Daniel Rueckert

Prof. Daniel Rueckert

Position:

Faculty Member

Email:

Personal website:

http://www.doc.ic.ac.uk/~dr/

Biography

Daniel Rueckert joined the Department of Computing as a lecturer in 1999 and became senior lecturer in 2003. Since 2005 he is Professor of Visual Information Processing and heads the Biomedical Image Analysis group. He received a Diploma in Computer Science (equiv to M.Sc.) from the Technical University Berlin and a Ph.D. in Computer Science from Imperial College London. Before moving to Imperial College, he has worked as a post-doctoral research fellow in the Division of Radiological Sciences and Medical Engineering, King's College London where he has worked on the development of non-rigid registration algorithms for the compensation of tissue motion and deformation. The developed registration techniques have been successfully used for the non-rigid registration of various anatomical structures, including in the breast, liver, heart and brain and are currently commercialized by IXICO, an Imperial College spin-out company. During his doctoral and post-doctoral research he has published more than 180 journal and conference articles. Professor Rueckert is an associate editor of IEEE Transactions on Medical Imaging and a referee for a number of international medical imaging journals and conferences.

Research Themes:

Biometrics & Behaviometrics:
Face identification from 3D face imagery

Projects:

4D-FAB

Publications

Journal articles

A Robust Similarity Measure for Volumetric Image Registration with Outliers

P. Snape, S. Pszczolkowski, S. Zafeiriou, G. Tzimiropoulos, C. Ledig, D. Rueckert. Image and Vision Computing. 52: pp. 97 - 113, August 2016.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]

Recognition of 3D Facial Expression Dynamics

G. Sandbach, S. Zafeiriou, M. Pantic, D. Rueckert. Image and Vision Computing. 30(10): pp. 762 - 773, 3D Facial Behaviour Analysis and Understanding. 2012.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]
%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

Conference articles

Differential Dementia Diagnosis on Incomplete Data with Latent Trees

C. Ledig, S. Kaltwang, A. Tolonen, J. Koikkalainen, P. Scheltens, F. Barkhof, H. Rhodius-meester, B. Tijms, A. W. Lemstra, W. Van der flier, J. Lotjonen, D. Rueckert. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. Springer, pp. 44 - 52, October 2016.

Bibtex reference [hide]
@inproceedings{Ledig2016Differential,
    author = {C. Ledig and S. Kaltwang and A. Tolonen and J. Koikkalainen and P. Scheltens and F. Barkhof and H. Rhodius-meester and B. Tijms and A. W. Lemstra and W. Van der flier and J. Lotjonen and D. Rueckert},
    pages = {44--52},
    booktitle = {Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016},
    month = {October},
    publisher = {Springer},
    series = {Lecture Notes in Computer Science},
    title = {Differential Dementia Diagnosis on Incomplete Data with Latent Trees},
    year = {2016},
}
Endnote reference [hide]

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.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]
%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

Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images

Q. Gao, A. Asthana, T. Tong, Y. Hu, D. Rueckert, P. Edwards. International Conference on Pattern Recognition (ICPR 2014). Stockholm, Sweden, August 2014.

Bibtex reference [hide]
@inproceedings{gao2014hybrid,
    author = {Q. Gao and A. Asthana and T. Tong and Y. Hu and D. Rueckert and P. Edwards},
    address = {Stockholm, Sweden},
    booktitle = {International Conference on Pattern Recognition (ICPR 2014)},
    month = {August},
    title = {Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images},
    year = {2014},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images
%A Gao, Q.
%A Asthana, A.
%A Tong, T.
%A Hu, Y.
%A Rueckert, D.
%A Edwards, P.
%B International Conference on Pattern Recognition (ICPR 2014)
%D 2014
%8 August
%C Stockholm, Sweden
%F gao2014hybrid

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.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]
%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

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.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]
%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