Pierre Vera

77 papers B 2Journal 47Unranked 28
YearRankTypeTitle / Venue / Authors
2025 — conf
AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation.
ISBI
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2025 J jnl
AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation.
CoRR
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2025 J jnl
Generation of super-resolution for medical image via a self-prior guided Mamba network with edge-aware constraint.
Pattern Recognit. Lett.
Zexin Ji, Beiji Zou, Xiaoyan Kui, Hua Li, Pierre Vera, Su Ruan
2025 J jnl
Iterative Collaboration Network Guided by Reconstruction Prior for Medical Image Super-Resolution.
IEEE Trans. Computational Imaging
Xiaoyan Kui, Zexin Ji, Beiji Zou, Yang Li, Yulan Dai, Liming Chen, Pierre Vera, Su Ruan
2025 J jnl
Mamba Based Feature Extraction And Adaptive Multilevel Feature Fusion For 3D Tumor Segmentation From Multi-modal Medical Image.
CoRR
Zexin Ji, Beiji Zou, Xiaoyan Kui, Hua Li, Pierre Vera, Su Ruan
2025 — conf
Mamba Based Feature Extraction and Adaptive Multilevel Feature Fusion for 3D Tumor Segmentation from Multi-modal Medical Image.
ICIC (28)
Zexin Ji, Beiji Zou, Xiaoyan Kui, Hua Li, Pierre Vera, Su Ruan
2025 J jnl
Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation.
Comput. Medical Imaging Graph.
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024 — conf
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes.
ISBI
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024 J jnl
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes.
CoRR
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024 — conf
Deform-Mamba Network for MRI Super-Resolution.
MICCAI (7)
Zexin Ji, Beiji Zou, Xiaoyan Kui, Pierre Vera, Su Ruan
2024 J jnl
Deform-Mamba Network for MRI Super-Resolution.
CoRR
Zexin Ji, Beiji Zou, Xiaoyan Kui, Pierre Vera, Su Ruan
2024 J jnl
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes.
CoRR
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024 J jnl
Discriminative Hamiltonian variational autoencoder for accurate tumor segmentation in data-scarce regimes.
Neurocomputing
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024 J jnl
Efficient brain tumor segmentation using Swin transformer and enhanced local self-attention.
Int. J. Comput. Assist. Radiol. Surg.
Fethi Ghazouani, Pierre Vera, Su Ruan
2024 J jnl
Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution.
CoRR
Zexin Ji, Beiji Zou, Xiaoyan Kui, Pierre Vera, Su Ruan
2024 — conf
Self-prior Guided Mamba-UNet Networks for Medical Image Super-Resolution.
ICPR (11)
Zexin Ji, Beiji Zou, Xiaoyan Kui, Pierre Vera, Su Ruan
2023 — conf
End-to-End Autoencoding Architecture for the Simultaneous Generation of Medical Images and Corresponding Segmentation Masks.
MICAD
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2023 J jnl
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks.
CoRR
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
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
A Quantitative Comparison between Shannon and Tsallis Havrda Charvat Entropies Applied to Cancer Outcome Prediction.
CoRR
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2022 J jnl
A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction.
Entropy
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2022 J jnl
A Tri-Attention fusion guided multi-modal segmentation network.
Pattern Recognit.
Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
2022 J jnl
Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436.
Entropy
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
2022 — conf
Deep Learning Based Radiomics to Predict Treatment Response Using Multi-datasets.
MICAD
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
2022 — conf
Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation.
MICCAI (5)
Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
2022 J jnl
Evidence fusion with contextual discounting for multi-modality medical image segmentation.
CoRR
Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
2022 J jnl
Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation.
Pattern Recognit. Lett.
Tongxue Zhou, Pierre Vera, Stéphane Canu, Su Ruan
2022 J jnl
Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images.
CoRR
Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
2022 J jnl
Multi-task multi-scale learning for outcome prediction in 3D PET images.
Comput. Biol. Medicine
Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, 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
2022 J jnl
Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction.
J. Imaging
Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
2021 J jnl
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint.
CoRR
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021 — conf
A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation.
MICAD
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021 J jnl
A Tri-attention Fusion Guided Multi-modal Segmentation Network.
CoRR
Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
2021 J jnl
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities.
CoRR
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021 J jnl
Feature-enhanced generation and multi-modality fusion based deep neural network for brain tumor segmentation with missing MR modalities.
