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Kolokotroni, Eleni; Abler, Daniel; Ghosh, Alokendra; Tzamali, Eleftheria; Grogan, James; Georgiadi, Eleni; Büchler, Philippe; Radhakrishnan, Ravi; Byrne, Helen; Sakkalis, Vangelis; Nikiforaki, Katerina; Karatzanis, Ioannis; McFarlane, Nigel J B; Kaba, Djibril; Dong, Feng; Bohle, Rainer M; Meese, Eckart; Graf, Norbert; Stamatakos, Georgios (2024). A Multidisciplinary Hyper-Modeling Scheme in Personalized In Silico Oncology: Coupling Cell Kinetics with Metabolism, Signaling Networks, and Biomechanics as Plug-In Component Models of a Cancer Digital Twin. Journal of personalized medicine, 14(5) MDPI 10.3390/jpm14050475
Gökgöl, Can; Ueki, Yasushi; Abler, Daniel; Diehm, Nicolas; Engelberger, Rolf P.; Otsuka, Tatsuhiko; Räber, Lorenz; Büchler, Philippe (2021). Towards a better understanding of the posttreatment hemodynamic behaviors in femoropopliteal arteries through personalized computational models based on OCT images. Scientific Reports, 11(1), p. 16633. Nature Publishing Group 10.1038/s41598-021-96030-2
Sahoo, Prativa; Yang, Xin; Abler, Daniel; Maestrini, Davide; Adhikarla, Vikram; Frankhouser, David; Cho, Heyrim; Machuca, Vanessa; Wang, Dongrui; Barish, Michael; Gutova, Margarita; Branciamore, Sergio; Brown, Christine E.; Rockne, Russell C. (2020). Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data. Journal of The Royal Society Interface, 17(162), p. 20190734. The Royal Society 10.1098/rsif.2019.0734
Jarrett, Angela M.; Hormuth, David A.; Adhikarla, Vikram; Sahoo, Prativa; Abler, Daniel; Tumyan, Lusine; Schmolze, Daniel; Mortimer, Joanne; Rockne, Russell C.; Yankeelov, Thomas E. (2020). Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer. Scientific reports, 10(1), p. 20518. Springer Nature 10.1038/s41598-020-77397-0
Truffer, Oskar; Abler, Daniel; Pajic, Bojan; Grabner, Günther; Kraker, Hannes; Büchler, Philippe (2019). Optimization of surgical parameters based on patient-specific models: Application to arcuate keratotomy. Journal of cataract and refractive surgery, 45(8), pp. 1084-1091. Elsevier 10.1016/j.jcrs.2019.02.022
Abler, Daniel; Berger, Steve; Terrier, Alexandre; Becce, Fabio; Farron, Alain; Büchler, Philippe (2018). A statistical shape model to predict the premorbid glenoid cavity. Journal of shoulder and elbow surgery, 27(10), pp. 1800-1808. Elsevier 10.1016/j.jse.2018.04.023
Kingsmore, Kathryn M.; Vaccari, Andrea; Abler, Daniel; Cui, Sophia X.; Epstein, Frederick H.; Rockne, Russell C.; Acton, Scott T.; Munson, Jennifer M. (2018). MRI analysis to map interstitial flow in the brain tumor microenvironment. APL bioengineering, 2(3), 031905. AIP Publishing 10.1063/1.5023503
Brusa, Tobia; Abler, Daniel; Tutuian, Radu; Gingert, C; Heverhagen, Johannes; Adamina, M; Brügger, Lukas; Büchler, Philippe (2018). Anatomy and mechanical properties of the anal sphincter muscles in healthy senior volunteers. Neurogastroenterology and motility, 30(8) Wiley 10.1111/nmo.13335
Maestrini, Davide; Abler, Daniel; Adhikarla, Vikram; Armenian, Saro; Branciamore, Sergio; Carlesso, Nadia; Kuo, Ya-Huei; Marcucci, Guido; Sahoo, Prativa; Rockne, Russell C. (2018). Aging in a Relativistic Biological Space-Time. Frontiers in cell and developmental biology, 6(55), p. 55. Frontiers 10.3389/fcell.2018.00055
Brusa, Tobia; Abler, Daniel; Tutuian, Radu; Studer, Peter; Fattorini, Elisa; Gingert, Christian; Heverhagen, Johannes; Brügger, Lukas; Büchler, Philippe (2017). MR-FLIP: A new method that combines FLIP with anatomical information for the spatial compliance assessment of the anal sphincter muscles. Colorectal disease, 19(8), pp. 764-771. Wiley 10.1111/codi.13588
Abler, Daniel; Büchler, Philippe; Rockne, Russell C. (2019). Towards Model-Based Characterization of Biomechanical Tumor Growth Phenotypes. In: International Symposium on Mathematical and Computational Oncology. Lecture Notes in Computer Science: Vol. 11826 (pp. 75-86). Cham: Springer International Publishing 10.1007/978-3-030-35210-3_6
Abler, Daniel; Rockne, Russell C.; Büchler, Philippe (2019). Evaluating the Effect of Tissue Anisotropy on Brain Tumor Growth Using a Mechanically Coupled Reaction–Diffusion Model. In: Tavares, J.; Fernandes, P. (eds.) New Developments on Computational Methods and Imaging in Biomechanics and Biomedical Engineering. Lecture Notes in Computational Vision and Biomechanics: Vol. 33 (pp. 37-48). Cham: Springer 10.1007/978-3-030-23073-9_3
Abler, Daniel; Büchler, Philippe (2018). Evaluation of a Mechanically Coupled Reaction-Diffusion Model for Macroscopic Brain Tumor Growth. In: Gefen, Amit; Weihs, Daphne (eds.) Computer Methods in Biomechanics and Biomedical Engineering: Proceedings of the 14th International Symposium CMBBE, Tel Aviv, Israel, 2016 (pp. 57-64). Cham: Springer International Publishing 10.1007/978-3-319-59764-5_7
Abler, Daniel; Büchler, Philippe; Rockne, Russell (August 2020). Modeling Tumor Growth Biomechanics — Approaches, Challenges & Opportunities (Unpublished). In: Virtual Meeting of the Society for Mathematical Biology (eSMB 2020). 17.-20. Aug 2020.
Abler, Daniel; Büchler, Philippe; Rockne, Russell (August 2020). Characterization of Biomechanical Tumor Growth Phenotypes from Clinical MR Imaging (Unpublished). In: Virtual Physiological Human (VPH). 24. - 28. Aug 2020.
Abler, Daniel; Rockne, Russell C.; Büchler, Philippe (27 August 2019). Model-based Characterization of Brain Tumor Growth (Unpublished). In: Annual Meeting 2019 Swiss Society for Biomedical Engineering. Geneva, CH. August 27th, 2019.
Abler, Daniel; Büchler, Philippe; Rockne, Russell C. (22 July 2019). Capturing variability of tumor-induced mass-effect in glioma growth models (Unpublished). In: Annual Meeting of the Society for Mathematical Biology. