| Asymptotic analysis and optimal control of an integro-differential system modelling healthy and cancer cells exposed to chemotherapy C Pouchol, J Clairambault, A Lorz, E Trélat Journal de Mathématiques Pures et Appliquées 116, 268-308, 2018 | 87 | 2018 |
| Energy and implicit discretization of the Fokker-Planck and Keller-Segel type equations LN De Almeida, F Bubba, B Perthame, C Pouchol arXiv preprint arXiv:1803.10629, 2018 | 47 | 2018 |
| Hele–shaw limit for a system of two reaction-(cross-) diffusion equations for living tissues F Bubba, B Perthame, C Pouchol, M Schmidtchen Archive for Rational Mechanics and Analysis 236 (2), 735-766, 2020 | 42 | 2020 |
| Phase portrait control for 1D monostable and bistable reaction–diffusion equations C Pouchol, E Trélat, E Zuazua Nonlinearity 32 (3), 884, 2019 | 33 | 2019 |
| A chemotaxis-based explanation of spheroid formation in 3D cultures of breast cancer cells F Bubba, C Pouchol, N Ferrand, G Vidal, L Almeida, B Perthame, ... Journal of theoretical biology 479, 73-80, 2019 | 30 | 2019 |
| Asymptotic analysis of selection-mutation models in the presence of multiple fitness peaks T Lorenzi, C Pouchol Nonlinearity 33 (11), 5791, 2020 | 27 | 2020 |
| Global stability with selection in integro-differential Lotka-Volterra systems modelling trait-structured populations C Pouchol, E Trélat Journal of Biological Dynamics 12 (1), 872-893, 2018 | 27 | 2018 |
| Combination of direct methods and homotopy in numerical optimal control: application to the optimization of chemotherapy in cancer A Olivier, C Pouchol Journal of Optimization Theory and Applications 181 (2), 479-503, 2019 | 21 | 2019 |
| A survey of adaptive cell population dynamics models of emergence of drug resistance in cancer, and open questions about evolution and cancer J Clairambault, C Pouchol Biomath 8 (1), 23, 2019 | 17 | 2019 |
| Pandemic lockdown, isolation, and exit policies based on machine learning predictions T Evgeniou, M Fekom, A Ovchinnikov, R Porcher, C Pouchol, N Vayatis Production and operations management 32 (5), 1307-1322, 2023 | 12 | 2023 |
| Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation O Öktem, C Pouchol, O Verdier Machine Learning for Medical Image Reconstruction: Second International …, 2019 | 10 | 2019 |
| The ML–EM algorithm in continuum: sparse measure solutions C Pouchol, O Verdier Inverse Problems 36 (3), 035013, 2020 | 9 | 2020 |
| Why is evolution important in cancer and what mathematics should be used to treat cancer? Focus on drug resistance L Almeida, RH Chisholm, J Clairambault, T Lorenzi, A Lorz, C Pouchol, ... Trends in Biomathematics: Modeling, Optimization and Computational Problems …, 2018 | 8 | 2018 |
| Monostability and bistability of biological switches J Guilberteau, C Pouchol, N Pouradier Duteil Journal of Mathematical Biology 83 (6), 65, 2021 | 6 | 2021 |
| SEAIR Framework Accounting for a Personalized Risk Prediction Score: Application to the Covid-19 Epidemic O Boulant, M Fekom, C Pouchol, T Evgeniou, A Ovchinnikov, R Porcher, ... Image Processing On Line 10, 150-166, 2020 | 6 | 2020 |
| On the stability of the state 1 in the non-local Fisher–KPP equation in bounded domains C Pouchol Comptes Rendus. Mathématique 356 (6), 644-647, 2018 | 6 | 2018 |
| Long-time behaviour of an advection-selection equation J Guilberteau, C Pouchol, NP Duteil arXiv preprint arXiv:2301.02470, 2023 | 5 | 2023 |
| Modelling interactions between tumour cells and supporting adipocytes in breast cancer C Pouchol UPMC, 2015 | 5 | 2015 |
| An integrative phenotype-structured partial differential equation model for the population dynamics of epithelial-mesenchymal transition J Guilberteau, P Jain, MK Jolly, NP Duteil, C Pouchol arXiv preprint arXiv:2309.09569, 2023 | 4 | 2023 |
| Linear inverse problems with nonnegativity constraints: Singularity of optimisers C Pouchol, O Verdier Inverse Problems and Imaging 18 (1), 138-164, 2024 | 3* | 2024 |