L'imagerie médicale: du 2D au 3D, les problèmes particuliers posés par la reconstruction tomographique en tomographie par émission de positons. - Yves Bizais; Frédéric Lamare; Alexandre Turzo; Dimitris Visvikis (Ann. des Télécommunications, 2003)

Synchronization of pulmonary scintigraphy by respiratory flow and by impedance plethysmography. - Olivier Guivarc'h; Alexandre Turzo; Dimitris Visvikis; Yves Bizais (Image Processing, 2004)

Fuzzy versus hard hidden Markov chains segmentation for volume determination and quantitation in noisy PET images. - Mathieu Hatt; Nicolas Boussion; Frédéric Lamare; Christophe Collet 001; Fabien Salzenstein; Christian Roux; Yves Bizais; Catherine Cheze Le Rest; Dimitris Visvikis (ISBI, 2006)

3d Fuzzy Adaptive Unsupervised Bayesian Segmentation for Volume Determination in Pet. - Mathieu Hatt; Christian Roux; Dimitris Visvikis (ISBI, 2007)

Conditional partial volume correction for emission tomography: A wavelet-based hidden Markov model and multi-resolution approach. - Adrien Le Pogam; Mathieu Hatt; Nicolas Boussion; Denis Guilloteau; Jean-Louis Baulieu; Caroline Prunier; Federico E. Turkheimer; Dimitris Visvikis (ISBI, 2008)

Contrast enhancement in emission tomography by way of synergistic PET/CT image combination. - Nicolas Boussion; Mathieu Hatt; Frédéric Lamare; Catherine Cheze Le Rest; Dimitris Visvikis (Comput. Methods Programs Biomed., 2008)

A 2D-Spline Patient Specific Model for Use in Radiation Therapy. - Hadi Fayad; Tinsu Pan; Christian Roux; Catherine Cheze Le Rest; Olivier Pradier; Dimitris Visvikis (ISBI, 2009)

Incorporation of Respiratory Motion Estimation within a Map Super-Resolution Algorithm for Image Enhancement in 4D PET. - Daphné Wallach; Frédéric Lamare; Christian Roux; Dimitris Visvikis (ISBI, 2009)

Functional and structural synergy for resolution recovery and partial volume correction in brain PET. - Miho Shidahara; Charalampos Tsoumpas; Alexander Hammers; Nicolas Boussion; Dimitris Visvikis; Tetsuya Suhara; Iwao Kanno; Federico E. Turkheimer (NeuroImage, 2009)

Incorporating Patient-Specific Variability in the Simulation of Realistic Whole-Body 18hboxF-FDG Distributions for Oncology Applications. - Amandine Le Maitre; William Paul Segars; Simon Marache; Anthonin Reilhac; Mathieu Hatt; Sandrine Tomeï; Carole Lartizien; Dimitris Visvikis (Proc. IEEE, 2009)

A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET. - Mathieu Hatt; Catherine Cheze Le Rest; Alexandre Turzo; Christian Roux; Dimitris Visvikis (IEEE Trans. Medical Imaging, 2009)

Image Change Detection Using Paradoxical Theory for Patient Follow-Up Quantitation and Therapy Assessment. - Simon David; Dimitris Visvikis; Gwenolé Quellec; Catherine Cheze Le Rest; Philippe Fernandez; Michèle Allard; Christian Roux; Mathieu Hatt (IEEE Trans. Medical Imaging, 2012)

Super-Resolution in Respiratory Synchronized Positron Emission Tomography. - Daphné Wallach; Frédéric Lamare; Giorgos Kontaxakis; Dimitris Visvikis (IEEE Trans. Medical Imaging, 2012)

Denoising of PET images by combining wavelets and curvelets for improved preservation of resolution and quantitation. - Adrien Le Pogam; H. Hanzouli; Mathieu Hatt; Catherine Cheze Le Rest; Dimitris Visvikis (Medical Image Anal., 2013)

Regarding "Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm" By DP. Onoma et al. - Mathieu Hatt; Dimitris Visvikis (Comput. Medical Imaging Graph., 2015)

Non-rigid MRI/CT registration for effective planning of prostate brachytherapy. - Iyas Hamdan; Guillaume Dardenne; Julien Bert; Dimitris Visvikis (EMBC, 2016)

Kinect2 - Respiratory movement detection study. - Sandy Rihana; Elie Younes; Dimitris Visvikis; Hadi Fayad (EMBC, 2016)

