Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
XML PDF e-pub
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Bibliography

Major publications by the team in recent years
[1]
S. Benzekry, C. Lamont, D. Barbolosi, L. Hlatky, P. Hahnfeldt.
Mathematical modeling of tumor-tumor distant interactions supports a systemic control of tumor growth, in: Cancer Research, 2017. [ DOI : 10.1158/0008-5472.CAN-17-0564 ]
https://hal.inria.fr/hal-01566947
[2]
S. Benzekry, C. Lamont, A. Beheshti, A. Tracz, J. M. Ebos, L. Haltky, P. Hahnfeldt.
Classical Mathematical Models for Description and Forecast of Experimental Tumor Growth, in: PLoS Computational Biology, August 2014, vol. 10, no 8, e1003800 p. [ DOI : 10.1371/journal.pcbi.1003800 ]
https://hal.inria.fr/hal-00922553
[3]
S. Benzekry, A. Tracz, M. Mastri, R. Corbelli, D. Barbolosi, J. M. Ebos.
Modeling Spontaneous Metastasis following Surgery: An In Vivo-In Silico Approach, in: Cancer Research, February 2016, vol. 76, no 3, pp. 535 - 547. [ DOI : 10.1158/0008-5472.CAN-15-1389 ]
https://hal.inria.fr/hal-01222046
[4]
D. Bresch, T. Colin, E. Grenier, B. Ribba, O. Saut.
Computational Modeling Of Solid Tumor Growth: The Avascular Stage, in: SIAM Journal on Scientific Computing, August 2010, vol. 32, no 4, pp. 2321–2344.
[5]
T. Colin, F. Cornelis, J. Jouganous, J. Palussière, O. Saut.
Patient specific simulation of tumor growth, response to the treatment and relapse of a lung metastasis: a clinical case, in: Journal of Computational Surgery, 2015, 18 p. [ DOI : 10.1186/s40244-014-0014-1 ]
https://hal.inria.fr/hal-01102586
[6]
O. Gallinato, C. Poignard.
Superconvergent second order Cartesian method for solving free boundary problem for invadopodia formation, in: Journal of Computational Physics, June 2017, vol. 339, pp. 412 - 431. [ DOI : 10.1016/j.jcp.2017.03.010 ]
https://hal.inria.fr/hal-01483484
[7]
D.-C. Imbs, R. El Cheikh, A. Boyer, J. Ciccolini, C. Mascaux, B. Lacarelle, F. Barlesi, D. Barbolosi, S. Benzekry.
Revisiting bevacizumab + cytotoxics scheduling using mathematical modeling: proof of concept study in experimental non-small cell lung carcinoma, in: CPT: Pharmacometrics and Systems Pharmacology, 2018, pp. 1-9. [ DOI : 10.1002/psp4.12265 ]
https://hal.inria.fr/hal-01624423
[8]
G. Lefebvre, F. Cornelis, P. Cumsille, T. Colin, C. Poignard, O. Saut.
Spatial modelling of tumour drug resistance: the case of GIST liver metastases Mathematical Medicine and Biology Advance, in: Mathematical Medicine and Biology, 2016, vol. 00, pp. 1 - 26. [ DOI : 10.1093/imammb/dqw002 ]
https://hal.inria.fr/hal-01380292
[9]
M. Leguebe, A. Silve, L. M. Mir, C. Poignard.
Conducting and permeable states of cell membrane submitted to high voltage pulses: Mathematical and numerical studies validated by the experiments, in: Journal of Theoretical Biology, November 2014, vol. 360, pp. 83-94. [ DOI : 10.1016/j.jtbi.2014.06.027 ]
https://hal.inria.fr/hal-01027477
[10]
F. Raman, E. Scribner, O. Saut, C. Wenger, T. Colin, H. M. Fathallah-Shaykh.
Computational Trials: Unraveling Motility Phenotypes, Progression Patterns, and Treatment Options for Glioblastoma Multiforme, in: PLoS ONE, January 2016, vol. 11, no 1. [ DOI : 10.1371/journal.pone.0146617 ]
https://hal.inria.fr/hal-01396271
Publications of the year

Articles in International Peer-Reviewed Journals

[11]
M. Bilous, C. Serdjebi, A. Boyer, P. Tomasini, C. Pouypoudat, D. Barbolosi, F. Barlesi, F. Chomy, S. Benzekry.
Quantitative mathematical modeling of clinical brain metastasis dynamics in non-small cell lung cancer, in: Scientific Reports, September 2019, vol. 9, no 1. [ DOI : 10.1038/s41598-019-49407-3 ]
https://hal.inria.fr/hal-01928442
[12]
V. Bonnaillie-Noël, C. Poignard, G. Vial.
Asymptotic expansions for the conductivity problem with nearly touching inclusions with corner, in: Annales Henri Lebesgue, 2019.
https://hal.archives-ouvertes.fr/hal-01766052
[13]
C. Bronnimann, A. Huchet, J. Benech-Faure, C. Dutriaux, O. Saut, E. Blais, O. Mollier, R. Trouette, V. Vendrely.
Interval between planning and frameless stereotactic radiotherapy for brain metastases: are our margins still accurate?, in: Neuro-Oncology Practice, October 2019. [ DOI : 10.1093/nop/npz048 ]
https://hal.inria.fr/hal-02406540
[14]
J. Ciccolini, D. Barbolosi, N. Andre, S. Benzekry, F. Barlesi.
Combinatorial immunotherapy strategies : most gods throw dice, but fate plays chess : Editorial, in: Annals of Oncology, September 2019. [ DOI : 10.1093/annonc/mdz297 ]
https://hal.inria.fr/hal-02383826
[15]
A. Collin, S. Imperiale, P. Moireau, J.-F. Gerbeau, D. Chapelle.
Apprehending the effects of mechanical deformations in cardiac electrophysiology - An homogenization approach, in: Mathematical Models and Methods in Applied Sciences, December 2019, vol. 29, no 13, pp. 2377-2417. [ DOI : 10.1142/S0218202519500490 ]
https://hal.inria.fr/hal-02267941
[16]
Y. Coudière, A. Davidović, C. Poignard.
Modified bidomain model with passive periodic heterogeneities, in: Discrete and Continuous Dynamical Systems - Series S, October 2019. [ DOI : 10.3934/dcdss.2020126 ]
https://hal.inria.fr/hal-02363470
[17]
A. Crombé, C. Perier, M. Kind, B. Denis De Senneville, F. Le Loarer, A. Italiano, X. Buy, O. Saut.
T2-based MRI Delta-Radiomics Improve Response Prediction in Soft-Tissue Sarcomas Treated by Neoadjuvant Chemotherapy, in: Journal of Magnetic Resonance Imaging, August 2019, vol. 50, no 2, pp. 497-510. [ DOI : 10.1002/jmri.26589 ]
https://hal.inria.fr/hal-01929807
[18]
A. Crombé, O. Saut, J. Guigui, A. Italiano, X. Buy, M. Kind.
Influence of Temporal Parameters of DCE-MRI on the Quantification of Heterogeneity in Tumor Vascularization, in: Journal of Magnetic Resonance Imaging, May 2019, vol. 50, no 6, pp. 1773-1788. [ DOI : 10.1002/jmri.26753 ]
https://hal.inria.fr/hal-02406497
[19]
B. Denis De Senneville, C. R. Cardiet, A. Trotier, E. Ribot, L. Lafitte, L. Facq, S. Miraux.
Optimizing 4D abdominal MRI: image denoising using an iterative back-projection approach, in: Physics in Medicine and Biology, November 2019, forthcoming. [ DOI : 10.1088/1361-6560/ab563e ]
https://hal.archives-ouvertes.fr/hal-02367839
