Thomas Carlier

According to our database, Thomas Carlier authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

PET-based lesion graphs meet clinical data: An interpretable cross-attention framework for DLBCL treatment response prediction.

Oriane Thiery, Mira Rizkallah, Clément Bailly, Caroline Bodet-Milin, Emmanuel Itti, René-Olivier Casasnovas, Steven Le Gouill, Thomas Carlier, Diana Mateus

Comput. Medical Imaging Graph., 2025

2024

Residual Neural Networks for the Prediction of the Regularization Parameters in PET Reconstruction.

Younes Moussaoui, Diana Mateus, Saïd Moussaoui, Thomas Carlier, Simon Stute

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET Images.

Oriane Thiery, Mira Rizkallah, Clément Bailly, Caroline Bodet-Milin, Emmanuel Itti, René-Olivier Casasnovas, Steven Le Gouill, Thomas Carlier, Diana Mateus

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Lesion Graph Neural Networks for 2-Year Progression Free Survival Classification of Diffuse Large B-Cell Lymphoma Patients.

Aswathi Aswathi, Mira Rizkallah, Gauthier Frecon, Clément Bailly, Caroline Bodet-Milin, Olivier Casasnovas, Steven Le Gouill, Françoise Kraeber-Bodéré, Thomas Carlier, Diana Mateus

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

2021

Low-count PET image reconstruction with Bayesian inference over a Deep Prior.

Hernan Carrillo, Maël Millardet, Thomas Carlier, Diana Mateus

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020

Local-Mean Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to ⁹⁰Y-PET.

Maël Millardet, Saïd Moussaoui, Diana Mateus, Jérôme Idier, Thomas Carlier

IEEE Trans. Medical Imaging, 2020

Leveraging RSF and PET images for prognosis of multiple myeloma at diagnosis.

Ludivine Morvan, Thomas Carlier, Bastien Jamet, Clément Bailly, Caroline Bodet-Milin, Philippe Moreau, Françoise Kraeber-Bodéré, Diana Mateus

Int. J. Comput. Assist. Radiol. Surg., 2020

Learned Deep Radiomics for Survival Analysis with Attention.

Ludivine Morvan, Cristina Nanni, Anne-Victoire Michaud, Bastien Jamet, Clément Bailly, Caroline Bodet-Milin, Stephane Chauvie, Cyrille Touzeau, Philippe Moreau, Elena Zamagni, Françoise Kraeber-Bodéré, Thomas Carlier, Diana Mateus

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020