Reliability of PET/CT shape and heterogeneity features in functional and morphological components of Non-Small Cell Lung Cancer tumors: a repeatability analysis in a prospective multi-center cohort. - Marie-Charlotte Desseroit; Florent Tixier; Wolfgang Weber; Barry A. Siegel; Catherine Cheze Le Rest; Dimitris Visvikis; Mathieu Hatt (CoRR, 2016)

Pose optimization of a C-arm imaging device to reduce intraoperative radiation exposure of staff and patient during interventional procedures. - Nicolas Loy Rodas; Julien Bert; Dimitris Visvikis; Michel de Mathelin; Nicolas Padoy (ICRA, 2017)

MR-based respiratory and cardiac motion correction for PET imaging. - Thomas Kustner; Martin Schwartz; Petros Martirosian; Sergios Gatidis; Ferdinand Seith; Christopher Gilliam; Thierry Blu; Hadi Fayad; Dimitris Visvikis; Fritz Schick; Bin Yang 009; Holger Schmidt; et al. (Medical Image Anal., 2017)

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)

Multi-Scale Modeling and Oxygen Impact on Tumor Temporal Evolution: Application on Rectal Cancer During Radiotherapy. - Sena Apeke; Laurent Gaubert; Nicolas Boussion; Philippe Lambin; Dimitris Visvikis; Vincent Rodin; Pascal Redou (IEEE Trans. Medical Imaging, 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)

Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images. - Andrei Iantsen; Dimitris Visvikis; Mathieu Hatt (HECKTOR@MICCAI, 2020)

PET Reconstruction With Non-Negativity Constraint in Projection Space: Optimization Through Hypo-Convergence. - Alexandre Bousse; Matias Courdurier; Élise Émond; Kris Thielemans; Brian F. Hutton; Pablo Irarrazaval; Dimitris Visvikis (IEEE Trans. Medical Imaging, 2020)

Development of a 6 Degrees of Freedom Prostate Brachytherapy Robot with Integrated Gravity Compensation System. - Aziza Ben Halima; Julien Bert; Jean-François Clément; Dimitris Visvikis (ISMR, 2021)

Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. - Vincent Andrearczyk; Valentin Oreiller; Sarah Boughdad; Catherine Cheze Le Rest; Hesham Elhalawani; Mario Jreige; John O. Prior; Martin Vallières; Dimitris Visvikis; Mathieu Hatt; Adrien Depeursinge (HECKTOR@MICCAI, 2021)

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)

Design and Kinematics of a Comanipulated Robot Dedicated to Prostate Brachytherapy. - Mozert Djohossou; Aziza Ben Halima; Antoine Valérie; Julien Bert; Dimitris Visvikis (Robotica, 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)

Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation. - Amine Sadikine; Bogdan Badic; Jean-Pierre Tasu; Vincent Noblet; Dimitris Visvikis; Pierre-Henri Conze (ICIP, 2022)

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. - Vincent Andrearczyk; Valentin Oreiller; Moamen Abobakr; Azadeh Akhavanallaf; Panagiotis Balermpas; Sarah Boughdad; Leo Capriotti; Joël Castelli; Catherine Cheze Le Rest; Pierre Decazes; Ricardo Correia 006; Dina El-Habashy; et al. (HECKTOR@MICCAI, 2022)

Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver Metastases. - Mohammad Mohaiminul Islam; Bogdan Badic; Thomas Aparicio; David Tougeron; Jean-Pierre Tasu; Dimitris Visvikis; Pierre-Henri Conze (MICCAI (3), 2022)

Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT Reconstruction. - Alessandro Perelli; Suxer Alfonso Garcia; Alexandre Bousse; Jean-Pierre Tasu; Nikolaos Efthimiadis; Dimitris Visvikis (CoRR, 2022)

Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation. - Amine Sadikine; Bogdan Badic; Jean-Pierre Tasu; Vincent Noblet; Pascal Ballet; Dimitris Visvikis; Pierre-Henri Conze (ISBI, 2023)

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)

Predicting the Tumour Response to Radiation by Modelling the Five Rs of Radiotherapy Using PET Images. - Rihab Hami; Sena Apeke; Pascal Redou; Laurent Gaubert; Ludwig J. Dubois; Philippe Lambin; Dimitris Visvikis; Nicolas Boussion (J. Imaging, 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)

Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge. - Vincent Andrearczyk; Valentin Oreiller; Sarah Boughdad; Catherine Cheze Le Rest; Olena Tankyevych; Hesham Elhalawani; Mario Jreige; John O. Prior; Martin Vallières; Dimitris Visvikis; Mathieu Hatt; Adrien Depeursinge (Medical Image Anal., 2023)

Spectral CT Two-Step and One-Step Material Decomposition Using Diffusion Posterior Sampling. - Corentin Vazia; Alexandre Bousse; Jacques Froment; Béatrice Vedel; Franck Vermet; Zhihan Wang; Thore Dassow; Jean-Pierre Tasu; Dimitris Visvikis (EUSIPCO, 2024)

Learning Transferability in Deep Segmentation of Liver Metastases. - M. Abbas; Gustavo Andrade-Miranda; Vincent Bourbonne; Dimitris Visvikis; Bogdan Badic; Pierre-Henri Conze (ISBI, 2024)

Multi-Modal PET/CT Fusion for Automated PD-L1 Status Prediction in Lung Cancer. - Ronrick Da-Ano; Olena Tankyevych; Gustavo Andrade-Miranda; Pierre-Henri Conze; Catherine Cheze Le Rest; Dimitris Visvikis (ISBI, 2024)

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

Fast-Track of F-18 Positron Paths Simulations Using Gans. - Youness Mellak; Konstantinos Chatzipapas; Alexandre Bousse; Catherine Cheze Le Rest; Dimitris Visvikis; Julien Bert (ISBI, 2024)

Deep Vessel Segmentation with Joint Multi-Prior Encoding. - Amine Sadikine; Bogdan Badic; Enzo Ferrante; Vincent Noblet; Pascal Ballet; Dimitris Visvikis; Pierre-Henri Conze (ISBI, 2024)

Diffusion Posterior Sampling for Synergistic Reconstruction in Spectral Computed Tomography. - Corentin Vazia; Alexandre Bousse; Béatrice Vedel; Franck Vermet; Zhihan Wang; Thore Dassow; Jean-Pierre Tasu; Dimitris Visvikis; Jacques Froment (ISBI, 2024)

Optimal Prompting in SAM for Few-Shot and Weakly Supervised Medical Image Segmentation. - Lara Siblini; Gustavo Andrade-Miranda; Kamilia Taguelmimt; Dimitris Visvikis; Julien Bert (MedAGI@MICCAI, 2024)

Uncertainty-Aware Deep Learning Classification for MRI-Based Prostate Cancer Detection. - Kamilia Taguelmimt; Hong-Phuong Dang; Gustavo Andrade-Miranda; Dimitris Visvikis; Bernard Malavaud; Julien Bert (CaPTion@MICCAI, 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)

Exploring transformer reliability in clinically significant prostate cancer segmentation: A comprehensive in-depth investigation. - Gustavo Andrade-Miranda; Pedro Soto Vega; Kamilia Taguelmimt; Hong-Phuong Dang; Dimitris Visvikis; Julien Bert (Comput. Medical Imaging Graph., 2024)

Improving abdominal image segmentation with overcomplete shape priors. - Amine Sadikine; Bogdan Badic; Jean-Pierre Tasu; Vincent Noblet; Pascal Ballet; Dimitris Visvikis; Pierre-Henri Conze (Comput. Medical Imaging Graph., 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)

Multi-Branch Generative Models for Multichannel Imaging with an Application to PET/CT Joint Reconstruction. - Noel Jeffrey Pinton; Alexandre Bousse; Catherine Cheze Le Rest; 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)

Multicenter Radiomic Feature-Based Prediction of PD-L1 Status in Lung Cancer Using Multimodal PET/CT. - Ronrick Da-Ano; Olena Tankyevych; N. Lemée; I. Stamouli; G. Kagadis; T. Kalathas; K. Shi; J. Hu; H. Wang; Catherine Cheze Le Rest; Dimitris Visvikis (ISBI, 2025)

PI-RADS Inspired Architecture: A New Deep Learning Approach to Detect Clinically Significant Prostate Cancer on MRI. - Kamilia Taguelmimt; Hong-Phuong Dang; Gustavo Andrade-Miranda; Dimitris Visvikis; Bernard Malavaud; Julien Bert (ISBI, 2025)

Trustworthy AI for stage IV non-small cell lung cancer: Automatic segmentation and uncertainty quantification. - Sacha Dedeken; Pierre-Henri Conze; Vera Damerjian Pieters; Olivier Gallinato; Jérôme Faure; Thierry Colin; Dimitris Visvikis (Comput. Medical Imaging Graph., 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)