Saïd Ladjal
Orcid: 0000-0002-7205-4898
According to our database1,
Saïd Ladjal
authored at least 38 papers
between 2002 and 2024.
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Bibliography
2024
Deep-Learning Uncertainty Estimation for Data-Consistent Breast Tomosynthesis Reconstruction.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Comput. Vis. Image Underst., August, 2023
DisCoV: Disentangling Time Series Representations via Contrastive based l-Variational Inference.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the 20th ACM SIGGRAPH European Conference on Visual Media Production, 2023
2022
PCA-AE: Principal Component Analysis Autoencoder for Organising the Latent Space of Generative Networks.
J. Math. Imaging Vis., 2022
J. Math. Imaging Vis., 2022
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts.
Comput. Vis. Image Underst., 2022
2021
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier.
Medical Image Anal., 2021
Mach. Learn. Knowl. Extr., 2021
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
2020
J. Math. Imaging Vis., 2020
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks.
CoRR, 2020
Improving Interpretability for Computer-Aided Diagnosis Tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-Based Explanations.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
An Analysis of the Transfer Learning of Convolutional Neural Networks for Artistic Images.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
Resolution-Preserving Speckle Reduction of SAR Images: The Benefits of Speckle Decorrelation and Targets Extraction.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Subpixellic Methods for Sidelobes Suppression and Strong Targets Extraction in Single Look Complex SAR Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
2017
A complex spectrum based SAR image resampling method with restricted target sidelobes and statistics preservation.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2015
J. Math. Imaging Vis., 2015
2013
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013
2012
Proceedings of the 20th European Signal Processing Conference, 2012
2011
IEEE Trans. Geosci. Remote. Sens., 2011
2010
SIAM J. Math. Anal., 2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
2008
IEEE Trans. Image Process., 2008
2007
IEEE Trans. Image Process., 2007
Proceedings of the 15th European Signal Processing Conference, 2007
2006
Extrapolation of Wavelet Features for the Indexing of Satellite Images with Different Resolutions.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2002