Screening MR imaging versus screening ultrasound: pros and cons, Magnetic Resonance Imaging Clinics, vol.21, issue.3, pp.495-508, 2013. ,
Multi-focus image fusion in DCT domain using variance and energy of Laplacian and correlation coefficient for visual sensor networks, Journal of AI and Data Mining, vol.6, pp.233-250, 2018. ,
An overview of multi-modal medical image fusion, Neurocomputing, vol.215, pp.3-20, 2016. ,
Medical image fusion: A survey of the state of the art, Information Fusion, vol.19, pp.4-19, 2014. ,
Non-Gaussian model-based fusion of noisy images in the wavelet domain, Computer Vision and Image Understanding, vol.114, issue.1, pp.54-65, 2010. ,
A combined PET/CT scanner: the path to true image fusion, The British journal of radiology, vol.75, pp.24-30, 2002. ,
Data fusion in the field of non destructive testing, Maximum Entropy and Bayesian Methods, pp.311-316, 1996. ,
Fusion of magnetic resonance and ultrasound images for endometriosis detection, IEEE Trans. Image Process, vol.29, pp.5324-5335, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02538458
Joint sparse recovery of misaligned multimodal images via adaptive local and nonlocal cross-modal regularization, Proc. IEEE Int. Workshop Comput. Adv. Multi-Sensor Adaptive Process. (CAMSAP), 2019. ,
Mapping and characterizing endometrial implants by registering 2D transvaginal ultrasound to 3D pelvic magnetic resonance images, Computerized Medical Imaging and Graphics, vol.45, pp.11-25, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01598206
LRTV: MR image super-resolution with low-rank and total variation regularizations, IEEE Trans. Med. Imaging, vol.34, pp.2459-2466, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01154770
Generalized Rayleigh distribution: different methods of estimations, Computational statistics & data analysis, vol.49, pp.187-200, 2005. ,
Deviations from Rayleigh statistics in ultrasonic speckle, Ultrasonic imaging, vol.10, issue.2, pp.81-89, 1988. ,
Rigid registration of 3D ultrasound with MR images: a new approach combining intensity and gradient information, IEEE Trans. Med. Imaging, vol.20, issue.10, pp.1038-1049, 2001. ,
URL : https://hal.archives-ouvertes.fr/cea-00333699
Fusion of magnetic resonance and ultrasound images: A preliminary study on simulated data, Proc. IEEE Int. Symp. Biomed. Imaging (ISBI), pp.1733-1736, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02612936
Proximal alternating linearized minimization or nonconvex and nonsmooth problems, Mathematical Programming, vol.146, issue.1-2, pp.459-494, 2014. ,
On the design of a pelvic phantom for magentic resononance and utltrasound image fusion, 2019 IEEE International Ultrasonics Symposium (IUS), Glasgow, pp.2400-2403, 2019. ,
On the definition of signal-to-noise ratio and contrast-to-noise ratio for fMRI data, PloS one, vol.8, issue.11, p.77089, 2013. ,
Motion estimation-based image enhancement in ultrasound imaging, Ultrasonics, vol.60, pp.19-26, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01278901