Recherche
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SYSTEM IDENTIFICATION IN TUMOR GROWTH MODELING USING SEMI-EMPIRICAL EIGENFUNCTIONS
(Mathematical Models and Methods in Applied Sciences. vol. 22, n° 6, 2012)Article de revue -
Evaluating growth and risk of relapse of intracranial tumors
(CRC Press, 2019-09)Chapitre d'ouvrage -
Precision of manual two-dimensional segmentations of lung and liver metastases and its impact on tumour response assessment using RECIST 1.1
(European Radiology Experimental. vol. 1, n° 1, 2017-12)Article de revue -
Tumor growth model of ductal carcinoma: from in situ phase to stroma invasion
(Journal of Theoretical Biology. vol. 429, pp. 253 - 266, 2017-09)Article de revue -
Spatial modelling of tumour drug resistance: the case of GIST liver metastases Mathematical Medicine and Biology Advance
(Mathematical Medicine and Biology. vol. 00, pp. 1 - 26, 2016)Article de revue -
Spatial Modeling of Tumor Drug Resistance: the case of GIST Liver Metastases
(Mathematical Medicine and Biology. pp. 26, 2014-12-01)Article de revue -
Computational Modelling of Metastasis Development in Renal Cell Carcinoma
(PLoS Computational Biology. vol. 11, n° 11, 2015-11)Article de revue -
Migration and orientation of endothelial cells on micropatterned polymers: A simple model based on classical mechanics
(Discrete and Continuous Dynamical Systems - Series B. vol. 20, n° 4, 2015-06)Article de revue -
Computational Trials: Unraveling Motility Phenotypes, Progression Patterns, and Treatment Options for Glioblastoma Multiforme
(PLoS ONE. vol. 11, n° 1, 2016-01-12)Article de revue -
TMOD−03 * Motility controls growth and progression patterns of glioblastoma multiforme
(Neuro-Oncology, 2015-11-01)Article de revue