Pierre Decazes

27 papers Journal 14Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction.
CoRR
Numan Saeed, Salma Hassan, Shahad Hardan, Ahmed Aly, Darya Taratynova, Umair Nawaz, Ufaq Khan, Muhammad Ridzuan, Vincent Andrearczyk, Adrien Depeursinge, Yutong Xie, Thomas Eugene, Raphaël Metz, Mélanie Dore, Gregory Delpon, Vijay Ram Papineni, Kareem A. Wahid, Cem Dede, Alaa Mohamed Shawky Ali, Carlos Sjogreen, Mohamed A. Naser, Clifton D. Fuller, Valentin Oreiller, Mario Jreige, John O. Prior, Catherine Cheze Le Rest, Olena Tankyevych, Pierre Decazes, Su Ruan, Stephanie Tanadini-Lang, Martin Vallières, Hesham Elhalawani, Ronan Abgral, Romain Floch, Kevin Kerleguer, Ulrike Schick, Maelle Mauguen, David Bourhis, Jean-Christophe Leclere, Amandine Sambourg, Arman Rahmim, Mathieu Hatt, Mohammad Yaqub
2025 J jnl
Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation.
Inf. Fusion
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2024 J jnl
AutoPETIII: The Tracer Frontier. What Frontier?
CoRR
Zacharia Mesbah, Léo Mottay, Romain Modzelewski, Pierre Decazes, Sébastien Hapdey, Su Ruan, Sébastien Thureau
2024 — conf
Neural Ordinary Differential Equations for Dynamic Dual-Tracer PET Image Separation in Silico.
MICAD
Léo Mottay, Hugo Hamon, Pierre Decazes, Sébastien Hapdey, Su Ruan
2023 J jnl
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation.
CoRR
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2023 — conf
One-shot Learning for DLBCL Segmentation in Whole Body PET/CT Images.
ISBI
Lixin Zhang, Yulun Sun, Pierre Decazes, Su Ruan, Yu Guo, Hui Yu
2023 — conf
Prediction of Head-Neck Cancer Recurrence from Pet/CT Images with Havrda-Charvat Entropy.
IPTA
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Hua Li, Pierre Vera, Pierre Decazes, Su Ruan
2022 J jnl
Lymphoma segmentation from 3D PET-CT images using a deep evidential network.
CoRR
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2022 J jnl
Lymphoma segmentation from 3D PET-CT images using a deep evidential network.
Int. J. Approx. Reason.
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2022 J jnl
Multi-scale feature similarity-based weakly supervised lymphoma segmentation in PET/CT images.
Comput. Biol. Medicine
Zhengshan Huang, Yu Guo, Ning Zhang, Xian Huang, Pierre Decazes, Stéphanie Becker, Su Ruan
2022 — conf
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.
HECKTOR@MICCAI
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
2021 J jnl
AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics.
CoRR
Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, Su Ruan, Babak Saboury, Arman Rahmim
2021 — conf
Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation.
MLMI@MICCAI
Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
2021 J jnl
Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation.
CoRR
Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
2021 — conf
Evidential Segmentation of 3D PET/CT Images.
BELIEF
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2021 J jnl
Evidential segmentation of 3D PET/CT images.
CoRR
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2020 — conf
Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction.
ISBI
Yu Guo, Pierre Decazes, Stéphanie Becker, Hua Li, Su Ruan
2020 — conf
Lymphoma Segmentation in PET Images Based on Multi-view and Conv3D Fusion Strategy.
ISBI
Haigen Hu, Leizhao Shen, Tongxue Zhou, Pierre Decazes, Pierre Vera, Su Ruan
2020 — conf
RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images.
ICBRA
Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski
2020 J jnl
RADIOGAN: Deep Convolutional Conditional Generative adversarial Network To Generate PET Images.
CoRR
Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski
2019 — conf
A Prior Knowledge Intergrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAs.
BIBM
Haigen Hu, Chao Du, Pierre Decazes, Pierre Vera, Su Ruan
2019 J jnl
Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT.
J. Digit. Imaging
Pierre Decazes, David Tonnelet, Pierre Vera, Isabelle Gardin
2019 J jnl
Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy.
Int. J. Comput. Assist. Radiol. Surg.
Haigen Hu, Pierre Decazes, Pierre Vera, Hua Li, Su Ruan
2019 — conf
Gaussian-based Spatial Hybrid Distances for Detection and Segmentation of Lymphoid Lesions in 3D PET Images.
CISP-BMEI
Haigen Hu, Pierre Decazes, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2018 — conf
3D lymphoma detection in PET-CT images with supervoxel and CRFs.
IPTA
Jierui Zha, Pierre Decazes, Jérôme Lapuyade, Abderrahim Elmoataz, Su Ruan
2018 J jnl
Semi-automatic lymphoma detection and segmentation using fully conditional random fields.
Comput. Medical Imaging Graph.
Yuntao Yu, Pierre Decazes, Jérôme Lapuyade-Lahorgue, Isabelle Gardin, Pierre Vera, Su Ruan
2017 — conf
3D Lymphoma Segmentation in PET/CT Images Based on Fully Connected CRFs.
CMMI/RAMBO/SWITCH@MICCAI
Yuntao Yu, Pierre Decazes, Isabelle Gardin, Pierre Vera, Su Ruan