Spatiotemporal PET Reconstruction Using ML-EM with Learned Diffeomorphic Deformation. - Ozan Öktem; Camille Pouchol; Olivier Verdier (MLMIR@MICCAI, 2019)

The ML-EM algorithm in continuum: sparse measure solutions. - Camille Pouchol; Olivier Verdier (CoRR, 2019)

Combination of Direct Methods and Homotopy in Numerical Optimal Control: Application to the Optimization of Chemotherapy in Cancer. - Antoine Olivier; Camille Pouchol (J. Optim. Theory Appl., 2019)

Energy and implicit discretization of the Fokker-Planck and Keller-Segel type equations. - Luís Almeida 003; Federica Bubba; Benoît Perthame; Camille Pouchol (Networks Heterog. Media, 2019)

ML-EM algorithm with known continuous movement model. - Camille Pouchol; Olivier Verdier (CoRR, 2020)

SEAIR Framework Accounting for a Personalized Risk Prediction Score: Application to the Covid-19 Epidemic. - Olivier Boulant; Mathilde Fekom; Camille Pouchol; Theodoros Evgeniou; Anton Ovchinnikov; Raphaël Porcher; Nicolas Vayatis (Image Process. Line, 2020)

Statistical Model and ML-EM Algorithm for Emission Tomography with Known Movement. - Camille Pouchol; Olivier Verdier (J. Math. Imaging Vis., 2021)

Regularisation for the approximation of functions by mollified discretisation methods. - Camille Pouchol; Marc Hoffmann (CoRR, 2024)

Regularization for the Approximation of Functions by Mollified Discretization Methods. - Marc Hoffmann; Camille Pouchol (SIAM/ASA J. Uncertain. Quantification, 2025)