[20]
B. Denis De Senneville, N. Frulio, L. Hervé, C. Salut, L. Lafitte, H. Trillaud.
Liver contrast-enhanced sonography: Computer-assisted differentiation between focal nodular hyperplasia and inflammatory hepatocellular adenoma by reference to microbubble transport patterns, in: European Radiology, December 2019.
https://hal.archives-ouvertes.fr/hal-02377657
[21]
M. Derieppe, J.-M. Escoffre, B. Denis De Senneville, Q. Van Houtum, A. Barten-Van Rijbroek, K. Van Der Wurff-Jacobs, L. Dubois, C. Bos, C. T. W. Moonen.
Assessment of Intratumoral Doxorubicin Penetration after Mild Hyperthermia-mediated Release from Thermosensitive Liposomes, in: Contrast Media and Molecular Imaging, June 2019. [ DOI : 10.1155/2019/2645928 ]
https://hal.archives-ouvertes.fr/hal-02377672
[22]
C. J. J. Ferrer, C. Bos, B. Denis De Senneville, P. T. S. Borman, B. Stemkens, R. H. N. Tijssen, C. T. W. Moonen, L. W. Bartels.
A planning strategy for combined self-scanned/gated MR- HIFU treatment in the pancreas, in: International Journal of Hyperthermia, June 2019.
https://hal.archives-ouvertes.fr/hal-02377682
[23]
O. Gallinato, B. Denis De Senneville, O. Seror, C. Poignard.
Numerical Workflow of Irreversible Electroporation for Deep-Seated Tumor, in: Physics in Medicine and Biology, March 2019, vol. 64, no 5, 055016 p. [ DOI : 10.1088/1361-6560/ab00c4 ]
https://hal.inria.fr/hal-02063020
[24]
J. Gilleron, T. Goudon, F. Lagoutière, H. Martin, B. Mauroy, P. Millet, M. Ribot, C. Vaghi.
Modeling and analysis of adipocytes dynamic with a differentiation process, in: ESAIM: Proceedings and Surveys, 2019, vol. 2019, pp. 1 - 10, forthcoming.
https://hal.inria.fr/hal-02073788
[25]
F. Guerreiro, C. Zachiu, E. Seravalli, R. Cassia Oraboni, G. Janssens, M. Ries, B. Denis De Senneville, J. H. Maduro, C. L. Brouwer, E. W. Korevaar, A. C. Knopf, B. W. Raaymakers.
Evaluating the benefit of PBS vs. VMAT dose distributions in terms of dosimetric sparing and robustness against inter-fraction anatomical changes for pediatric abdominal tumors, in: Radiotherapy and Oncology, September 2019. [ DOI : 10.1016/j.radonc.2019.06.025 ]
https://hal.archives-ouvertes.fr/hal-02387725
[26]
P. Mistani, A. Guittet, C. Poignard, F. Gibou.
A Parallel Voronoi-Based Approach for Mesoscale Simulations of Cell Aggregate Electropermeabilization, in: Journal of Computational Physics, January 2019, https://arxiv.org/abs/1802.01781 - 21 pages, 16 figures, submitted. [ DOI : 10.1016/j.jcp.2018.12.009 ]
https://hal.inria.fr/hal-01779598
[27]
J. P. M. Mochel, S. C. Ekker, C. Johannes, A. E. Jergens, K. Allenspach, A. Bourgois-Mochel, M. Knouse, S. Benzekry, W. Wierson, A. K. Leblanc, S. S. Kenderian.
CAR T-Cell Immunotherapy in Human and Veterinary Oncology: Changing the Odds Against Hematological Malignancies, in: AAPS Journal, May 2019, vol. 21, no 3. [ DOI : 10.1208/s12248-019-0322-1 ]
