User profiles for "author:Julien Frandon"
 | Julien FrandonCHU nimes, France Verified email at chu-nimes.fr Cited by 1743 |
[HTML][HTML] Systematic review and meta-analysis on the impact of lung cancer screening by low-dose computed tomography
Introduction Lung cancer (LC) has the highest cancer mortality worldwide with poor
prognosis. Screening with low-dose computed tomography (LDCT) in populations highly …
prognosis. Screening with low-dose computed tomography (LDCT) in populations highly …
Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study
J Greffier, A Hamard, F Pereira, C Barrau, H Pasquier… - European …, 2020 - Springer
Objectives To assess the impact on image quality and dose reduction of a new deep
learning image reconstruction (DLIR) algorithm compared with a hybrid iterative …
learning image reconstruction (DLIR) algorithm compared with a hybrid iterative …
[HTML][HTML] Comparison of two deep learning image reconstruction algorithms in chest CT images: a task-based image quality assessment on phantom data
Purpose The purpose of this study was to compare the effect of two deep learning image
reconstruction (DLR) algorithms in chest computed tomography (CT) with different clinical …
reconstruction (DLR) algorithms in chest computed tomography (CT) with different clinical …
[HTML][HTML] Early management of severe abdominal trauma
P Bouzat, G Valdenaire, T Gauss, J Charbit… - … Critical Care & Pain …, 2020 - Elsevier
Abstract Objective To develop French guidelines on the management of patients with severe
abdominal trauma. Design A consensus committee of 20 experts from the French Society of …
abdominal trauma. Design A consensus committee of 20 experts from the French Society of …
Effect of prophylactic embolization on patients with blunt trauma at high risk of splenectomy: a randomized clinical trial
Importance Splenic arterial embolization (SAE) improves the rate of spleen rescue, yet the
advantage of prophylactic SAE (pSAE) compared with surveillance and then embolization …
advantage of prophylactic SAE (pSAE) compared with surveillance and then embolization …
Comparison of two versions of a deep learning image reconstruction algorithm on CT image quality and dose reduction: A phantom study
Purpose To compare the impact on CT image quality and dose reduction of two versions of a
Deep Learning Image Reconstruction algorithm. Material and methods Acquisitions on the …
Deep Learning Image Reconstruction algorithm. Material and methods Acquisitions on the …
[HTML][HTML] Prostatic artery embolisation versus medical treatment in patients with benign prostatic hyperplasia (PARTEM): a randomised, multicentre, open-label, phase …
Background Prostatic artery embolisation (PAE) is a minimally invasive treatment of
symptomatic benign prostatic hyperplasia (BPH). Our aim was to compare patient's …
symptomatic benign prostatic hyperplasia (BPH). Our aim was to compare patient's …
Impact of an artificial intelligence deep‐learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study
Background Recently, computed tomography (CT) manufacturers have developed deep‐
learning‐based reconstruction algorithms to compensate for the limitations of iterative …
learning‐based reconstruction algorithms to compensate for the limitations of iterative …
[HTML][HTML] Contribution of an artificial intelligence deep-learning reconstruction algorithm for dose optimization in lumbar spine CT examination: A phantom study
J Greffier, J Frandon, Q Durand, T Kammoun… - Diagnostic and …, 2023 - Elsevier
Purpose The purpose of this study was to assess the impact of the new artificial intelligence
deep-learning reconstruction (AI-DLR) algorithm on image quality and radiation dose …
deep-learning reconstruction (AI-DLR) algorithm on image quality and radiation dose …
Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study
Objectives To assess the impact of a new artificial intelligence deep-learning reconstruction
(Precise Image; AI-DLR) algorithm on image quality against a hybrid iterative reconstruction …
(Precise Image; AI-DLR) algorithm on image quality against a hybrid iterative reconstruction …