PUBLICATIONS
A comparative study of two automated solutions for cross-sectional skeletal muscle measurement from abdominal computed tomography images.
Medical Physics 50 (8): 4973-80
https://doi.org/10.1002/mp.16261
Charrière K, Boulouard Q, Artemova S, Vilotitch A, Ferretti GR, Bosson J-L, Moreau-Gaudry A, Giai J, Fontaine E, Bétry C (2023).
ODIASP: Clinically Contextualized Image Analysis Using the PREDIMED Clinical Data Warehouse, Towards a Better Diagnosis of Sarcopenia.
Studies in Health Technology and Informatics 290 (June):1068-690
https://doi.org/10.3233/SHTI220271
Charrière K, Madiot PE, Artemova S, Tep P, Lenne C, Cohard B, Caporossi A, Boudry I, Meyzenc J, Ferretti G, Bricault I, Giai J, Bosson JL, Fontaine E, Bétry C, Moreau-Gaudry A (2022).
Sarcopenia diagnosis: comparison of automated with manual computed tomography segmentation in clinical routine.
JCSM Rapid Communications 4 (2): 103-10
https://doi.org/10.1002/rco2.37
Caudron L, Bussy A, Artemova S, Charrière K, El Lakkiss S, Moreau-Gaudry A, Bosson JL, Ferretti GR, Fontaine E, Bétry C (2021).
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
ODIASP 2024