Pierre Vera

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 50

Top Topics

Outcome Prediction

Image Segmentation

Weakly Supervised

Top Venues

Medical Image Anal.

Comput. Medical Imaging Graph.

Publications

Fethi Ghazouani, Pierre Vera, Su Ruan
Efficient brain tumor segmentation using Swin transformer and enhanced local self-attention. Int. J. Comput. Assist. Radiol. Surg. 19 (2) (2024)
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks. CoRR (2023)
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)
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 24 (4) (2022)
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
A Quantitative Comparison between Shannon and Tsallis Havrda Charvat Entropies Applied to Cancer Outcome Prediction. CoRR (2022)
Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images. CoRR (2022)
Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction. J. Imaging 8 (5) (2022)
Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
Multi-task multi-scale learning for outcome prediction in 3D PET images. Comput. Biol. Medicine 151 (Part) (2022)
Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
Evidence fusion with contextual discounting for multi-modality medical image segmentation. 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)
Tongxue Zhou, Pierre Vera, Stéphane Canu, Su Ruan
Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation. Pattern Recognit. Lett. 158 (2022)
Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation. MICCAI (5) (2022)
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
Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436. Entropy 24 (5) (2022)
Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
A Tri-Attention fusion guided multi-modal segmentation network. Pattern Recognit. 124 (2022)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation. MICAD (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. CoRR (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities. IEEE Trans. Image Process. 30 (2021)
Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
A Tri-attention Fusion Guided Multi-modal Segmentation Network. CoRR (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Feature-enhanced generation and multi-modality fusion based deep neural network for brain tumor segmentation with missing MR modalities. Neurocomputing 466 (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities. CoRR (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities. 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, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
Weakly Supervised PET Tumor Detection Using Class Response. CoRR (2020)
Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski
RADIOGAN: Deep Convolutional Conditional Generative adversarial Network To Generate PET Images. CoRR (2020)
Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski
RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images. ICBRA (2020)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Brain tumor segmentation with missing modalities via latent multi-source correlation representation. CoRR (2020)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. ICPR (2020)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation. MICCAI (4) (2020)
Vincent Sater, Pierre-Julien Viailly, Thierry Lecroq, Élise Prieur-Gaston, Élodie Bohers, Mathieu Viennot, Philippe Ruminy, Hélène Dauchel, Pierre Vera, Fabrice Jardin
UMI-VarCal: a new UMI-based variant caller that efficiently improves low-frequency variant detection in paired-end sequencing NGS libraries. Bioinform. 36 (9) (2020)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions. IEEE Trans. Image Process. 28 (2) (2019)
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)
Fan Wang, Chunfeng Lian, Pierre Vera, Su Ruan
Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG-PET images. Multim. Syst. 25 (2) (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)
Haigen Hu, Chao Du, Qiu Guan, Qianwei Zhou, Pierre Vera, Su Ruan
A Background-based Data Enhancement Method for Lymphoma Segmentation in 3D PET Images. BIBM (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)
Chunfeng Lian, Hua Li, Pierre Vera, Su Ruan
Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion. ISBI (2018)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images. IEEE Trans. Biomed. Eng. 65 (1) (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)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric. ISBI (2017)
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)
Paul Desbordes, Su Ruan, Romain Modzelewski, Vauclin Sébastien, Pierre Vera, Isabelle Gardin
Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier. Comput. Medical Imaging Graph. 60 (2017)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Yu Guo, Pierre Vera
Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images. ICIP (2017)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images. MICCAI (2) (2016)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Fabrice Jardin, Pierre Vera
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction. Medical Image Anal. 32 (2016)
S. Vauclin, Christian Michel, Irène Buvat, K. Doyeux, A. Edet-Sanson, Pierre Vera, Isabelle Gardin, S. Hapdey
F-FDG PET: Application to lesion detectability and volume measurements. Comput. Methods Programs Biomed. 118 (1) (2015)
Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
Robust feature selection to predict tumor treatment outcome. Artif. Intell. Medicine 64 (3) (2015)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Pierre Vera
Outcome prediction in tumour therapy based on Dempster-Shafer theory. ISBI (2015)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy. MICCAI (3) (2015)
Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan
Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images. Medical Image Anal. 23 (1) (2015)
Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
Automatic lung tumor segmentation on PET images based on random walks and tumor growth model. ISBI (2014)
Benoît Lelandais, Su Ruan, Thierry Denoeux, Pierre Vera, Isabelle Gardin
Fusion of multi-tracer PET images for dose painting. Medical Image Anal. 18 (7) (2014)
Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET. IEEE Trans. Medical Imaging 33 (4) (2014)
Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan
Dealing with uncertainty and imprecision in image segmentation using belief function theory. Int. J. Approx. Reason. 55 (1) (2014)
D. P. Onoma, Su Ruan, Sébastien Thureau, Lamyaa Nkhali, Romain Modzelewski, G. A. Monnehan, Pierre Vera, Isabelle Gardin
Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm. Comput. Medical Imaging Graph. 38 (8) (2014)
Hongmei Mi, Caroline Petitjean, Su Ruan, Pierre Vera, Bernard Dubray
Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model. ISBI (2013)
Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan
Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy. MICCAI (1) (2012)
Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan
Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing. Belief Functions (2012)
D. P. Onoma, Su Ruan, Isabelle Gardin, G. A. Monnehan, Romain Modzelewski, Pierre Vera
3D random walk based segmentation for lung tumor delineation in PET imaging. ISBI (2012)
Romain Modzelewski, Elise Janvresse, Thierry de la Rue, Pierre Vera
Brain perfusion heterogeneity measurement based on Random Walk algorithm: Choice and influence of inner parameters. Comput. Medical Imaging Graph. 34 (4) (2010)