(2019). Fast and Scalable Optimal Transport for Brain Tractograms. Accepted at MICCAI2019.

(2019). Appariemment Difféomorphique Robuste de Faisceaux Neuronaux. GRETSI.

(2018). Fidelity metrics between curves and surfaces: currents, varifolds and normal cycles. Book chapter in Riemannian Geometric Statistics in Medical Image Analysis (Elsevier-MICCAI).

(2017). Surface Matching Using Normal Cycles. GSI’17.

Preprint PDF

(2017). Modèle de Cycles Normaux pour l'Analyse des Déformations. PhD manuscript.


(2016). Kernel metrics on normal cycles and application to curve matching. In SIAM J. Imaging Sciences.

Preprint PDF

(2015). Kernel Metrics on Normal Cycles and Application to Curve Matching. MFCA 2015 : 5th MICCAI workshop on Mathematical Foundations of Computational Anatomy.



Surface matching code with normal cycles as a data attachment term.


Ongoing work

under construction