Outcome of primary root canal treatment: Systematic review of the literature-Part 1. Effects of study characteristics on probability of success, Int. Endodontic J, vol.40, issue.12, pp.921-939, 2007. ,
Endodontic epidemiology and treatment outcome: General considerations, Endodontic Topics, vol.2, issue.1, pp.1-9, 2002. ,
Current challenges and concepts in the preparation of root canal systems: A review, J. Endodontics, vol.30, issue.8, pp.559-567, 2004. ,
European Commission: Directorate-General for Energy, 2012, the Seventh Framework Programme of the European Atomic Energy Community (Euratom) for Nuclear Research and Training Activities, Accessed: Jul. 15, 2007. ,
A survey of cone-beam computed tomographic use among endodontic practitioners in the united states, J. Endodontics, vol.43, issue.5, pp.699-704, 2017. ,
Anatomical evaluation of the root canal diameter and root thickness on the apical third of mesial roots of molars, Anatomical Sci. Int, vol.86, issue.3, pp.146-150, 2011. ,
Fast and robust multiframe super resolution, IEEE Trans. Image Process, vol.13, issue.10, pp.1327-1344, 2004. ,
Simultaneous image fusion and superresolution using sparse representation, Inf. Fusion, vol.14, issue.3, pp.229-240, 2013. ,
Single-image super-resolution using sparse regression and natural image prior, IEEE Trans. Pattern Anal. Mach. Intell, vol.32, issue.6, pp.1127-1133, 2010. ,
Total variation super-resolution for 3D trabecular bone micro-structure segmentation, Proc. 22nd Eur. Signal Process. Conf. (EUSIPCO), pp.2220-2224, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01076159
LRTV: MR image super-resolution with low-rank and total variation regularizations, IEEE Trans. Med. Imag, vol.34, issue.12, pp.2459-2466, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01154770
Limited angle CT reconstruction by simultaneous spatial and Radon domain regularization based on TV and data-driven tight frame, Nucl. Instrum. Methods Phys. Res. A, Accel. Spectrom. Detect. Assoc. Equip, vol.880, pp.107-117, 2018. ,
Non-local MRI upsampling, Med. Image Anal, vol.14, issue.6, pp.784-792, 2010. ,
Multi-input cardiac image super-resolution using convolutional neural networks, Proc. 19th MICCAI Int. Conf, pp.246-254, 2016. ,
Super resolution convolutional neural networks for increasing spatial resolution of 1 h magnetic resonance spectroscopic imaging, Proc. 21st MIUA Annu. Conf, pp.641-650, 2017. ,
Deep learning-and transfer learningbased super resolution reconstruction from single medical image, J. Healthcare Eng, vol.2017, issue.5859727, 2017. ,
Deep learning-based super-resolution applied to dental computed tomography, IEEE Trans. Radiat. Plasma Med. Sci ,
Hyperspectral super-resolution: A coupled tensor factorization approach, 2018. ,
Tensor decompositions and applications, SIAM Rev, vol.51, issue.3, pp.455-500, 2009. ,
On generic identifiability of 3-tensors of small rank, SIAM J. Matrix Anal. Appl, vol.33, issue.3, pp.1018-1037, 2012. ,
Local scale control for edge detection and blur estimation, IEEE Trans. Pattern Anal. Mach. Intell, vol.20, issue.7, pp.699-716, 1998. ,
A new Tikhonov regularization method, Numer. Algorithms, vol.59, issue.3, pp.433-445, 2012. ,
, , 2016.
Comparison of an adaptive local thresholding method on CBCT and ?CT endodontic images, Phys. Med. Biol, vol.63, issue.1, p.15020, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01790397
Measures of the amount of ecologic association between species, Ecology, vol.26, issue.3, pp.297-302, 1945. ,
, MeVis Medical Solutions AG, 2017.
Low-rank total variation for image super-resolution, Proc. 16th Int. Conf. Med. Image Comput. Assist. Interv. (MICCAI), pp.155-162, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-01485563