1 citations · 1 across the 3 of their papers we have counts for
3 papers
Implicit neural representations for end-to-end PET reconstruction
Younès Moussaoui, Diana Mateus, Nasrin Taheri +3
Implicit neural representations (INRs) have demonstrated strong capabilities in various medical imaging tasks, such as denoising, registration, and segmentation, by representing im…
Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images
Oriane Thiery, Mira Rizkallah, Clément Bailly +6
Diffuse Large B-cell Lymphoma (DLBCL) is a lymphatic cancer involving one or more lymph nodes and extranodal sites. Its diagnostic and follow-up rely on Positron Emission Tomograph…
Reconstruction multiclasse pour l'imagerie TEP 3-photons
Mehdi Latif, Jérôme Idier, Thomas Carlier +1
This contribution addresses the problem of image reconstruction of radioactivity distribution for which the available information arises from several classes of data, each associat…