Dimitris Visvikis

According to our database, Dimitris Visvikis authored at least 59 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

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

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

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

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 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

Proceedings of the Foundation Models for General Medical AI, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Deep Vessel Segmentation with Joint Multi-Prior Encoding.

Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

One-Sided Unsupervised Medical Image Synthesis with Normalized Edge Consistency.

Vincent Jaouen, Pierre-Henri Conze, Dimitris Visvikis

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Learning Transferability in Deep Segmentation of Liver Metastases.

M. Abbas, Gustavo Andrade-Miranda, Vincent Bourbonne, Dimitris Visvikis, Bogdan Badic, Pierre-Henri Conze

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

Proceedings of the 32nd European Signal Processing Conference, 2024

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., December, 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., December, 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, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

IEEE Trans. Medical Imaging, March, 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

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

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 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

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

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

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

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

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, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

CoRR, 2021

Regularized directional representations for medical image registration.

Vincent Jaouen, Pierre-Henri Conze, Guillaume Dardenne, Julien Bert, Dimitris Visvikis

CoRR, 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

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

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

Proceedings of the International Symposium on Medical Robotics, 2021

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

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

Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020

Squeeze-and-Excitation Normalization for Brain Tumor Segmentation.

Andrei Iantsen, Vincent Jaouen, Dimitris Visvikis, Mathieu Hatt

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

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

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

Encoder-Decoder Network for Brain Tumor Segmentation on Multi-sequence MRI.

Andrei Iantsen, Vincent Jaouen, Dimitris Visvikis, Mathieu Hatt

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

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

The first MICCAI challenge on PET tumor segmentation.

Mathieu Hatt, Baptiste Laurent, Anouar Ouahabi, Hadi Fayad, Shan Tan, Laquan Li, Wei Lu, Vincent Jaouen, Clovis Tauber, Jakub Czakon, Filip Drapejkowski, Witold Dyrka, Sorina Camarasu-Pop, Frédéric Cervenansky, Pascal Girard, Tristan Glatard, Michaël Kain, Yao Yao, Christian Barillot, Assen Kirov, Dimitris Visvikis

Medical Image Anal., 2018

Image Filtering with Advectors.

Vincent Jaouen, Laurent Gaubert, Julien Bert, Mathieu Hatt, Dimitris Visvikis

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

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, Holger Schmidt, Nina F. Schwenzer

Medical Image Anal., 2017

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

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

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

Kinect2 - Respiratory movement detection study.

Sandy Rihana, Elie Younes, Dimitris Visvikis, Hadi Fayad

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Non-rigid MRI/CT registration for effective planning of prostate brachytherapy.

Iyas Hamdan, Guillaume Dardenne, Julien Bert, Dimitris Visvikis

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

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

2013

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

2012

Super-Resolution in Respiratory Synchronized Positron Emission Tomography.

Daphné Wallach, Frédéric Lamare, Giorgos Kontaxakis, Dimitris Visvikis

IEEE Trans. Medical Imaging, 2012

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

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

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

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

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

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

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

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

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

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

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007

3d Fuzzy Adaptive Unsupervised Bayesian Segmentation for Volume Determination in Pet.

Mathieu Hatt, Christian Roux, Dimitris Visvikis

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006

Fuzzy versus hard hidden Markov chains segmentation for volume determination and quantitation in noisy PET images.

Mathieu Hatt, Nicolas Boussion, Frédéric Lamare, Christophe Collet, Fabien Salzenstein, Christian Roux, Yves Bizais, Catherine Cheze Le Rest, Dimitris Visvikis

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2004

Synchronization of pulmonary scintigraphy by respiratory flow and by impedance plethysmography.

Olivier Guivarc'h, Alexandre Turzo, Dimitris Visvikis, Yves Bizais

Proceedings of the Medical Imaging 2004: Image Processing, 2004

2003

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