Publications of Daniel Rueckert
@article{snape2015volumetric,
author = {P. Snape and S. Pszczolkowski and S. Zafeiriou and G. Tzimiropoulos and C. Ledig and D. Rueckert},
pages = {97--113},
journal = {Image and Vision Computing},
month = {August},
title = {A Robust Similarity Measure for Volumetric Image Registration with Outliers},
url = {http://doi.org/10.1016/j.imavis.2016.05.006},
volume = {52},
year = {2016},
}
A Robust Similarity Measure For Nonrigid Image Registration With Outliers
S. Pszczolkowski,
S. Zafeiriou,
C. Ledig,
D. Rueckert.
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).
4
2014.
@inproceedings{Robust_Similarity_2014,
booktitle = {2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)},
month = {4},
title = {A Robust Similarity Measure For Nonrigid Image Registration With Outliers},
year = {2014},
}
%0 Conference Proceedings
%T A Robust Similarity Measure For Nonrigid Image Registration With Outliers
%B 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)
%D 2014
%8 April
%F Robust_Similarity_2014
Multi-scale Feature Learning on Pixel and Superpixel for Seminal Vesical MRI Segmentation
Q. Gao,
A. Asthana,
T. Tong,
D. Rueckert,
P. Edwards.
2014 SPIE Medical Imaging (MI 2014).
San Diego, California, USA,
February
2014.
@inproceedings{guo2014multiscale,
address = {San Diego, California, USA},
booktitle = {2014 SPIE Medical Imaging (MI 2014)},
month = {February},
title = {Multi-scale Feature Learning on Pixel and Superpixel for Seminal Vesical MRI Segmentation},
year = {2014},
}
%0 Conference Proceedings
%T Multi-scale Feature Learning on Pixel and Superpixel for Seminal Vesical MRI Segmentation
%B 2014 SPIE Medical Imaging (MI 2014)
%D 2014
%8 February
%C San Diego, California, USA
%F guo2014multiscale
@article{sandbach2012recognition,
author = {G. Sandbach and S. Zafeiriou and M. Pantic and D. Rueckert},
pages = {762--773},
journal = {Image and Vision Computing},
note = {3D Facial Behaviour Analysis and Understanding},
number = {10},
title = {Recognition of 3D Facial Expression Dynamics},
url = {http://www.sciencedirect.com/science/article/pii/S0262885612000157},
volume = {30},
year = {2012},
}
%0 Journal Article
%T Recognition of 3D Facial Expression Dynamics
%A Sandbach, G.
%A Zafeiriou, S.
%A Pantic, M.
%A Rueckert, D.
%J Image and Vision Computing
%D 2012
%V 30
%N 10
%F sandbach2012recognition
%O 3D Facial Behaviour Analysis and Understanding
%U http://www.sciencedirect.com/science/article/pii/S0262885612000157
%P 762-773
A Dynamic Approach to the Recognition of 3D Facial Expressions and Their Temporal Models
G. Sandbach,
S. Zafeiriou,
M. Pantic,
D. Rueckert.
Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition (FG'11), Special Session: 3D Facial Behavior Analysis and Understanding.
Santa Barbara, CA, USA,
pp. 406 - 413,
March
2011.
@inproceedings{GeorgiaEtAlFG2011,
author = {G. Sandbach and S. Zafeiriou and M. Pantic and D. Rueckert},
pages = {406--413},
address = {Santa Barbara, CA, USA},
booktitle = {Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition (FG'11), Special Session: 3D Facial Behavior Analysis and Understanding},
month = {March},
title = {A Dynamic Approach to the Recognition of 3D Facial Expressions and Their Temporal Models},
year = {2011},
}
%0 Conference Proceedings
%T A Dynamic Approach to the Recognition of 3D Facial Expressions and Their Temporal Models
%A Sandbach, G.
%A Zafeiriou, S.
%A Pantic, M.
%A Rueckert, D.
%B Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition (FG?11), Special Session: 3D Facial Behavior Analysis and Understanding
%D 2011
%8 March
%C Santa Barbara, CA, USA
%F GeorgiaEtAlFG2011
%P 406-413