Vector-based active surfaces for segmentation of dynamic PET images. - Vincent Jaouen; Paulo González; Simon Stute; Denis Guilloteau; Irène Buvat; Clovis Tauber (ISBI, 2013)

4DGVF segmentation of vector-valued images. - Vincent Jaouen; Paulo González; Sylvie Chalon; Denis Guilloteau; Irène Buvat; Clovis Tauber (ICIP, 2014)

4DGVF-based filtering of vector-valued images. - Vincent Jaouen; Paulo González; Denis Guilloteau; Irène Buvat; Clovis Tauber (ICIP, 2014)

4DGVF : segmentation variationnelle pour images 3D multicomposantes. - Vincent Jaouen; Paulo González; Simon Stute; Denis Guilloteau; Sylvie Chalon; Irène Buvat; Clovis Tauber (Traitement du Signal, 2014)

Variational Segmentation of Vector-Valued Images With Gradient Vector Flow. - Vincent Jaouen; Paulo González; Simon Stute; Denis Guilloteau; Sylvie Chalon; Irène Buvat; Clovis Tauber (IEEE Trans. Image Process., 2014)

Image Filtering with Advectors. - Vincent Jaouen; Laurent Gaubert; Julien Bert; Mathieu Hatt; Dimitris Visvikis (ICIP, 2018)

The first MICCAI challenge on PET tumor segmentation. - Mathieu Hatt; Baptiste Laurent; Anouar Ouahabi; Hadi Fayad; Shan Tan; Laquan Li; Wei Lu 025; Vincent Jaouen; Clovis Tauber; Jakub Czakon; Filip Drapejkowski; Witold Dyrka; et al. (Medical Image Anal., 2018)

Encoder-Decoder Network for Brain Tumor Segmentation on Multi-sequence MRI. - Andrei Iantsen; Vincent Jaouen; Dimitris Visvikis; Mathieu Hatt (BrainLes@MICCAI (2), 2019)

Prostate Volume Segmentation in TRUS Using Hybrid Edge-Bhattacharyya Active Surfaces. - Vincent Jaouen; Julien Bert; Konstantinos A. Mountris; Nicolas Boussion; Ulrike Schick; Olivier Pradier; Antoine Valeri; Dimitris Visvikis (IEEE Trans. Biomed. Eng., 2019)

Image Enhancement With PDEs and Nonconservative Advection Flow Fields. - Vincent Jaouen; Julien Bert; Nicolas Boussion; Hadi Fayad; Mathieu Hatt; Dimitris Visvikis (IEEE Trans. Image Process., 2019)

Squeeze-and-Excitation Normalization for Brain Tumor Segmentation. - Andrei Iantsen; Vincent Jaouen; Dimitris Visvikis; Mathieu Hatt (BrainLes@MICCAI (2), 2020)

Regularized directional representations for medical image registration. - Vincent Jaouen; Pierre-Henri Conze; Guillaume Dardenne; Julien Bert; Dimitris Visvikis (CoRR, 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

Pure Versus Hybrid Transformers For Multi-Modal Brain Tumor Segmentation: A Comparative Study. - Gustavo Andrade-Miranda; Vincent Jaouen; Vincent Bourbonne; François Lucia; Dimitris Visvikis; Pierre-Henri Conze (ICIP, 2022)

Cross-modal tumor segmentation using generative blending augmentation and self training. - Guillaume Sallé; Pierre-Henri Conze; Julien Bert; Nicolas Boussion; Dimitris Visvikis; Vincent Jaouen (CoRR, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology. - Gustavo Andrade-Miranda; Vincent Jaouen; Olena Tankyevych; Catherine Cheze Le Rest; Dimitris Visvikis; Pierre-Henri Conze (Comput. Medical Imaging Graph., 2023)

One-Sided Unsupervised Medical Image Synthesis with Normalized Edge Consistency. - Vincent Jaouen; Pierre-Henri Conze; Dimitris Visvikis (ISBI, 2024)

Contrastive image adaptation for acquisition shift reduction in medical imaging. - Clément Hognon; Pierre-Henri Conze; Vincent Bourbonne; Olivier Gallinato; Thierry Colin; Vincent Jaouen; Dimitris Visvikis (Artif. Intell. Medicine, 2024)

CT respiratory motion synthesis using joint supervised and adversarial learning. - Yi-Heng Cao; Vincent Bourbonne; François Lucia; Ulrike Schick; Julien Bert; Vincent Jaouen; Dimitris Visvikis (CoRR, 2024)

Advancing Treatment Response Assessment of Hepatic Metastases Using AI-Driven Volumetric Analysis. - M. Abbas; Gustavo Andrade-Miranda; Vincent Bourbonne; Vincent Jaouen; J. Bert; T. Aparicio; Dimitris Visvikis; Bogdan Badic; Pierre-Henri Conze (ISBI, 2025)

Instance-Aware Deep Learning for Liver Metastasis Segmentation. - M. Abbas; Gustavo Andrade-Miranda; Vincent Jaouen; Vincent Bourbonne; J. Bert; Dimitris Visvikis; Bogdan Badic; Pierre-Henri Conze (ISBI, 2025)

Exploring learning transferability in deep segmentation of colorectal cancer liver metastases. - Marwan Abbas; Bogdan Badic; Gustavo Andrade-Miranda; Vincent Bourbonne; Vincent Jaouen; Dimitris Visvikis; Pierre-Henri Conze (Comput. Biol. Medicine, 2025)

Cross-Modal Tumor Segmentation Using Generative Blending Augmentation and Self-Training. - Guillaume Sallé; Gustavo Andrade-Miranda; Pierre-Henri Conze; Nicolas Boussion; Julien Bert; Dimitris Visvikis; Vincent Jaouen (IEEE Trans. Biomed. Eng., 2025)

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. - Navodini Wijethilake; Reuben Dorent; Marina Ivory; Aaron Kujawa; Stefan Cornelissen; Patrick Langenhuizen; Mohamed Okasha; Anna Oviedova; Hexin Dong; Bogyeong Kang; Guillaume Sallé; Luyi Han; et al. (CoRR, 2025)