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Thomas Carlier
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2020 – today
- 2023
- [c4]Aswathi Aswathi, Mira Rizkallah, Gauthier Frecon, Clément Bailly, Caroline Bodet-Milin, Olivier Casasnovas, Steven Le Gouill, Françoise Kraeber-Bodéré, Thomas Carlier, Diana Mateus:
Lesion Graph Neural Networks for 2-Year Progression Free Survival Classification of Diffuse Large B-Cell Lymphoma Patients. ISBI 2023: 1-5 - [c3]Oriane Thiery, Mira Rizkallah, Clément Bailly, Caroline Bodet-Milin, Emmanuel Itti, René-Olivier Casasnovas, Steven Le Gouill, Thomas Carlier, Diana Mateus:
Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET Images. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 103-112 - [i1]Oriane Thiery, Mira Rizkallah, Clément Bailly, Caroline Bodet-Milin, Emmanuel Itti, René-Olivier Casasnovas, Steven Le Gouill, Thomas Carlier, Diana Mateus:
Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images. CoRR abs/2310.16863 (2023) - 2021
- [c2]Hernan Carrillo, Maël Millardet, Thomas Carlier, Diana Mateus:
Low-count PET image reconstruction with Bayesian inference over a Deep Prior. Medical Imaging: Image Processing 2021 - 2020
- [j2]Ludivine Morvan, Thomas Carlier, Bastien Jamet, Clément Bailly, Caroline Bodet-Milin, Philippe Moreau, Françoise Kraeber-Bodéré, Diana Mateus:
Leveraging RSF and PET images for prognosis of multiple myeloma at diagnosis. Int. J. Comput. Assist. Radiol. Surg. 15(1): 129-139 (2020) - [j1]Maël Millardet, Saïd Moussaoui, Diana Mateus, Jérôme Idier, Thomas Carlier:
Local-Mean Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to 90Y-PET. IEEE Trans. Medical Imaging 39(11): 3725-3736 (2020) - [c1]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:
Learned Deep Radiomics for Survival Analysis with Attention. PRIME@MICCAI 2020: 35-45
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