Jérôme Lapuyade-Lahorgue
Orcid: 0000-0002-2638-6795Affiliations:
- Université de Rouen, France
According to our database1,
Jérôme Lapuyade-Lahorgue
authored at least 18 papers
between 2008 and 2023.
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Bibliography
2023
J. Imaging, 2023
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks.
CoRR, 2023
Prediction of Head-Neck Cancer Recurrence from Pet/CT Images with Havrda-Charvat Entropy.
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023
2022
A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction.
Entropy, 2022
Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436.
Entropy, 2022
2021
Deep learning using Havrda-Charvat entropy for classification of pulmonary endomicroscopy.
CoRR, 2021
2020
Deep learning based automatic detection of uninformative images in pulmonary optical endomicroscopy.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020
2019
Gaussian-based Spatial Hybrid Distances for Detection and Segmentation of Lymphoid Lesions in 3D PET Images.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019
2018
Semi-automatic lymphoma detection and segmentation using fully conditional random fields.
Comput. Medical Imaging Graph., 2018
Proceedings of the Eighth International Conference on Image Processing Theory, 2018
2017
Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions.
IEEE Trans. Image Process., 2017
2014
Repairable Systems With Dependent Components: Stochastic Process Techniques and Models.
IEEE Trans. Reliab., 2014
2012
Signal Process., 2012
2011
Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise.
Signal Process., 2011
Nearest neighbors and correlation dimension for dimensionality estimation. Application to factor analysis of real biological time series data.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
2010
Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas.
IEEE Trans. Autom. Control., 2010
Unsupervised segmentation of new semi-Markov chains hidden with long dependence noise.
Signal Process., 2010
2008
Signal Process., 2008