Automatic non-linear mapping of pre-procedure CT volumes to 3D ultrasound, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010. ,
DOI : 10.1109/ISBI.2010.5490216
Non-rigid registration between 3D ultrasound and CT images of the liver based on intensity and gradient information, Physics in Medicine and Biology, vol.56, issue.1, pp.117-154, 2010. ,
DOI : 10.1088/0031-9155/56/1/008
Jing Ren Dynamic 2D Ultrasound and 3D CT Image Registration of the Beating Heart, IEEE transactions on medical imaging, vol.28, issue.8, 2009. ,
Dynamic 3D ultrasound and MR image registration of the beating heart " ; in Med, Image Comput. Comput . Assist. Interv. Int. Conf. Med. Image Comput. Comput. Assist. Interv, vol.8, pp.171-178, 2005. ,
Consistent landmark and intensity-based image registration, IEEE Transactions on Medical Imaging, vol.21, issue.5, 2002. ,
DOI : 10.1109/TMI.2002.1009381
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.2726
Summarizing and Visualizing Uncertainty in Non-rigid Registration, MICCAI 2010, Part II, pp.554-561, 2010. ,
DOI : 10.1007/978-3-642-15745-5_68
A Statistics-Based Approach to Binary Image Registration with Uncertainty Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.1, 2007. ,
DOI : 10.1109/TPAMI.2007.250603
Parametric estimation of affine deformations of binary images, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008. ,
DOI : 10.1109/ICASSP.2008.4517753
Probabilistic non-rigid registration of prostate images: Modeling and quantifying uncertainty, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011. ,
DOI : 10.1109/ISBI.2011.5872467
A FAST AND ACCURATE METHOD FOR AUTOMATIC CORONARY ARTERIAL TREE EXTRACTION IN ANGIOGRAMS, Journal of Computer Science, vol.10, issue.10, pp.10-2060, 2014. ,
DOI : 10.3844/jcssp.2014.2060.2076
Hybrid Pixel-based Method for Cardiac Ultrasound Fusion Based on Integration of PCA and DWT Pages, Computational and Mathematical Methods in Medicine Journal, p.16, 2014. ,
Using Wavelet for X-ray Angiography Enhancement, Proceeding of International Conference on Agricultural, Ecological and Medical Sciences, p.2015 ,
Cardiac Components Categorization and Coronary Artery Enhancement in CT Angiography, 2014 International Conference on Computer Assisted System in Health, 2014. ,
DOI : 10.1109/CASH.2014.19
Echocardiography Image Segmentation: A, 2nd International Conference on Advanced Computer Science Applications and Technologies ? ACSAT2013, 2013. ,
Coronary Artery Segmentation in Angiograms with Pattern Recognition Techniques -- A Survey, 2013 International Conference on Advanced Computer Science Applications and Technologies, pp.321-326, 2013. ,
DOI : 10.1109/ACSAT.2013.70
Hybrid Non-rigid Registration Framework for CT and Echocardiography Images " ; Submitted to, Journal of Digital Imaging Journal no, pp.897-1889, 2015. ,
A Robust and Accurate Segmentation of Echocardiographic Images through a Geometrically Constrained Level Set " ; Submitted to, Journal of Cardiothoracic, 2014. ,
Segmentation of Small Animal Computed Tomography Images Using Original CT Values and Converted Grayscale Values, CCTA 2013 IFIP International Federation for Information Processing, pp.470-477, 2014. ,
DOI : 10.1007/978-3-642-54344-9_54
URL : https://hal.archives-ouvertes.fr/hal-01220970
Uncertainty Estimates for Improved Accuracy of Registration-Based Segmentation Propagation using Discrete Optimization " ; MICCAI Challenge Workshop on Segmentation: Algorithms, Theory, 2013. ,
Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint, IEEE Transactions on Medical Imaging, vol.22, issue.6, pp.730-741, 2003. ,
DOI : 10.1109/TMI.2003.814791
Analytically exact correction scheme for signal extraction from noisy magnitude MR signals, Journal of Magnetic Resonance, vol.179, issue.2, pp.317-322, 2006. ,
DOI : 10.1016/j.jmr.2006.01.016
Bootstrap Resampling for Image Registration Uncertainty Estimation Without Ground Truth, IEEE Transactions on Image Processing, vol.19, issue.1, pp.64-73, 2009. ,
DOI : 10.1109/TIP.2009.2030955