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BERNARD Florian

Main Referenced Co-authors
Gemmar, Peter (10)
HERTEL, Frank  (10)
THUNBERG, Johan  (8)
GONCALVES, Jorge  (7)
HUSCH, Andreas  (7)
Main Referenced Keywords
deep brain stimulation (2); transformation synchronisation (2); accuracy (1); computed tomography (1); DBS (1);
Main Referenced Unit & Research Centers
Luxembourg Centre for Systems Biomedicine (LCSB): Systems Control (Goncalves Group) (2)
Centre Hospitalier de Luxembourg: National Department of Neurosurgery (Hertel Group) (1)
Luxembourg Centre for Systems Biomedicine (LCSB): Experimental Neurobiology (Balling Group) (1)
Luxembourg Centre for Systems Biomedicine (LCSB): Integrative Cell Signalling (Skupin Lab) (1)
Luxembourg Centre for Systems Biomedicine (LCSB): Machine Learning (Vlassis Group) (1)
Main Referenced Disciplines
Computer science (11)
Engineering, computing & technology: Multidisciplinary, general & others (2)
Neurology (1)
Surgery (1)
Human health sciences: Multidisciplinary, general & others (1)

Publications (total 14)

The most downloaded
1466 downloads
Bernard, F., Schmidt, F. R., Thunberg, J., & Cremers, D. (2017). A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. In The proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/CVPR.2017.157 https://hdl.handle.net/10993/31048

The most cited

38 citations (Scopus®)

Bernard, F., Thunberg, J., Gemmar, P., Hertel, F., Husch, A., & Goncalves, J. (2015). A solution for Multi-Alignment by Transformation Synchronisation. In The proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. https://hdl.handle.net/10993/20807

Thunberg, J., Bernard, F., & Goncalves, J. (June 2017). Distributed methods for synchronization of orthogonal matrices over graphs. Automatica, 80, 243–252. doi:10.1016/j.automatica.2017.02.025
Peer Reviewed verified by ORBi

Bernard, F., Salamanca Mino, L., Thunberg, J., Tack, A., Jentsch, D., Lamecker, H., Zachow, S., Hertel, F., Goncalves, J., & Gemmar, P. (May 2017). Shape-aware surface reconstruction from sparse 3D point-clouds. Medical Image Analysis, 38, 77-89. doi:10.1016/j.media.2017.02.005
Peer Reviewed verified by ORBi

Bernard, F., Schmidt, F. R., Thunberg, J., & Cremers, D. (2017). A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. In The proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/CVPR.2017.157
Peer reviewed

Bernard, F. (2016). Novel Methods for Multi-Shape Analysis [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/29048

Bernard, F., Vlassis, N., Gemmar, P., Husch, A., Thunberg, J., Goncalves, J., & Hertel, F. (2016). Fast Correspondences for Statistical Shape Models of Brain Structures. In SPIE Medical Imaging. doi:10.1117/12.2206024
Peer reviewed

Bernard, F., Gemmar, P., Hertel, F., Goncalves, J., & Thunberg, J. (2016). Linear Shape Deformation Models with Local Support using Graph-based Structured Matrix Factorisation. In Linear Shape Deformation Models with Local Support using Graph-based Structured Matrix Factorisation. doi:10.1109/CVPR.2016.607
Peer reviewed

Salamanca Mino, L., Vlassis, N., Diederich, N., Bernard, F., & Skupin, A. (2015). Improved Parkinson’s disease classification from diffusion MRI data by Fisher vector descriptors. In Improved Parkinson’s disease classification from diffusion MRI data by Fisher vector descriptors (pp. 119-126).
Peer reviewed

Bernard, F., Salamanca Mino, L., Thunberg, J., Hertel, F., Goncalves, J., & Gemmar, P. (2015). Shape-aware 3D Interpolation using Statistical Shape Models. In Shape Symposium (pp. 11).
Peer reviewed

Bernard, F., Thunberg, J., Gemmar, P., Hertel, F., Husch, A., & Goncalves, J. (2015). A solution for Multi-Alignment by Transformation Synchronisation. In The proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE.
Peer reviewed

Bernard, F., Thunberg, J., Salamanca Mino, L., Gemmar, P., Hertel, F., Goncalves, J., & Husch, A. (2015). Transitively Consistent and Unbiased Multi-Image Registration Using Numerically Stable Transformation Synchronisation. MIDAS Journal.
Peer reviewed

Husch, A., Gemmar, P., Lohscheller, J., Bernard, F., & Hertel, F. (2015). Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation. In H. Handels, T. M. Deserno, H.-P. Meinzer, ... T. Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2015 (pp. 77-82). Springer Berlin Heidelberg. doi:10.1007/978-3-662-46224-9_15
Peer reviewed

Hertel, F., Husch, A., Dooms, G., Bernard, F., & Gemmar, P. (2015). Susceptibility-Weighted MRI for Deep Brain Stimulation: Potentials in Trajectory Planning. Stereotactic and Functional Neurosurgery, 93 (5), 303-308. doi:10.1159/000433445
Peer Reviewed verified by ORBi

Bernard, F., Gemmar, P., Husch, A., Saleh, C., Neb, H., Dooms, G., & Hertel, F. (2014). Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equilisation. Biomedizinische Technik. Biomedical Engineering, 59 (1), 131-134. doi:10.1515/bmt-2014-5008
Peer reviewed

Bernard, F., Gemmar, P., Husch, A., & Hertel, F. (2014). An Extensible Development Environment for 3D Segmentations based on Active Shape Models. In Shape Symposium (pp. 39).
Peer reviewed

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