Neurocomputing
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021 J jnl
Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities.
IEEE Trans. Image Process.
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021 J jnl
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities.
CoRR
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020 B conf
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint.
ICPR
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020 — conf
Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation.
MICCAI (4)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020 J jnl
Brain tumor segmentation with missing modalities via latent multi-source correlation representation.
CoRR
Tongxue Zhou, Stéphane Canu, Pierre Vera, 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
2020 J jnl
UMI-VarCal: a new UMI-based variant caller that efficiently improves low-frequency variant detection in paired-end sequencing NGS libraries.
Bioinform.
Vincent Sater, Pierre-Julien Viailly, Thierry Lecroq, Élise Prieur-Gaston, Élodie Bohers, Mathieu Viennot, Philippe Ruminy, Hélène Dauchel, Pierre Vera, Fabrice Jardin
2020 J jnl
Weakly Supervised PET Tumor Detection Using Class Response.
CoRR
Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
2019 — conf
A Background-based Data Enhancement Method for Lymphoma Segmentation in 3D PET Images.
BIBM
Haigen Hu, Chao Du, Qiu Guan, Qianwei Zhou, Pierre Vera, Su Ruan
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
Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG-PET images.
Multim. Syst.
Fan Wang, Chunfeng Lian, 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
2019 J jnl
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions.
IEEE Trans. Image Process.
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
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
2018 J jnl
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images.
IEEE Trans. Biomed. Eng.
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2018 — conf
Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion.
ISBI
Chunfeng Lian, Hua Li, 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
2017 B conf
Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images.
ICIP
Chunfeng Lian, Su Ruan, Thierry Denoeux, Yu Guo, Pierre Vera
2017 J jnl
Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier.
Comput. Medical Imaging Graph.
Paul Desbordes, Su Ruan, Romain Modzelewski, Vauclin Sébastien, Pierre Vera, Isabelle Gardin
2017 — conf
Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric.
ISBI
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2016 — conf
Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images.
MICCAI (2)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2016 J jnl
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction.
Medical Image Anal.
Chunfeng Lian, Su Ruan, Thierry Denoeux, Fabrice Jardin, Pierre Vera
2015 — conf
Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy.
MICCAI (3)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2015 J jnl
Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images.
Medical Image Anal.
Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan
2015 J jnl
Monte-Carlo simulations of clinically realistic respiratory gated
Comput. Methods Programs Biomed.
S. Vauclin, Christian Michel, Irène Buvat, K. Doyeux, A. Edet-Sanson, Pierre Vera, Isabelle Gardin, Sebastien Hapdey
2015 — conf
Outcome prediction in tumour therapy based on Dempster-Shafer theory.
ISBI
Chunfeng Lian, Su Ruan, Thierry Denoeux, Pierre Vera
2015 J jnl
Robust feature selection to predict tumor treatment outcome.
Artif. Intell. Medicine
Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
2014 — conf
Automatic lung tumor segmentation on PET images based on random walks and tumor growth model.
ISBI
Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
2014 J jnl
Dealing with uncertainty and imprecision in image segmentation using belief function theory.
Int. J. Approx. Reason.
Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan
2014 J jnl
Fusion of multi-tracer PET images for dose painting.
Medical Image Anal.
Benoît Lelandais, Su Ruan, Thierry Denoeux, Pierre Vera, Isabelle Gardin
2014 J jnl
Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET.
IEEE Trans. Medical Imaging
Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
2014 J jnl
Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm.
Comput. Medical Imaging Graph.
D. P. Onoma, Su Ruan, Sébastien Thureau, Lamyaa Nkhali, Romain Modzelewski, G. A. Monnehan, Pierre Vera, Isabelle Gardin
2013 — conf
Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model.
ISBI
Hongmei Mi, Caroline Petitjean, Su Ruan, Pierre Vera, Bernard Dubray
2012 — conf
3D random walk based segmentation for lung tumor delineation in PET imaging.
ISBI
D. P. Onoma, Su Ruan, Isabelle Gardin, G. A. Monnehan, Romain Modzelewski, Pierre Vera
2012 — conf
Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy.
MICCAI (1)
Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan
2012 — conf
Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing.
Belief Functions
Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan
2010 J jnl
Brain perfusion heterogeneity measurement based on Random Walk algorithm: Choice and influence of inner parameters.
Comput. Medical Imaging Graph.
Romain Modzelewski, Elise Janvresse, Thierry de la Rue, Pierre Vera