Browse by UCL people
Group by: Type | Date
Number of items: 5.
Article
Klaser, K;
Borges, P;
Shaw, R;
Ranzini, M;
Modat, M;
Atkinson, D;
Thielemans, K;
... Ourselin, S; + view all
(2021)
A Multi-Channel Uncertainty-Aware Multi-Resolution Network for MR to CT Synthesis.
Applied Sciences
, 11
(4)
p. 1667.
10.3390/app11041667.
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Proceedings paper
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Borges, P;
Shaw, R;
Varsavsky, T;
Klaser, K;
Thomas, D;
Drobnjak, I;
Ourselin, S;
(2021)
The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties.
In:
Simulation and Synthesis in Medical Imaging. SASHIMI 2021.
(pp. pp. 67-76).
Springer: Cham, Switzerland.
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Borges, P;
Sudre, C;
Varsavsky, T;
Thomas, D;
Drobnjak, I;
Ourselin, S;
Cardoso, MJ;
(2019)
Physics-informed brain MRI segmentation.
In: Burgos, N and Gooya, A and Svoboda, D, (eds.)
SASHIMI 2019: Simulation and Synthesis in Medical Imaging.
(pp. pp. 100-109).
Springer: Shenzhen, China.
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Klaser, K;
Borges, P;
Shaw, R;
Ranzini, M;
Modat, M;
Atkinson, D;
Thielemans, K;
... Ourselin, S; + view all
(2020)
Uncertainty-aware multi-resolution whole-body MR to CT synthesis.
In:
International Workshop on Simulation and Synthesis in Medical Imaging SASHIMI 2020: Simulation and Synthesis in Medical Imaging.
(pp. pp. 110-119).
Springer, Cham
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Thesis
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Borges, Pedro;
(2023)
Physics-Based Image Synthesis for MRI Sequence Standardisation.
Doctoral thesis (Ph.D), UCL (University College London).
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