61 citations · 95 across the 2 of their papers we have counts for
3 papers
eess.IV2021★ 61 cited
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
Development of robust and accurate fully automated methods for medical image segmentation is crucial in clinical practice and radiomics studies. In this work, we contributed an aut…
physics.med-ph2020★ 34 cited
DUG-RECON: A Framework for Direct Image Reconstruction using Convolutional Generative Networks
V. S. S. Kandarpa, Alexandre Bousse, Didier Benoit +1
This paper explores convolutional generative networks as an alternative to iterative reconstruction algorithms in medical image reconstruction. The task of medical image reconstruc…
physics.med-ph2004
GATE : a simulation toolkit for PET and SPECT
S. Jan, G. Santin, D. Strul +50
Monte Carlo simulation is an essential tool in emission tomography that can assist in the design of new medical imaging devices, the optimization of acquisition protocols, and the…