Jérôme Lapuyade-Lahorgue

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 15

Top Topics

Statistical Distributions

Outcome Prediction

Tumor Segmentation

Top Venues

IEEE Trans. Reliab.

Publications

Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
Discriminative Hamiltonian variational autoencoder for accurate tumor segmentation in data-scarce regimes. Neurocomputing 606 (2024)
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes. CoRR (2024)
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes. CoRR (2024)
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks. CoRR (2023)
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Hua Li, Pierre Vera, Pierre Decazes, Su Ruan
Prediction of Head-Neck Cancer Recurrence from Pet/CT Images with Havrda-Charvat Entropy. IPTA (2023)
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review. J. Imaging 9 (4) (2023)
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review. CoRR (2023)
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 24 (4) (2022)
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
A Quantitative Comparison between Shannon and Tsallis Havrda Charvat Entropies Applied to Cancer Outcome Prediction. CoRR (2022)
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Alexandre Huat, Sébastien Thureau, David Pasquier, Isabelle Gardin, Romain Modzelewski, David Gibon, Juliette Thariat, Vincent Grégoire, Pierre Vera, Su Ruan
Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436. Entropy 24 (5) (2022)
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Sébastien Bougleux, Mathieu Salaün, Su Ruan
Deep learning using Havrda-Charvat entropy for classification of pulmonary endomicroscopy. CoRR (2021)
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Sébastien Bougleux, Mathieu Salaün, Su Ruan
Deep learning based automatic detection of uninformative images in pulmonary optical endomicroscopy. IPTA (2020)
Haigen Hu, Pierre Decazes, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
Gaussian-based Spatial Hybrid Distances for Detection and Segmentation of Lymphoid Lesions in 3D PET Images. CISP-BMEI (2019)
Yuntao Yu, Pierre Decazes, Jérôme Lapuyade-Lahorgue, Isabelle Gardin, Pierre Vera, Su Ruan
Semi-automatic lymphoma detection and segmentation using fully conditional random fields. Comput. Medical Imaging Graph. 70 (2018)
Jérôme Lapuyade-Lahorgue, Jing-Hao Xue, Su Ruan
Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions. IEEE Trans. Image Process. 26 (7) (2017)
Ilkka Norros, Pirkko Kuusela, Jérôme Lapuyade-Lahorgue, Maurizio Naldi, Mika Sirvio
Repairable Systems With Dependent Components: Stochastic Process Techniques and Models. IEEE Trans. Reliab. 63 (4) (2014)
Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski
Unsupervised segmentation of hidden semi-Markov non-stationary chains. Signal Process. 92 (1) (2012)
Jérôme Lapuyade-Lahorgue, Ali Mohammad-Djafari
Nearest neighbors and correlation dimension for dimensionality estimation. Application to factor analysis of real biological time series data. ESANN (2011)
Pierre Lanchantin, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski
Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise. Signal Process. 91 (2) (2011)
Nicolas Brunel, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski
Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas. IEEE Trans. Autom. Control. 55 (2) (2010)
Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski
Unsupervised segmentation of new semi-Markov chains hidden with long dependence noise. Signal Process. 90 (11) (2010)
Pierre Lanchantin, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski
Unsupervised segmentation of triplet Markov chains hidden with long-memory noise. Signal Process. 88 (5) (2008)