V. Jaouen

发表

Localization of brachyterapy seeds in TRUS images using rigid priors and medial forces

Julien Bert, Dimitris Visvikis, Vincent Jaouen, 2019 .

Radiomics in PET/CT: Current Status and Future AI-Based Evolutions.

M. Hatt, F. Tixier, D. Visvikis, 2020, Seminars in nuclear medicine.

Tumour functional sphericity from PET images: prognostic value in NSCLC and impact of delineation method

Dimitris Visvikis, Vincent Jaouen, Mathieu Hatt, 2018, European Journal of Nuclear Medicine and Molecular Imaging.

DGVF segmentation of vector-valued images

D. Guilloteau, V. Jaouen, C. Tauber, 2018 .

Development and prospective validation of a spatial dose pattern based model predicting acute pulmonary toxicity in patients treated with volumetric arc-therapy for locally advanced lung cancer.

D. Visvikis, J. Bert, V. Jaouen, 2021, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Use of radiomics in the radiation oncology setting: Where do we stand and what do we need?

M. Hatt, F. Tixier, D. Visvikis, 2020, Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique.

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning pdf

Marc Modat, Yuankai Huo, Ingerid Reinertsen, 2021, ArXiv.

DGVF-based filtering of vector-valued images

I. Buvat, D. Guilloteau, V. Jaouen, 2019 .

Radiomics Analysis of 3D Dose Distributions to Predict Toxicity of Radiotherapy for Cervical Cancer

M. Hatt, F. Tixier, D. Visvikis, 2020, Journal of personalized medicine.

VMAT-Based Planning Allows Sparing of a Spatial Dose Pattern Associated with Radiation Pneumonitis in Patients Treated with Radiotherapy for a Locally Advanced Lung Cancer

D. Visvikis, J. Bert, V. Jaouen, 2022, Cancers.

Combination of Radiomics Features and Functional Radiosensitivity Enhances Prediction of Acute Pulmonary Toxicity in a Prospective Validation Cohort of Patients with a Locally Advanced Lung Cancer Treated with VMAT-Radiotherapy

D. Visvikis, V. Jaouen, O. Pradier, 2022, Journal of personalized medicine.

Image Enhancement With PDEs and Nonconservative Advection Flow Fields

Julien Bert, Dimitris Visvikis, Vincent Jaouen, 2019, IEEE Transactions on Image Processing.

4DGVF : segmentation variationnelle pour images 3D multicomposantes

Irène Buvat, Denis Guilloteau, Clovis Tauber, 2014, Traitement du Signal.

4DGVF segmentation of vector-valued images

Irène Buvat, Denis Guilloteau, Clovis Tauber, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

4DGVF-based filtering of vector-valued images

Irène Buvat, Denis Guilloteau, Clovis Tauber, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Variational Segmentation of Vector-Valued Images With Gradient Vector Flow

Irène Buvat, Denis Guilloteau, Clovis Tauber, 2014, IEEE Transactions on Image Processing.

4-D Gradient Vector Flow : segmentation par surface active pour images multi-composantes

Denis Guilloteau, Clovis Tauber, Vincent Jaouen, 2013 .

Vector-based active surfaces for segmentation of dynamic PET images

Irène Buvat, Denis Guilloteau, Clovis Tauber, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Standardization of Multicentric Image Datasets with Generative Adversarial Networks

Dimitris Visvikis, Vincent Jaouen, Florent Tixier, 2019 .

Development of a Radiomic-Based Model Predicting Lymph Node Involvement in Prostate Cancer Patients

M. Hatt, D. Visvikis, A. Valéri, 2021, Cancers.

Radiomics analysis of 3D dose distributions to predict toxicity of radiotherapy for lung cancer.

M. Hatt, D. Visvikis, J. Bert, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Evaluation of conventional and deep learning based image harmonization methods in radiomics studies

F. Tixier, O. Gallinato, V. Jaouen, 2021, Physics in medicine and biology.

The first MICCAI challenge on PET tumor segmentation

Christian Barillot, Tristan Glatard, Witold Dyrka, 2018, Medical Image Anal..

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning

Albert C. S. Chung, Adrian V. Dalca, Tony C. W. Mok, 2021, IEEE Transactions on Medical Imaging.

Prostate Volume Segmentation in TRUS Using Hybrid Edge-Bhattacharyya Active Surfaces

Julien Bert, Konstantinos A. Mountris, Dimitris Visvikis, 2019, IEEE Transactions on Biomedical Engineering.

Dosimetric Validation of a GAN-Based Pseudo-CT Generation for MRI-Only Stereotactic Brain Radiotherapy

D. Visvikis, J. Bert, N. Boussion, 2021, Cancers.

Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications

Dimitris Visvikis, Vincent Jaouen, Mathieu Hatt, 2019, European Journal of Nuclear Medicine and Molecular Imaging.

Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study

M. Hatt, D. Visvikis, B. Magnin, 2021, European Radiology.

Current and Emerging Trends in Medical Image Segmentation With Deep Learning

Vivek Kumar Singh, D. Visvikis, V. Jaouen, 2023, IEEE Transactions on Radiation and Plasma Medical Sciences.

Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting

M. Hatt, D. Visvikis, R. Hustinx, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Cross-modal tumor segmentation using generative blending augmentation and self training

D. Visvikis, J. Bert, N. Boussion, 2023, IEEE transactions on bio-medical engineering.

A Review on Personalized Pediatric Dosimetry Applications Using Advanced Computational Tools

George Loudos, Panagiotis Papadimitroulas, George C. Kagadis, 2019, IEEE Transactions on Radiation and Plasma Medical Sciences.

Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology

V. Jaouen, C. Cheze Le Rest, Pierre-Henri Conze, 2023, Comput. Medical Imaging Graph..

Squeeze-and-Excitation Normalization for Brain Tumor Segmentation

M. Hatt, D. Visvikis, V. Jaouen, 2020, BrainLes@MICCAI.