Browse by UCL people
Group by: Type | Date
Number of items: 21.
Article
Baxter, JSH;
Gibson, E;
Eagleson, R;
Peters, TM;
(2018)
The Semiotics of Medical Image Segmentation.
Medical Image Analysis
, 44
pp. 54-71.
10.1016/j.media.2017.11.007.
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Bonmati, E;
Hu, Y;
Gibson, E;
Uribarri, L;
Keane, G;
Gurusami, K;
Davidson, B;
... Barratt, DC; + view all
(2018)
Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures.
International Journal of Computer Assisted Radiology and Surgery
, 13
(6)
pp. 875-883.
10.1007/s11548-018-1762-2.
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Georgiou, PS;
Jaros, J;
Payne, H;
Allen, C;
Shah, TT;
Ahmed, HU;
Gibson, E;
... Treeby, BE; + view all
(2017)
Beam distortion due to gold fiducial markers during salvage high-intensity focused ultrasound in the prostate.
Medical Physics
, 44
(2)
pp. 679-693.
10.1002/mp.12044.
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Ghavami, N;
Hu, Y;
Bonmati, E;
Rodell, R;
Gibson, E;
Moore, C;
Barratt, D;
(2018)
Integration of spatial information in convolutional neural networks for automatic segmentation of intraoperative transrectal ultrasound images.
Journal of Medical Imaging
, 6
(1)
, Article 011003. 10.1117/1.JMI.6.1.011003.
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Ghavami, N;
Hu, Y;
Gibson, E;
Bonmati, E;
Emberton, M;
Moore, CM;
Barratt, DC;
(2019)
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration.
Medical Image Analysis
, 58
, Article 101558. 10.1016/j.media.2019.101558.
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Gibson, E;
Giganti, F;
Hu, Y;
Bonmati, E;
Bandula, S;
Gurusamy, K;
Davidson, B;
... Barratt, DC; + view all
(2018)
Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks.
IEEE Transactions on Medical Imaging
, 37
(8)
pp. 1822-1834.
10.1109/TMI.2018.2806309.
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Gibson, E;
Hu, Y;
Huisman, HJ;
Barratt, DC;
(2017)
Designing image segmentation studies: Statistical power, sample size and reference standard quality.
Med Image Anal
, 42
pp. 44-59.
10.1016/j.media.2017.07.004.
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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;
Gibson, E;
Ahmed, HU;
Moore, CM;
Emberton, M;
Barratt, DC;
(2015)
Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration.
Medical Image Analysis
, 26
(1)
pp. 332-344.
10.1016/j.media.2015.10.006.
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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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Proceedings paper
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Ghavami, N;
Hu, Y;
Bonmati, E;
Rodell, R;
Gibson, E;
Moore, CM;
Barratt, DC;
(2018)
Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks.
In: Fei, B and Webster, RJ, (eds.)
Proceedings Volume 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling.
(pp. p. 1057603).
SPIE: Houston, Texas, United States.
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Gibson, E;
Giganti, F;
Hu, Y;
Bonmati, E;
Bandula, S;
Gurusamy, K;
Davidson, BR;
... Barratt, DC; + view all
(2017)
Towards image-guided pancreas and biliary endoscopy: Automatic multi-organ segmentation on abdominal CT with dense dilated networks.
In: Descoteaux, M and Maier-Hein, L and Franz, A and Jannin, P and Collins, D and Duchesne, S, (eds.)
(Proceedings) Medical Image Computing and Computer Assisted Intervention − MICCAI 2017.
(pp. pp. 728-736).
Springer: Switzerland, Cham.
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Gibson, E;
Robu, MR;
Thompson, S;
Edwards, P;
Schneider, C;
Gurusamy, K;
Davidson, B;
... Clarkson, MJ; + view all
(2017)
Deep residual networks for automatic segmentation of laparoscopic videos of the liver.
In: Webster, RJ and Fei, B, (eds.)
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling.
(pp. 101351M1-101351M6).
Society of Photo-Optical Instrumentation Engineers (SPIE): Bellingham, Washington, USA.
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Hu, Y;
Gibson, E;
Lee, LL;
Xie, W;
Barratt, DC;
Vercauteren, T;
Noble, JA;
(2017)
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks.
In: Cardoso, MJ and Arbel, T and Gao, F and Kainz, B and Van Walsum, T and Shi, K and Bhatia, KK and Peter, R and Vercauteren, T and Reyes, M and Dalca, A and Wiest, R and Niessen, W and Emmer, BJ, (eds.)
Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings.
(pp. pp. 105-115).
Springer: Cham, Switzerland.
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Hu, Y;
Gibson, E;
Vercauteren, T;
Ahmed, H;
Emberton, M;
Moore, C;
Noble, JA;
(2017)
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks.
In: Descoteaux, M and Maier-Hein, L and Franz, A and Jannin, P and Collins, DL and Duchesne, S, (eds.)
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II.
(pp. pp. 368-376).
Springer International Publishing: Cham, Switzerland.
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Hu, Y;
Modat, M;
Gibson, E;
Ghavami, N;
Bonmati, E;
Moore, CM;
Emberton, M;
... Vercauteren, T; + view all
(2018)
Label-driven weakly-supervised learning for multimodal deformable image registration.
In:
2018 IEEE 15th International Symposium on Biomedical Imaging.
(pp. pp. 1070-1074).
IEEE
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Lin, M;
Chen, W;
Zhao, M;
Gibson, E;
Bastian-Jordan, M;
Cool, DW;
Kassam, Z;
... Chiu, B; + view all
(2017)
Prostate lesion detection and localization based on locality alignment discriminant analysis.
In: Armato, SG and Petrick, NA, (eds.)
Proceedings Volume 10134, Medical Imaging 2017: Computer-Aided Diagnosis.
SPIE: Florida, United States.
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Nahlawi, L;
Goncalves, C;
Imani, F;
Gaed, M;
Gomez, JA;
Moussa, M;
Gibson, E;
... Shatkay, H; + view all
(2017)
Models of Temporal Enhanced Ultrasound Data for Prostate Cancer Diagnosis: The Impact of Time-Series Order.
In: Webster, RJ and Fei, B, (eds.)
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling.
(pp. 101351D1-101351D7).
Society of Photo-Optical Instrumentation Engineers (SPIE)
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Conference item
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Orczyk, C;
Hu, YP;
Gibson, E;
El-Shater Bosaily, A;
Kirkham, A;
Punwani, S;
Brown, L;
... Ahmed, HU; + view all
(2017)
Should We Aim for the Centre of an MRI Prostate Lesion? Correlation Between mpMRI and 3-dimensional 5mm Transperineal Prostate Mapping Biopsies From the PROMIS Trial.
Presented at: AUA Annual Meeting, Boston, USA.
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Thesis
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Gibson, E;
(2014)
3D fusion of histology to multi-parametric MRI for prostate cancer imaging evaluation and lesion-targeted treatment planning.
UNSPECIFIED thesis , UNSPECIFIED.
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Gibson, E;
(2009)
On the analysis of cortical surface biomarkers.
Doctoral thesis , UNSPECIFIED.
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