Meaningful Alignments. - Agnès Desolneux; Lionel Moisan; Jean-Michel Morel (Int. J. Comput. Vis., 2000)

Edge Detection by Helmholtz Principle. - Agnès Desolneux; Lionel Moisan; Jean-Michel Morel (J. Math. Imaging Vis., 2001)

Dequantizing image orientation. - Agnès Desolneux; Saïd Ladjal; Lionel Moisan; Jean-Michel Morel (IEEE Trans. Image Process., 2002)

Vanishing Point Detection without Any A Priori Information. - Andrés Almansa; Agnès Desolneux; Sébastien Vamech (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

A Grouping Principle and Four Applications. - Agnès Desolneux; Lionel Moisan; Jean-Michel Morel (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Color Image Segmentation Using Acceptable Histogram Segmentation. - Julie Delon; Agnès Desolneux; Jose Luis Lisani; Ana Belén Petro (IbPRIA (2), 2005)

Automatic color palette. - Julie Delon; Agnès Desolneux; Jose Luis Lisani; Ana Belén Petro (ICIP (2), 2005)

Image Denoising by Statistical Area Thresholding. - David Coupier; Agnès Desolneux; Bernard Ycart (J. Math. Imaging Vis., 2005)

A mammogram registration technique dealing with outliers. - Mohamed Hachama; Frédéric J. P. Richard; Agnès Desolneux (ISBI, 2006)

A Probabilistic Approach for the Simultaneous Mammogram Registration and Abnormality Detection. - Mohamed Hachama; Agnès Desolneux; Frédéric J. P. Richard (Digital Mammography / IWDM, 2006)

Combining Registration and Abnormality Detection in Mammography. - Mohamed Hachama; Agnès Desolneux; Frédéric J. P. Richard (WBIR, 2006)

A Unified Framework for Detecting Groups and Application to Shape Recognition. - Frédéric Cao; Julie Delon; Agnès Desolneux; Pablo Musé; Frédéric Sur (J. Math. Imaging Vis., 2007)

Significant edges in the case of non-stationary Gaussian noise. - Isabelle Abraham; Romain Abraham; Agnès Desolneux; S. Li-Thiao-Te (Pattern Recognit., 2007)

A Nonparametric Approach for Histogram Segmentation. - Julie Delon; Agnès Desolneux; Jose Luis Lisani; Ana Belén Petro (IEEE Trans. Image Process., 2007)

A classifying registration technique for the estimation of enhancement curves of DCE-CT scan sequences. - Mohamed Hachama; Agnès Desolneux; Charles-André Cuenod; Frédéric J. P. Richard (Medical Image Anal., 2010)

Stabilization of Flicker-Like Effects in Image Sequences through Local Contrast Correction. - Julie Delon; Agnès Desolneux (SIAM J. Imaging Sci., 2010)

A Probabilistic Grouping Principle to Go from Pixels to Visual Structures. - Agnès Desolneux (DGCI, 2011)

A patch-based approach for random-valued impulse noise removal. - Julie Delon; Agnès Desolneux (ICASSP, 2012)

A compact representation of random phase and Gaussian textures. - Agnès Desolneux; Lionel Moisan; Samuel Ronsin (ICASSP, 2012)

A Fourier Approach for the Level Crossings of Shot Noise Processes with Jumps. - Hermine Biermé; Agnès Desolneux (J. Appl. Probab., 2012)

Bayesian Technique for Image Classifying Registration. - Mohamed Hachama; Agnès Desolneux; Frédéric J. P. Richard (IEEE Trans. Image Process., 2012)

A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise. - Julie Delon; Agnès Desolneux (SIAM J. Imaging Sci., 2013)

Locally Gaussian exemplar based texture synthesis. - Lara Raad; Agnès Desolneux; Jean-Michel Morel (ICIP, 2014)

Multiscale Exemplar Based Texture Synthesis by Locally Gaussian Models. - Lara Raad; Agnès Desolneux; Jean-Michel Morel (CIARP, 2015)

Conditional Gaussian Models for Texture Synthesis. - Lara Raad; Agnès Desolneux; Jean-Michel Morel (SSVM, 2015)

A Novel 3D Stochastic Solid Breast Texture Model for X-Ray Breast Imaging. - Zhijin Li; Agnès Desolneux; Serge Muller; Ann-Katherine Carton (Digital Mammography / IWDM, 2016)

When the a contrario approach becomes generative. - Agnès Desolneux (Int. J. Comput. Vis., 2016)

PARIGI: a Patch-based Approach to Remove Impulse-Gaussian Noise from Images. - Julie Delon; Agnès Desolneux; Thierry Guillemot (Image Process. Line, 2016)

An Anisotropic A Contrario Framework for the Detection of Convergences in Images. - Agnès Desolneux; Fanny Doré (J. Math. Imaging Vis., 2016)

