Journal Articles

P. Sahoo, Y. Xin, D. Abler, D. Maestrini, V. Adhikarla, D. Frankhouser, H. Cho,
V. Machuca, D. Wang, M. Barish, M. Gutova, S. Branciamore, C. E. Brown, R. C. Rockne
Mathematical Deconvolution of CAR T-Cell Proliferation and Exhaustion from Real-Time Killing Assay Data.
In: Journal of The Royal Society Interface 17, no. 162 (01/2020): 10.1098/rsif.2019.0734.

M. Kingsmore, A. Vaccari, D. Abler, S. X. Cui, F. H. Epstein, R. C. Rockne, S. T. Acton, J. M. Munson
MRI Analysis to Map Interstitial Flow in the Brain Tumor Microenvironment.
In: APL Bioengineering 2.3 (09/2018), p. 031905. doi: 10.1063/1.5023503.

Conference Proceedings

D. Abler, P. Büchler, R. C. Rockne
Towards Model-Based Characterization of Biomechanical Tumor Growth Phenotypes.
In: International Symposium on Mathematical and Computational Oncology. Lecture Notes in Computer Science. Ed. by G. Bebis, T. Benos, K. Chen, K. Jahn, E. Lima. Cham: Springer International Publishing, 2019, Vol. 11826, pp. 75-86. doi: 10.1007/978-3-030-35210-3_6.

D. Abler, R. C. Rockne, P. Büchler
Evaluating the Effect of Tissue Anisotropy on Brain Tumor Growth Using a Mechanically Coupled Reaction–Diffusion Model.
In: New Developments on Computational Methods and Imaging in Biomechanics and Biomedical Engineering. Ed. by J. M. R. S. Tavares and P. R. Fernandes, 33:37–48. Cham: Springer International Publishing, 2019. doi: 10.1007/978-3-030-23073-9_3.

D. Abler, P. Büchler
Evaluation of a Mechanically Coupled Reaction–Diffusion Model for Macroscopic Brain Tumor Growth.
In: Computer Methods in Biomechanics and Biomedical Engineering: Proceedings of the 14th International Symposium CMBBE, Tel Aviv, Israel, 2016. Ed. by A. Gefen and D. Weihs. Cham: Springer International Publishing, 2018, pp. 57–64. doi: 10.1007/978-3-319-59764-5_7.

Conference Abstracts

D. Abler, R. Rockne, P. Büchler.
Characterizing Biomechanical Tumor Growth. Poster at the Congress of the European Society of Biomechanics, July 2019, Vienna, AT.
Abstract available here.

D. Abler, P. Büchler, R. Rockne.
Characterizing Biomechanical Tumor Growth. Poster at the CSBC-PSON Mathematical Oncology Meeting, May 2019, Portland, OR, USA.
Abstract available here.

D. Abler, P. Büchler, R. Rockne.
TMOD-15. Reliability of Imaging-Based Measures of Tumor ‘Mass-Effect’ — Evidence from a Computational Study.
In: Neuro-Oncology 20.suppl 6 (2018) p. vi271. doi:10.1093/neuonc/noy148.1127.
Poster at the 2018 Annual Meeting of the Society for Neuro-Oncology (SNO), New Orleans, LA, USA.

D. Abler, P. Sahoo, K. Kingsmore, J. Munson, P. Büchler, R. Rockne.
TMIC-19. Using Quantitative MR Imaging to relate GBM Mass Effect to Perfusion and Diffusion Characteristics of the Tumor Micro-Environment.
In: Neuro-Oncology 20.suppl 6 (2018) p. vi260. doi:10.1093/neuonc/noy148.1078.
Poster at the 2018 Annual Meeting of the Society for Neuro-Oncology (SNO), New Orleans, LA, USA.

D. Abler, R. Rockne, P. Büchler.
Image-based Parameter Optimization of a mechanically-coupled Brain Tumor Growth Model. Poster at the 8th Congress of Biomechanics (WCB 2018), Dublin, IE.

D. Abler, R. Rockne, P. Büchler.
Simulating Brain Tumour Mass-Effect (in FENICS). Presentation at FEniCS’18, Oxford, UK.
Abstract in online program (Session 6: Adjoints & PDE constrained optimization, Simulating Brain Tumor Mass-Effect).

D. Abler, R. Rockne, P. Büchler.
Evaluating the Effect of Tissue Anisotropy in Brain Tumor Growth using a mechanically-coupled Reaction-Diffusion Model. Presentation at 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE), Lisbon, PT.
Abstract and manuscript.

D. Abler, R. Rockne, P. Büchler.
TMIC-09. Towards a framework for predictive mathematical modeling of the biomechanical forces causing brain tumor mass-effect.
In: Neuro-Oncology 19.suppl 6 (2017).
Poster at the 2017 Annual Meeting of the Society for Neuro-Oncology (SNO), San Francisco, CA, USA, p. vi245. doi: 10.1093/neuonc/nox168.999.

Software

GlimSLib: A library for development of PDE-based spatial tumor growth models. See the GitHub repository for details.