E-LIB Suche - Ergebnisse für: Pigneur, B

1

Determinants of parenteral nutrition (PN) weaning in a pedi..:

De Dreuille, B. ; Mohamed, A. ; Pigneur, B....
Clinical Nutrition ESPEN. 58 (2023) - p. 430 , 2023

Link: https://doi.org/10.1016/..

2

P291 Long term outcomes of children with ulcerative colitis..:

Pigneur, B ; Cochet, M ; Delphine, L...
Journal of Crohn's and Colitis. 17 (2023) Supplement_1 - p. i436-i436 , 2023

Link: https://doi.org/10.1093/..

3

Contributors:

, In: Rivers of Europe,

Aamodt, Knut Ola ; Agnija, Skuja ; Agrita, Briede... - p. xi-xv , 2022

Link: https://doi.org/10.1016/..

4

OP15 Cyclic exclusive enteral nutrition to maintain longter..:

Pigneur Arnaud, B ; Martinez-Vinson, C ; Bourmaud, A...
Journal of Crohn's and Colitis. 15 (2021) Supplement_1 - p. S015-S015 , 2021

Link: https://doi.org/10.1093/..

5

Vascularites à IgA associées aux maladies inflammatoires ch..:

Rasmussen, C. ; Abitbol, V. ; El Karoui, K....
La Revue de Médecine Interne. 41 (2020) - p. A24-A25 , 2020

Link: https://doi.org/10.1016/..

6

Abdominal musculature segmentation and surface prediction f..:

Blanc-Durand, P. ; Schiratti, J.-B. ; Schutte, K....
Diagnostic and Interventional Imaging. 101 (2020) 12 - p. 789-794 , 2020

Link: https://doi.org/10.1016/..

7

Three artificial intelligence data challenges based on CT a..:

Lassau, N. ; Bousaid, I. ; Chouzenoux, E....
Diagnostic and Interventional Imaging. 101 (2020) 12 - p. 783-788 , 2020

Link: https://doi.org/10.1016/..

8

La sarcopénie est sous-diagnostiquée chez les patients atte..:

Raynard, B. ; Pigneur, F. ; Simon, H....
Nutrition Clinique et Métabolisme. 33 (2019) 1 - p. 9 , 2019

Link: https://doi.org/10.1016/..

9

Intérêt des outils cliniques pour prédire la sarcopénie che..:

Raynard, B. ; Pigneur, F. ; Di Palma, M...
Nutrition Clinique et Métabolisme. 33 (2019) 1 - p. 10 , 2019

Link: https://doi.org/10.1016/..

10

Five simultaneous artificial intelligence data challenges o..:

Lassau, N ; Estienne, T ; de Vomecourt, P...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.diii.2019.02.001. , 2019

Link: https://hal.science/hal-..

11

Five simultaneous artificial intelligence data challenges o..:

Lassau, N ; Estienne, T ; de Vomecourt, P...
10.1016/j.diii.2019.02.001. , 2019

Link: https://hdl.handle.net/2..

12

Five simultaneous artificial intelligence data challenges o..:

Lassau, N ; Estienne, T ; de Vomecourt, P...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.diii.2019.02.001. , 2019

Link: https://hal.science/hal-..

13

Five simultaneous artificial intelligence data challenges o..:

Lassau, N ; Estienne, T ; de Vomecourt, P...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.diii.2019.02.001. , 2019

Link: https://hal.science/hal-..

14

Five simultaneous artificial intelligence data challenges o..:

Lassau, N ; Estienne, T ; de Vomecourt, P...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.diii.2019.02.001. , 2019

Link: https://hal.science/hal-..

15

Five simultaneous artificial intelligence data challenges o..:

Lassau, N ; Estienne, T ; de Vomecourt, P...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.diii.2019.02.001. , 2019

Link: https://hal.archives-ouv..