Pierre Decazes

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 23

Top Topics

Tumor Segmentation

Outcome Prediction

Positron Emission Tomography

Top Venues

Int. J. Approx. Reason.

Publications

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)
Lixin Zhang, Yulun Sun, Pierre Decazes, Su Ruan, Yu Guo, Hui Yu
One-shot Learning for DLBCL Segmentation in Whole Body PET/CT Images. ISBI (2023)
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation. CoRR (2023)
Zhengshan Huang, Yu Guo, Ning Zhang, Xian Huang, Pierre Decazes, Stephanie Becker, Su Ruan
Multi-scale feature similarity-based weakly supervised lymphoma segmentation in PET/CT images. Comput. Biol. Medicine 151 (Part) (2022)
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
Lymphoma segmentation from 3D PET-CT images using a deep evidential network. CoRR (2022)
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 Mohamed, Mohamed Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI (2022)
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
Lymphoma segmentation from 3D PET-CT images using a deep evidential network. Int. J. Approx. Reason. 149 (2022)
Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. MLMI@MICCAI (2021)
Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, Su Ruan, Babak Saboury, Arman Rahmim
AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics. CoRR (2021)
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
Evidential Segmentation of 3D PET/CT Images. BELIEF (2021)
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
Evidential segmentation of 3D PET/CT images. CoRR (2021)
Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation. CoRR (2021)
Haigen Hu, Leizhao Shen, Tongxue Zhou, Pierre Decazes, Pierre Vera, Su Ruan
Lymphoma Segmentation in PET Images Based on Multi-view and Conv3D Fusion Strategy. ISBI (2020)
Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski
RADIOGAN: Deep Convolutional Conditional Generative adversarial Network To Generate PET Images. CoRR (2020)
Yu Guo, Pierre Decazes, Stéphanie Becker, Hua Li, Su Ruan
Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction. ISBI (2020)
Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski
RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images. ICBRA (2020)
Haigen Hu, Chao Du, Pierre Decazes, Pierre Vera, Su Ruan
A Prior Knowledge Intergrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAs. BIBM (2019)
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)
Pierre Decazes, David Tonnelet, Pierre Vera, Isabelle Gardin
Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT. J. Digit. Imaging 32 (2) (2019)
Haigen Hu, Pierre Decazes, Pierre Vera, Hua Li, Su Ruan
Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy. Int. J. Comput. Assist. Radiol. Surg. 14 (10) (2019)
Jierui Zha, Pierre Decazes, Jérôme Lapuyade, Abderrahim Elmoataz, Su Ruan
3D lymphoma detection in PET-CT images with supervoxel and CRFs. IPTA (2018)
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)
Yuntao Yu, Pierre Decazes, Isabelle Gardin, Pierre Vera, Su Ruan
3D Lymphoma Segmentation in PET/CT Images Based on Fully Connected CRFs. CMMI/RAMBO/SWITCH@MICCAI (2017)