Pierre Vera

发表

A Prior Knowledge Intergrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAs

Su Ruan, Haigen Hu, Chao Du, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A new methodology to derive 3D kinetic parametric FDG PET images based on a mathematical approach integrating an error model of measurement

Pierre Vera, Isabelle Gardin, Elyse Colard, 2018, EJNMMI Research.

Automatic lung tumor segmentation on PET images based on random walks and tumor growth model

Su Ruan, Caroline Petitjean, Pierre Vera, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images

Yu Guo, Thierry Denoeux, Chunfeng Lian, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy

Laurent Mouchard, Su Ruan, Benoît Lelandais, 2012, MICCAI.

Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2015, MICCAI.

Outcome prediction in tumour therapy based on Dempster-Shafer theory

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG–PET images

Fan Wang, Chunfeng Lian, Su Ruan, 2017, Multimedia Systems.

Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions

Chunfeng Lian, Thierry Denœux, Su Ruan, 2019, IEEE Transactions on Image Processing.

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

Su Ruan, Haigen Hu, Pierre Decazes, 2019, 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

Robust feature selection to predict tumor treatment outcome

Su Ruan, Caroline Petitjean, Pierre Vera, 2014, Artif. Intell. Medicine.

Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model

Su Ruan, Caroline Petitjean, Pierre Vera, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Monte Carlo simulations of respiratory gated 18F-FDG PET for the assessment of volume measurement methods

Christian Michel, Pierre Vera, Isabelle Gardin, 2008, 2008 IEEE Nuclear Science Symposium Conference Record.

Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2016, MICCAI.

Dealing with uncertainty and imprecision in image segmentation using belief function theory

Laurent Mouchard, Su Ruan, Benoît Lelandais, 2014, Int. J. Approx. Reason..

Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT

Pierre Vera, Isabelle Gardin, Pierre Decazes, 2019, Journal of Digital Imaging.

3D random walk based segmentation for lung tumor delineation in PET imaging

Su Ruan, Pierre Vera, Isabelle Gardin, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier

Su Ruan, Pierre Vera, Isabelle Gardin, 2017, Comput. Medical Imaging Graph..

MultiSeg : logiciel de comparaison d’algorithmes de segmentation d’images TEP/TDM

Pierre Vera, Isabelle Gardin, Romain Modzelewski, 2012 .

Treatment Outcome Prediction for Cancer Patients Based on Radiomics and Belief Function Theory

Mark A. Anastasio, Chunfeng Lian, Su Ruan, 2019, IEEE Transactions on Radiation and Plasma Medical Sciences.

Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm

Su Ruan, Pierre Vera, Lamyaa Nkhali, 2014, Comput. Medical Imaging Graph..

Fusion of multi-tracer PET images for dose painting

Thierry Denoeux, Su Ruan, Benoît Lelandais, 2014, Medical Image Anal..

MULTISEG: A software tool for the comparison of PET/CT segmentation algorithms

Pierre Vera, Isabelle Gardin, Romain Modzelewski, 2012 .

Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing

Laurent Mouchard, Su Ruan, Benoît Lelandais, 2012, Belief Functions.

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

Su Ruan, Pierre Vera, Isabelle Gardin, 2017, CMMI/RAMBO/SWITCH@MICCAI.

UMI-VarCal: a new UMI-based variant caller that efficiently improves low-frequency variant detection in paired-end sequencing NGS libraries.

Thierry Lecroq, Pierre Vera, Vincent Sater, 2020, Bioinformatics.

Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET

Su Ruan, Caroline Petitjean, Pierre Vera, 2014, IEEE Transactions on Medical Imaging.

Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2016, Medical Image Anal..

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

Su Ruan, Tongxue Zhou, Pierre Decazes, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images

Su Ruan, Caroline Petitjean, Pierre Vera, 2015, Medical Image Anal..

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

Su Ruan, Pierre Vera, Isabelle Gardin, 2018, Comput. Medical Imaging Graph..

Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion

Chunfeng Lian, Su Ruan, Hua Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Robust Feature Selection to Predict Lung Tumor Recurrence

Su Ruan, Pierre Vera, Hongmei Mi, 2015 .

Feature-enhanced generation and multi-modality fusion based deep neural network for brain tumor segmentation with missing MR modalities pdf

Stéphane Canu, Su Ruan, Tongxue Zhou, 2021, Neurocomputing.

Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities

Stéphane Canu, Su Ruan, Tongxue Zhou, 2021, IEEE Transactions on Image Processing.

A Tri-attention Fusion Guided Multi-modal Segmentation Network pdf

Su Ruan, Tongxue Zhou, Pierre Vera, 2021, Pattern Recognit..

Conditional generator and multi-sourcecorrelation guided brain tumor segmentation with missing MR modalities

Su Ruan, Tongxue Zhou, Pierre Vera, 2021 .

3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint

Su Ruan, Tongxue Zhou, Pierre Vera, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

FDG PET during radiochemotherapy is predictive of outcome at 1 year in non-small-cell lung cancer patients: a prospective multicentre study (RTEP2)

Pierre Vera, Bernard Dubray, Pierre Olivier, 2014, European Journal of Nuclear Medicine and Molecular Imaging.

Baseline Total Metabolic Tumor Volume Measured with Fixed or Different Adaptive Thresholding Methods Equally Predicts Outcome in Peripheral T Cell Lymphoma

Pierre Vera, Emmanuel Itti, Romain Modzelewski, 2017, The Journal of Nuclear Medicine.

Molecular Profile and FDG-PET/CT Total Metabolic Tumor Volume Improve Risk Classification at Diagnosis for Patients with Diffuse Large B-Cell Lymphoma

Pierre Vera, Sylvain Mareschal, Michel Meignan, 2015, Clinical Cancer Research.

Delineation of small mobile tumours with FDG-PET/CT in comparison to pathology in breast cancer patients.

Pierre Vera, Bernard Dubray, Isabelle Gardin, 2014, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Voxeldoes: a computer program for 3-D dose calculation in therapeutic nuclear medicine.

Pierre Vera, Isabelle Gardin, Ludovic Ferrer, 2003, Cancer biotherapy & radiopharmaceuticals.

Advantage of fan beam collimators for contrast recovery of hyperfixation in clinical SPECT

Bernard Bendriem, André Syrota, Pierre Vera, 1997 .

Serial assessment of FDG-PET FDG uptake and functional volume during radiotherapy (RT) in patients with non-small cell lung cancer (NSCLC).

Pierre Vera, Bernard Dubray, Isabelle Gardin, 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Pretreatment metabolic tumour volume is predictive of disease-free survival and overall survival in patients with oesophageal squamous cell carcinoma

Pierre Michel, Pierre Vera, Bernard Dubray, 2014, European Journal of Nuclear Medicine and Molecular Imaging.

Phase II Study of a Radiotherapy Total Dose Increase in Hypoxic Lesions Identified by 18F-Misonidazole PET/CT in Patients with Non–Small Cell Lung Carcinoma (RTEP5 Study)

Maximilien Vermandel, Pierre Vera, Bernard Dubray, 2017, The Journal of Nuclear Medicine.

Optimisation of the OS-EM algorithm and comparison with FBP for image reconstruction on a dual-head camera: a phantom and a clinical 18F-FDG study

Alain Manrique, Pierre Vera, Isabelle Gardin, 2003, European Journal of Nuclear Medicine and Molecular Imaging.

Simultaneous positron emission tomography (PET) assessment of metabolism with ¹⁸F-fluoro-2-deoxy-d-glucose (FDG), proliferation with ¹⁸F-fluoro-thymidine (FLT), and hypoxia with ¹⁸fluoro-misonidazole (F-miso) before and during radiotherapy in patients with non-small-cell lung cancer (NSCLC): a pilot

Luc Thiberville, Pierre Vera, Bernard Dubray, 2011, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Predictive value of initial FDG-PET features for treatment response and survival in esophageal cancer patients treated with chemo-radiation therapy using a random forest classifier

Su Ruan, Pierre Michel, Pierre Vera, 2017, PloS one.

Interim positron emission tomography scan associated with international prognostic index and germinal center B cell-like signature as prognostic index in diffuse large B-cell lymphoma

Philippe Bertrand, Pierre Vera, Sylvain Mareschal, 2012, Leukemia & lymphoma.

Monitoring tumour response during chemo-radiotherapy: a parametric method using FDG-PET/CT images in patients with oesophageal cancer

Irène Buvat, Pierre Michel, Pierre Vera, 2014, EJNMMI Research.