Typical CIDP, distal variant CIDP, and anti-MAG antibody neuropathy: An ultra-high frequency ultrasound comparison of nerve structure

Autor: Angela Puma, Nicolae Grecu, Raluca Ș. Badea, Adeline Morisot, Roxana Zugravu, Mihai B. Ioncea, Michele Cavalli, Oana Lăcătuș, Andra Ezaru, Chorfa Hacina, Luisa Villa, Charles Raffaelli, Nicolas Azulay, Sabrina Sacconi

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)

Abstract To date, little is known about the usefulness of ultra-high frequency ultrasound (UHF-US, 50–70 MHz) in clinical practice for the diagnosis of dysimmune neuropathies. We present a prospective study aimed at comparing UHF-US alterations of

Externí odkaz: https://doaj.org/article/14d23869b6c5464db9538beec8614e2a

Perirenal fat thickness measured with computed tomography is a reliable estimate of perirenal fat mass.

Autor: Guillaume Favre, Caroline Grangeon-Chapon, Charles Raffaelli, Florence François-Chalmin, Antonio Iannelli, Vincent Esnault

Publikováno v: PLoS ONE, Vol 12, Iss 4, p e0175561 (2017)

Deposition of perirenal adipose tissue has been associated with adverse renal and cardiovascular events. We compared various methods to measure perirenal adipose tissue using computerized tomography (CT)-scan and performed correlations with anthropom

Externí odkaz: https://doaj.org/article/6cf57fc25aa3472cb3595a879e3f4be8

Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks

Autor: Zihao, Wang, Clair, Vandersteen, Thomas, Demarcy, Dan, Gnansia, Charles, Raffaelli, Nicolas, Guevara, Herve, Delingette

Metal Artifacts creates often difficulties for a high quality visual assessment of post-operative imaging in {c}omputed {t}omography (CT). A vast body of methods have been proposed to tackle this issue, but {these} methods were designed for regular C

Externí odkaz: http://arxiv.org/abs/2104.12510

Typical CIDP, distal variant CIDP, and anti-MAG antibody neuropathy – an ultra-high frequency ultrasound comparison of nerve structure

Autor: Angela Puma, Nicolae Grecu, Raluca Ș. Badea, Adeline Morisot, Roxana Zugravu, Mihai B. Ioncea, Michele Cavalli, Oana Lăcătuș, Andra Ezaru, Chorfa Hacina, Luisa Villa, Charles Raffaelli, Nicolas Azulay, Sabrina Sacconi

To date, little is known about the usefulness of ultra-high frequency ultrasound (UHF-US, 50–70 MHz) in clinical practice for the diagnosis of dysimmune neuropathies. We present a prospective study aimed at comparing UHF-US alterations of nerves an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3199720dbde727add2f561e091dd5717
https://doi.org/10.21203/rs.3.rs-2901695/v1

One-shot Learning Landmarks Detection

Autor: Clair Vandersteen, François Patou, Zihao Wang, Hervé Delingette, Nicolas Guevara, Charles Raffaelli

Publikováno v: Lecture Notes in Computer Science
The MICCAI workshop on Data Augmentation, Labeling, and Imperfections
The MICCAI workshop on Data Augmentation, Labeling, and Imperfections, Oct 2021, strasbourg, France. pp.163-172
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections ISBN: 9783030882099
DGM4MICCAI/DALI@MICCAI
MICCAI 2021-Workshop on Data Augmentation, Labeling, and Imperfections
MICCAI 2021-Workshop on Data Augmentation, Labeling, and Imperfections, Oct 2021, strasbourg, France. pp.163-172, ⟨10.1007/978-3-030-88210-5_15⟩

International audience; Landmark detection in medical images is important for many clinical applications. Learning-based landmark detection is successful at solving some problems but it usually requires a large number of annotated datasets for the tr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::671c3080c3df40ead51c0d5a80b70165
https://hal.inria.fr/hal-03024759