https://hal.inria.fr/hal-02099159
[28]
L. P. Munting, M. Derieppe, E. Suidgeest, B. Denis De Senneville, J. A. Wells, L. Van Der Weerd.
Influence of Different Isoflurane Anesthesia Protocols on Murine Cerebral Hemodynamics measured with pseudo-Continuous Arterial Spin Labeling, in: NMR in Biomedicine, June 2019. [ DOI : 10.1002/nbm.4105 ]
https://hal.archives-ouvertes.fr/hal-02377668
[29]
V. Ozenne, P. Bour, B. Denis De Senneville, S. Toupin, A. Vaussy, M. Lepetit-Coiffé, P. Jaïs, H. Cochet, B. Quesson.
Assessment of left ventricle MR temperature stability in patients in the presence of arrhythmias, in: NMR in Biomedicine, June 2019. [ DOI : 10.1002/nbm.4160 ]
https://hal.archives-ouvertes.fr/hal-02387723
[30]
D. Peri, M. Deville, C. Poignard, E. Signori, R. Natalini.
Numerical Optimization of Plasmid DNA Delivery Combined with Hyaluronidase Injection for Electroporation Protocol, in: Computer Methods and Programs in Biomedicine, November 2019, 105204 p. [ DOI : 10.1016/j.cmpb.2019.105204 ]
https://hal.inria.fr/hal-02366660
[31]
A. Rodallec, R. Fanciullino, S. Benzekry, J. Ciccolini.
Is There Any Room for Pharmacometrics With Immuno-Oncology Drugs? Input from the EORTC-PAMM Course on Preclinical and Early-phase Clinical Pharmacology, in: Anticancer Research, July 2019, vol. 39, no 7, pp. 3419-3422. [ DOI : 10.21873/anticanres.13486 ]
https://hal.inria.fr/hal-02383831
[32]
B. K. Schneider, A. Boyer, J. Ciccolini, F. Barlesi, K. Wang, S. Benzekry, J. P. M. Mochel.
Optimal Scheduling of Bevacizumab and Pemetrexed/cisplatin Dosing in Non‐Small Cell Lung Cancer, in: CPT: Pharmacometrics and Systems Pharmacology, April 2019. [ DOI : 10.1002/psp4.12415 ]
https://hal.inria.fr/hal-02109335
[33]
B. Taton, R. De La Faille, J. Asselineau, P. Perez, P. Merville, T. Colin, C. Combe, S. Sourbron, N. Grenier.
A prospective comparison of dynamic contrast-enhanced MRI and 51Cr-EDTA clearance for glomerular filtration rate measurement in 42 kidney transplant recipients, in: European Journal of Radiology, August 2019, vol. 117, pp. 209-215. [ DOI : 10.1016/j.ejrad.2019.02.002 ]
https://hal.inria.fr/hal-02416091
[34]
C. Zachiu, B. Denis De Senneville, B. W. Raaymakers, M. Ries.
Biomechanical quality assurance criteria for deformable image registration algorithms used in radiotherapy guidance, in: Physics in Medicine and Biology, June 2019. [ DOI : 10.1088/1361-6560/ab501d ]
https://hal.archives-ouvertes.fr/hal-02377664
[35]
C. Zhang, A. Collin, P. Moireau, A. Trouvé, M. Rochoux.
Front shape similarity measure for data-driven simulations of wildland fire spread based on state estimation: Application to the RxCADRE field-scale experiment, in: Proceedings of the Combustion Institute, 2019, vol. 37, no 3, pp. 4201-4209. [ DOI : 10.1016/j.proci.2018.07.112 ]
https://hal.inria.fr/hal-01969130

