F. Bensalma

Multimodal data analysis of knee osteoarthritis assessment: factors selection for conservative care decision making

N. Hagemeister, N. Mezghani, Alix Cagnin, 2022, Computer methods in biomechanics and biomedical engineering.

A Combined Visualization Method for Multivariate Data Analysis. Application to Knee Kinematic and Clinical Parameters Relationships

N. Hagemeister, N. Mezghani, Y. Ouakrim, 2020, Applied Sciences.

On the probability of exceeding a given river flow threshold

M. Lefebvre, F. Bensalma, 2016 .

Biomechanical markers associations with pain, symptoms, and disability compared to radiographic severity in knee osteoarthritis patients: a secondary analysis from a cluster randomized controlled trial

N. Hagemeister, N. Mezghani, Y. Ouakrim, 2022, BMC Musculoskeletal Disorders.

On the distribution of a river flow at the time of the next increase

M. Lefebvre, F. Bensalma, 2015 .

Modeling and forecasting river flows by means of filtered Poisson processes

M. Lefebvre, F. Bensalma, 2015 .

Integrating isolated and riparian wetland modules in the PHYSITEL/HYDROTEL modelling platform: model performance and diagnosis

A. Royer, A. Rousseau, S. Savary, 2015 .

A multivariate relationship between the kinematic and clinical parameters of knee osteoarthritis population

Youssef Ouakrim, Neila Mezghani, Nicola Hagemeister, 2019, BioMedical Engineering OnLine.

Graphical-based multivariate analysis for knee joint clinical and kinematic data correlation assessment

Youssef Ouakrim, Michael Dunbar, Neila Mezghani, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).