguz, I and Yap, PT and Shen, D, (eds.)
Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings.
(pp. pp. 348-360).
Springer: Cham, Switzerland.
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Wang, G;
Li, W;
Ourselin, S;
Vercauteren, T;
(2018)
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks.
In: Crimi, A and Bakas, S and Kuijf, H and Menze, B and Reyes, M, (eds.)
BrainLes 2017: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries.
(pp. pp. 178-190).
Springer: Cham, Switzerland.
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Wang, G;
Zuluaga, MA;
Pratt, R;
Aertsen, M;
David, AL;
Deprest, J;
Vercauteren, T;
(2015)
Slic-Seg: Slice-by-slice Segmentation Propagation of the Placenta in Fetal MRI using One-plane Scribbles and Online Learning.
In: Navab, N and Hornegger, J and Wells, WM and Frangi, AF, (eds.)
Proceeding of Medical Image Computing and Computer-Assisted Intervention — MICCAI 2015.
(pp. pp. 29-37).
Springer International Publishing: Munich, Germany.
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Wang, G;
Zuluaga, MA;
Pratt, R;
Aertsen, M;
Doel, T;
Klusmann, M;
David, AL;
... Ourselin, S; + view all
(2016)
Dynamically balanced online random forests for interactive scribble-based segmentation.
In: Ourselin, S and Joskowicz, L and Sabuncu, M and Unal, G and Wells, W, (eds.)
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016.
(pp. pp. 352-360).
Springer International Publishing: Switzerland.
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Thesis
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Wang, G;
(2018)
Minimally Interactive Segmentation with Application to Human Placenta in Fetal MR Images.
Doctoral thesis (Ph.D), UCL (University College London).
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