Invited Conferences

[36]
S. Benzekry.
Data-driven mechanistic modeling of metastasis: cancer at the organism scale, in: RITS conference (Recherche en Imagerie et Technologies pour la Sante) of the French Society of Biomedical Engineering (SFGBM), Tours, France, May 2019.
https://hal.inria.fr/hal-02424452
[37]
S. Benzekry.
Machine learning versus mechanistic modeling for prediction of metastatic relapse in breast cancer, in: 2019 CSBC-PSON Mathematical Oncology Meeting, Portland, United States, May 2019.
https://hal.inria.fr/hal-02424419
[38]
S. Benzekry.
Mechanistic modeling of metastasis: cancer at the organism scale, in: International Society of Pharmacometrics (ISoP) workshop, Paris, France, July 2019.
https://hal.inria.fr/hal-02424424
[39]
C. Vaghi.
Combining Population Modeling and Bayesian Inference for Tumor Growth Prediction, in: SMB 2019 annual meeting, Montreal, Canada, July 2019.
https://hal.archives-ouvertes.fr/hal-02424592

International Conferences with Proceedings

[40]
M. Frénéa-Robin, J. Cottet, J. Marchalot, C. Rivière, L. Franqueville, D. Voyer, C. Poignard, R. Scorretti, P. Renaud.
Development of microfluidic tools to fabricate multicellular constructs and analyze their electromagnetic properties, in: BioEM 2019, Montpellier, France, June 2019.
https://hal.archives-ouvertes.fr/hal-02123643
[41]
A. Gérard, A. Collin, G. Bureau, P. Moireau, Y. Coudière.
Model assessment through data assimilation of realistic data in cardiac electrophysiology, in: FIMH 2019 - 10th Functional Imaging and Modeling of the Heart, Bordeaux, France, June 2019.
https://hal.inria.fr/hal-02172102
[42]
J. Marchalot, M. Hanni, M. Frénéa-Robin, L. Franqueville, D. Voyer, C. Poignard, R. Scorretti, C. Rivière.
A novel approach for parallel electroporation of spheroids entrapped in hydrogels, in: 3rd World Congress on Electroporation, Toulouse, France, September 2019.
https://hal.archives-ouvertes.fr/hal-02377586
[43]
D. Voyer, S. Corridore, A. Collin, R. Scorretti, C. Poignard.
Numerical modeling of floating potentials in electrokinetic problems, in: Compumag 2019, Paris, France, July 2019.
https://hal.archives-ouvertes.fr/hal-02189453

Conferences without Proceedings

[44]
B. Denis De Senneville, N. Frulio, H. Laumonier, C. Salut, L. Lafitte, H. Trillaud.
Hepatic tumor diagnosis by analysing dense transport fields in contrast-enhanced ultrasound, in: ISBI19 - 16th IEEE International Symposium on Biomedical Imaging, Venise, Italy, April 2019.
https://hal.archives-ouvertes.fr/hal-02377660

Scientific Books (or Scientific Book chapters)

[45]
O. Saut, T. Colin, A. Collin, T. Kritter, V. Pianet, C. Poignard, B. Taton.
Evaluating growth and risk of relapse of intracranial tumors, in: Computational Systems Biology Approaches in Cancer Research, CRC Press, September 2019.
https://hal.inria.fr/hal-02406709
[46]
C. Vaghi, A. Rodallec, R. Fanciullino, J. Ciccolini, J. P. M. Mochel, M. Mastri, J. M. Ebos, C. Poignard, S. Benzekry.
Population Modeling of Tumor Growth Curves, the Reduced Gompertz Model and Prediction of the Age of a Tumor, in: Mathematical and Computational Oncology, November 2019, pp. 87-97. [ DOI : 10.1007/978-3-030-35210-3_7 ]
https://hal.archives-ouvertes.fr/hal-02383995

Other Publications

[47]
A. Collin, C. Copol, V. Pianet, T. Colin, J. Engelhardt, G. Kantor, H. Loiseau, O. Saut, B. Taton.
Spatial mechanistic modeling for prediction of the growth of asymptomatic meningioma, December 2019, working paper or preprint.
https://hal.inria.fr/hal-02397720
[48]
M. Costa, C. Etchegaray, S. Mirrahimi.
Survival criterion for a population subject to selection and mutations ; Application to temporally piecewise constant environments, May 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02126707
[49]
A. Cucchi, C. Etchegaray, N. Meunier, L. Navoret, L. Sabbagh.
Cell migration in complex environments: chemotaxis and topographical obstacles, December 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02126709
[50]
G. Jankowiak, C. Taing, C. Poignard, A. Collin.
Comparison and calibration of different electroporation models - Application to rabbit livers experiments, December 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02076894
[51]
C. Vaghi, A. Rodallec, R. Fanciullino, J. Ciccolini, J. P. M. Mochel, M. Mastri, J. M. Ebos, C. Poignard, S. Benzekry.
Population modeling of tumor growth curves, the reduced Gompertz model and prediction of the age of a tumor, June 2019, PAGE 2019 Twenty-eighth meeting, Poster.
https://hal.archives-ouvertes.fr/hal-02424578
[52]
C. Vaghi, A. Rodallec, R. Fanciullino, J. Ciccolini, J. P. M. Mochel, M. Mastri, C. Poignard, J. M. Ebos, S. Benzekry.
A reduced Gompertz model for predicting tumor age using a population approach, June 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02165901