Pierre Decazes

According to our database, Pierre Decazes authored at least 19 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation.

Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux

CoRR, 2023

One-shot Learning for DLBCL Segmentation in Whole Body PET/CT Images.

Lixin Zhang, Yulun Sun, Pierre Decazes, Su Ruan, Yu Guo, Hui Yu

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.

Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Hua Li, Pierre Vera, Pierre Decazes, Su Ruan

Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

2022

Lymphoma segmentation from 3D PET-CT images using a deep evidential network.

Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux

Int. J. Approx. Reason., 2022

Multi-scale feature similarity-based weakly supervised lymphoma segmentation in PET/CT images.

Zhengshan Huang, Yu Guo, Ning Zhang, Xian Huang, Pierre Decazes, Stéphanie Becker, Su Ruan

Comput. Biol. Medicine, 2022

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.

Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joël Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge

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.

Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, Su Ruan, Babak Saboury, Arman Rahmim

CoRR, 2021

Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation.

Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Evidential Segmentation of 3D PET/CT Images.

Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux

Proceedings of the Belief Functions: Theory and Applications, 2021

2020

Lymphoma Segmentation in PET Images Based on Multi-view and Conv3D Fusion Strategy.

Haigen Hu, Leizhao Shen, Tongxue Zhou, Pierre Decazes, Pierre Vera, Su Ruan

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction.

Yu Guo, Pierre Decazes, Stéphanie Becker, Hua Li, Su Ruan

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images.

Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski

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.

Pierre Decazes, David Tonnelet, Pierre Vera, Isabelle Gardin

J. Digit. Imaging, 2019

Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy.

Haigen Hu, Pierre Decazes, Pierre Vera, Hua Li, Su Ruan

Int. J. Comput. Assist. Radiol. Surg., 2019

Gaussian-based Spatial Hybrid Distances for Detection and Segmentation of Lymphoid Lesions in 3D PET Images.

Haigen Hu, Pierre Decazes, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan

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.

Haigen Hu, Chao Du, Pierre Decazes, Pierre Vera, Su Ruan

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Semi-automatic lymphoma detection and segmentation using fully conditional random fields.

Yuntao Yu, Pierre Decazes, Jérôme Lapuyade-Lahorgue, Isabelle Gardin, Pierre Vera, Su Ruan

Comput. Medical Imaging Graph., 2018

3D lymphoma detection in PET-CT images with supervoxel and CRFs.

Jierui Zha, Pierre Decazes, Jérôme Lapuyade, Abderrahim Elmoataz, Su Ruan

Proceedings of the Eighth International Conference on Image Processing Theory, 2018

2017

3D Lymphoma Segmentation in PET/CT Images Based on Fully Connected CRFs.

Yuntao Yu, Pierre Decazes, Isabelle Gardin, Pierre Vera, Su Ruan

Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017