A Conditional Multiscale Locally Gaussian Texture Synthesis Algorithm. - Lara Raad; Agnès Desolneux; Jean-Michel Morel (J. Math. Imaging Vis., 2016)

Stochastic Image Reconstruction from Local Histograms of Gradient Orientation. - Agnès Desolneux; Arthur Leclaire (SSVM, 2017)

A survey of exemplar-based texture synthesis. - Lara Raad; Axel Davy; Agnès Desolneux; Jean-Michel Morel (CoRR, 2017)

Comparison of microcalcification detectability in FFDM and DBT using a virtual clinical trial. - Zhijin Li; Agnès Desolneux; Serge Muller; Pablo Milioni de Carvalho; Ann-Katherine Carton (Image Perception, Observer Performance, and Technology Assessment, 2018)

Stochastic Image Models from SIFT-Like Descriptors. - Agnès Desolneux; Arthur Leclaire (SIAM J. Imaging Sci., 2018)

Detection of Small Anomalies on Moving Background. - Axel Davy; Agnès Desolneux; Jean-Michel Morel (ICIP, 2019)

Macrocanonical Models for Texture Synthesis. - Valentin De Bortoli; Agnès Desolneux; Bruno Galerne; Arthur Leclaire (SSVM, 2019)

RNLp: Mixing Nonlocal and TV-Lp Methods to Remove Impulse Noise from Images. - Julie Delon; Agnès Desolneux; Camille Sutour; Agathe Viano (J. Math. Imaging Vis., 2019)

Patch Redundancy in Images: A Statistical Testing Framework and Some Applications. - Valentin De Bortoli; Agnès Desolneux; Bruno Galerne; Arthur Leclaire (SIAM J. Imaging Sci., 2019)

Unidentified Floating Object detection in maritime environment using dictionary learning. - Darshan Venkatrayappa; Agnès Desolneux; Jean-Michel Hubert; Josselin Manceau (CoRR, 2020)

Exact sampling of determinantal point processes without eigendecomposition. - Claire Launay; Bruno Galerne; Agnès Desolneux (J. Appl. Probab., 2020)

A Wasserstein-Type Distance in the Space of Gaussian Mixture Models. - Julie Delon; Agnès Desolneux (SIAM J. Imaging Sci., 2020)

On quantitative Laplace-type convergence results for some exponential probability measures, with two applications. - Valentin De Bortoli; Agnès Desolneux (CoRR, 2021)

Determinantal Point Processes for Image Processing. - Claire Launay; Agnès Desolneux; Bruno Galerne (SIAM J. Imaging Sci., 2021)

Maximum Entropy Methods for Texture Synthesis: Theory and Practice. - Valentin De Bortoli; Agnès Desolneux; Alain Durmus; Bruno Galerne; Arthur Leclaire (SIAM J. Math. Data Sci., 2021)

Can Push-forward Generative Models Fit Multimodal Distributions? - Antoine Salmona; Valentin De Bortoli; Julie Delon; Agnès Desolneux (NeurIPS, 2022)

Unidentified Floating Object Detection in Maritime Environment. - Darshan Venkatrayappa; Agnès Desolneux; Jean-Michel Hubert; Josselin Manceau (VISIGRAPP (5: VISAPP), 2022)

Gromov-Wasserstein distances between Gaussian distributions. - Julie Delon; Agnès Desolneux; Antoine Salmona (J. Appl. Probab., 2022)

Optimal Transport Between GMM for Multiscale Texture Synthesis. - Julie Delon; Agnès Desolneux; Laurent Facq; Arthur Leclaire (SSVM, 2023)

Gromov-Wassertein-like Distances in the Gaussian Mixture Models Space. - Antoine Salmona; Julie Delon; Agnès Desolneux (CoRR, 2023)

A 3D Mathematical Breast Texture Model With Parameters Automatically Inferred From Clinical Breast CT Images. - Zhijin Li; Ann-Katherine Carton; Serge Muller; Thomas Almecija; Pablo Milioni de Carvalho; Agnès Desolneux (IEEE Trans. Medical Imaging, 2023)

Contrastive Learning: An Efficient Domain Adaptation Strategy for 2D Mammography Image Classification. - Gonzalo Iñaki Quintana; Vincent Jugnon; Laurence Vancamberg; Agnès Desolneux; Mathilde Mougeot (ISBI, 2024)

BN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning. - Gonzalo Iñaki Quintana; Laurence Vancamberg; Vincent Jugnon; Mathilde Mougeot; Agnès Desolneux (CoRR, 2024)

Gromov-Wasserstein-like Distances in the Gaussian Mixture Models Space. - Antoine Salmona; Agnès Desolneux; Julie Delon (Trans. Mach. Learn. Res., 2024)

Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application. - Gonzalo Iñaki Quintana; Laurence Vancamberg; Vincent Jugnon; Agnès Desolneux; Mathilde Mougeot (CoRR, 2025)