Pierre Decazes
Orcid: 0000-0001-5323-9910
According to our database1,
Pierre Decazes
authored at least 21 papers
between 2017 and 2025.
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Bibliography
2025
Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation.
Inf. Fusion, 2025
2024
2023
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation.
CoRR, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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
Int. J. Approx. Reason., 2022
Multi-scale feature similarity-based weakly supervised lymphoma segmentation in PET/CT images.
Comput. Biol. Medicine, 2022
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
2021
AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics.
CoRR, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Belief Functions: Theory and Applications, 2021
2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images.
Proceedings of the ICBRA 2020: 7th International Conference on Bioinformatics Research and Applications, 2020
2019
Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT.
J. Digit. Imaging, 2019
Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy.
Int. J. Comput. Assist. Radiol. Surg., 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
A Prior Knowledge Intergrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAs.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 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
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017