LEGAL NOTICES
Last updated: 02/10/2024
This website, accessible at the URL https://odiasp.timc.fr/, is published by the University Hospital Grenoble-Alpes, located at Av. des Maquis du Grésivaudan, 38700 La Tronche.
It is hosted by the TIMC(Université Grenoble Alpes) laboratory, Rond point de la Croix de Vie, 38700 La Tronche.
The site publication manager is Mr. Antoine Ragusa, and the data processing manager is Mr. Simon Pervier.
The ODIASP team can be reached at : odiasp@chu-grenoble.fr
Terms of Use
ODIASP is a software tool dedicated to research that does not involve human subjects and must not be used for clinical care. ODIASP is a registered trademark. Access to the software does not grant the right to use the ODIASP name beyond referring to its use in the context of GNU GPLv3 license distribution.
If you use ODIASP, please cite the following publications:
ODIASP: An Open User-Friendly Software for Automated SMI Determination—Application to an Inpatient Population.
medRxiv
https://doi.org/10.1101/2024.10.25.24316094
K. Charrière, A. Ragusa, B. Genoux, A. Vilotitch, S. Artemova, P.A. Beaudoin, P.E. Madiot, G. Ferretti, I. Bricault, J.L. Bosson, E. Fontaine, A. Moreau-Gaudry, J. Giai, C. Bétry
ODIASP integrates open-source code elements. Please cite these as well:
Population-Scale CT-Based Body Composition Analysis Of a Large Outpatient Population Using Deep Learning To Derive Age, Sex, and Race-Specific Reference Curves.
Radiology 298 (2): 319-29

https://doi.org/10.1148/radiol.2020201640

GitHub: CT Body Composition
K. Magudia, C.P. Bridge, C.P. Bay, A. Babic, F.J. Fintelmann, F. Troschel, N. Miskin, W. Wrobel, L.K. Brais, K.P. Andriole, B.M. Wolpin, M.H. Rosenthal
Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks.
In , 11041:204-13
https://doi.org/10.1007/978-3-030-01201-4_22
GitHub: CT Body Composition
C.P. Bridge, M. Rosenthal, B. Wright, G. Kotecha, F. Fintelmann, F. Troschel, N. Miskin, K. Desai, W. Wrobel, A. Babic, N. Khalaf, L. Brais, M. Welch, C. Zellers, N. Tenenholtz, M. Michalski, B. Wolpin, K. Andriole
Automated body composition analysis of clinically acquired computed tomography scans using neural networks.
Clinical Nutrition 39 (10): 3049-55
https://doi.org/10.1016/j.clnu.2020.01.008
M.T. Paris, P. Tandon, D.K. Heyland, H. Furberg, T. Premji, G. Low, M. Mourtzakis