Improving Depth, Energy and Timing Estimation in PET Detectors with Deconvolution and Maximum Likelihood Pulse Shape Discrimination. - Eric Berg; Emilie Roncali; Will Hutchcroft; Jinyi Qi; Simon R. Cherry (IEEE Trans. Medical Imaging, 2016)

Estimation of Yttrium-90 Distribution in Liver Radioembolization using Computational Fluid Dynamics and Deep Neural Networks. - Amirtahà Taebi; Catherine T. Vu; Emilie Roncali (EMBC, 2020)

The SNR of Positron Emission Data With Gaussian and Non-Gaussian Time-of-Flight Kernels, With Application to Prompt Photon Coincidence. - Johan Nuyts; Michel Defrise; Stefan Gundacker; Emilie Roncali; Paul Lecoq (IEEE Trans. Medical Imaging, 2023)

A generative adversarial network to speed up optical Monte Carlo simulations. - Carlotta Trigila; Anirudh Srikanth; Emilie Roncali (Mach. Learn. Sci. Technol., 2023)

Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (AI Summit 2024). - Arman Rahmim; Tyler J. Bradshaw; Guido Davidzon; Joyita Dutta; Georges El Fakhri; Munir Ghesani; Nicolas A. Karakatsanis; Quanzheng Li; Chi Liu; Emilie Roncali; Babak Saboury; Tahir Yusufaly; et al. (CoRR, 2024)