Mame Diarra Fall

According to our database, Mame Diarra Fall authored at least 8 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling.

Elhadji C. Faye, Mame Diarra Fall, Nicolas Dobigeon

CoRR, 2024

Quantifying Uncertainty in Knee Osteoarthritis Diagnosis.

Mame Diarra Fall

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Proportion Inference Using Deep Neural Networks. Applications to X-Ray Diffraction and Hyperspectral Imaging.

Titouan Simonnet, Mame Diarra Fall, Bruno Galerne, Francis Claret, Sylvain Grangeon

Proceedings of the 31st European Signal Processing Conference, 2023

2022

A Bayesian Estimation Formulation to Voxel-Based Lesion-Symptom Mapping.

Mame Diarra Fall, Nicolas Dobigeon, Pascal Auzou

Proceedings of the 30th European Signal Processing Conference, 2022

2018

Voxel-Based Lesion-Symptom Mapping: A Nonparametric Bayesian Approach.

Mame Diarra Fall, Emilie Lavau, Pascal Auzou

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2013

Dynamic and clinical PET data reconstruction: A nonparametric Bayesian approach.

Mame Diarra Fall, Eric Barat, Claude Comtat, Thomas Dautremer, Thierry Montagu, Simon Stute

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Modélisation stochastique de processus pharmaco-cinétiques, application à la reconstruction tomographique par émission de positrons (TEP) spatio-temporelle. (Stochastic modeling of pharmaco-kinetic processes, applied to PET space-time reconstruction).

Mame Diarra Fall

PhD thesis, 2012

2011

A discrete-continuous Bayesian model for Emission Tomography.

Mame Diarra Fall, Eric Barat, Claude Comtat, Thomas Dautremer, Thierry Montagu, Ali Mohammad-Djafari

Proceedings of the 18th IEEE International Conference on Image Processing, 2011