output
19962026
most citedGATE : a simulation toolkit for PET and SPECT

2.2k citations

Showing 2020Show all

111 papers · 1 filter

physics.med-ph2020★ 142 cited

Stress shielding at the bone-implant interface: influence of surface roughness and of the bone-implant contact ratio

Maria Letizia Raffa, Vu-Hieu Nguyen, Philippe Hernigou +2

Short and long-term stabilities of cementless implants are strongly determined by the interfacial load transfer between implants and bone tissue. Stress-shielding effects arise fro…

q-bio.QM2020

A downsampling strategy to assess the predictive value of radiomic features

AS Dirand, F Frouin, I Buvat

Many studies are devoted to the design of radiomic models for a prediction task. When no effective model is found, it is often difficult to know whether the radiomic features do no…

physics.med-ph2020★ 18 cited

18F-FDG-PET dissemination features in diffuse large B cell lymphoma are predictive of outcome

Anne-Ségolène Cottereau, Christophe Nioche, Anne-Sophie Dirand +5

We assessed the predictive value of new radiomic features characterizing the lesion dissemination in baseline 18F-FDG PET and tested whether combining them with baseline metabolic…

eess.IV2020★ 1 cited

Local-mean preserving post-processing step for non-negativity enforcement in PET imaging: application to Y-PET

Maël Millardet, Saïd Moussaoui, Diana Mateus +2

In a low-statistics PET imaging context, the positive bias in regions of low activity is a burning issue. To overcome this problem, algorithms without the built-in non-negativity c…

q-bio.MN2020★ 5 cited

The basal level of gene expression associated with chromatin loosening shapes Waddington landscapes and controls cell differentiation

Gilles Flouriot, Charly Jehanno, Yann Le Page +3

The baseline level of transcription, which is variable and difficult to quantify, seriously complicates the normalization of comparative transcriptomic data, but its biological imp…

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…