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

Characteristic Scale in Satellite Images. - Bin Luo 005; Jean-François Aujol; Yann Gousseau; Saïd Ladjal; Henri Maître (ICASSP (2), 2006)

Extrapolation of Wavelet Features for the Indexing of Satellite Images with Different Resolutions. - Bin Luo 005; Jean-François Aujol; Yann Gousseau; Saïd Ladjal (IGARSS, 2006)

Blind filter identification and image superresolution using subspace methods. - Muriel Gastaud; Saïd Ladjal; Henri Maître (EUSIPCO, 2007)

Resolution-Independent Characteristic Scale Dedicated to Satellite Images. - Bin Luo 005; Jean-François Aujol; Yann Gousseau; Saïd Ladjal; Henri Maître (IEEE Trans. Image Process., 2007)

Indexing of Satellite Images With Different Resolutions by Wavelet Features. - Bin Luo 005; Jean-François Aujol; Yann Gousseau; Saïd Ladjal (IEEE Trans. Image Process., 2008)

A variational approach for the destriping of modis data. - Marouan Bouali; Saïd Ladjal (IGARSS, 2010)

Exemplar-Based Inpainting from a Variational Point of View. - Jean-François Aujol; Saïd Ladjal; Simon Masnou (SIAM J. Math. Anal., 2010)

Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model. - Marouan Bouali; Saïd Ladjal (IEEE Trans. Geosci. Remote. Sens., 2011)

On the amount of regularization for super-resolution interpolation. - Yann Traonmilin; Saïd Ladjal; Andrés Almansa (EUSIPCO, 2012)

Outlier Removal Power of the L1-Norm Super-Resolution. - Yann Traonmilin; Saïd Ladjal; Andrés Almansa (SSVM, 2013)

Robust Multi-image Processing with Optimal Sparse Regularization. - Yann Traonmilin; Saïd Ladjal; Andrés Almansa (J. Math. Imaging Vis., 2015)

A complex spectrum based SAR image resampling method with restricted target sidelobes and statistics preservation. - Rémy Abergel; Saïd Ladjal; Florence Tupin; Jean-Marie Nicolas 002 (IGARSS, 2017)

Weakly Supervised Object Detection in Artworks. - Nicolas Gonthier; Yann Gousseau; Saïd Ladjal; Olivier Bonfait (ECCV Workshops (2), 2018)

A Non Local Multifocus Image Fusion Scheme for Dynamic Scenes. - Cristian Ocampo-Blandon; Yann Gousseau; Saïd Ladjal (ICIP, 2018)

Subpixellic Methods for Sidelobes Suppression and Strong Targets Extraction in Single Look Complex SAR Images. - Rémy Abergel; Loïc Denis; Saïd Ladjal; Florence Tupin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Resolution-Preserving Speckle Reduction of SAR Images: The Benefits of Speckle Decorrelation and Targets Extraction. - Rémy Abergel; Loïc Denis; Florence Tupin; Saïd Ladjal; Charles-Alban Deledalle; Andrés Almansa (IGARSS, 2019)

A PCA-like Autoencoder. - Saïd Ladjal; Alasdair Newson; Chi-Hieu Pham (CoRR, 2019)

Processsing Simple Geometric Attributes with Autoencoders. - Alasdair Newson; Andrés Almansa; Yann Gousseau; Saïd Ladjal (CoRR, 2019)

Regression Constraint for an Explainable Cervical Cancer Classifier. - Antoine Pirovano; Leandro G. Almeida; Saïd Ladjal (CoRR, 2019)

An Analysis of the Transfer Learning of Convolutional Neural Networks for Artistic Images. - Nicolas Gonthier; Yann Gousseau; Saïd Ladjal (ICPR Workshops (3), 2020)

Improving Interpretability for Computer-Aided Diagnosis Tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-Based Explanations. - Antoine Pirovano; Hippolyte Heuberger; Sylvain Berlemont; Saïd Ladjal; Isabelle Bloch (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks. - Chi-Hieu Pham; Saïd Ladjal; Alasdair Newson (CoRR, 2020)

Processing Simple Geometric Attributes with Autoencoders. - Alasdair Newson; Andrés Almansa; Yann Gousseau; Saïd Ladjal (J. Math. Imaging Vis., 2020)

Synthetic Images as a Regularity Prior for Image Restoration Neural Networks. - Raphaël Achddou; Yann Gousseau; Saïd Ladjal (SSVM, 2021)

Automatic Feature Selection for Improved Interpretability on Whole Slide Imaging. - Antoine Pirovano; Hippolyte Heuberger; Sylvain Berlemont; Saïd Ladjal; Isabelle Bloch (Mach. Learn. Knowl. Extr., 2021)

Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier. - Antoine Pirovano; Leandro G. Almeida; Saïd Ladjal; Isabelle Bloch; Sylvain Berlemont (Medical Image Anal., 2021)

Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. - Nicolas Gonthier; Saïd Ladjal; Yann Gousseau (Comput. Vis. Image Underst., 2022)

High-Resolution Neural Texture Synthesis with Long-Range Constraints. - Nicolas Gonthier; Yann Gousseau; Saïd Ladjal (J. Math. Imaging Vis., 2022)

PCA-AE: Principal Component Analysis Autoencoder for Organising the Latent Space of Generative Networks. - Chi-Hieu Pham; Saïd Ladjal; Alasdair Newson (J. Math. Imaging Vis., 2022)

A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing. - Gwilherm Lesné; Yann Gousseau; Saïd Ladjal; Alasdair Newson (CVMP, 2023)

Learning Raw Image Denoising Using a Parametric Color Image Model. - Raphaël Achddou; Yann Gousseau; Saïd Ladjal (ICIP, 2023)

A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction. - Arnaud Quillent; Vincent Jonas Bismuth; Isabelle Bloch; Christophe Kervazo; Saïd Ladjal (MIDL, 2023)

Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. - Raphaël Achddou; Yann Gousseau; Saïd Ladjal (SSVM, 2023)

DisCoV: Disentangling Time Series Representations via Contrastive based l-Variational Inference. - Khalid Oublal; Saïd Ladjal; David Benhaiem; Emmanuel Le-borgne; François Roueff (UniReps, 2023)

Fully synthetic training for image restoration tasks. - Raphaël Achddou; Yann Gousseau; Saïd Ladjal (Comput. Vis. Image Underst., 2023)

Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference. - Khalid Oublal; Saïd Ladjal; David Benhaiem; Emmanuel Le-borgne; François Roueff (ICLR, 2024)

Deep-Learning Uncertainty Estimation for Data-Consistent Breast Tomosynthesis Reconstruction. - Arnaud Quillent; Vincent Jonas Bismuth; Isabelle Bloch; Christophe Kervazo; Saïd Ladjal (ISBI, 2024)

Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images Using Fully Synthetic Training. - Xinxin Xu; Yann Gousseau; Christophe Kervazo; Saïd Ladjal (WHISPERS, 2024)

Neural Film Grain Rendering. - Gwilherm Lesné; Yann Gousseau; Saïd Ladjal; Alasdair Newson (Comput. Graph. Forum, 2025)

VibrantLeaves: A principled parametric image generator for training deep restoration models. - Raphaël Achddou; Yann Gousseau; Saïd Ladjal; Sabine Süsstrunk (CoRR, 2025)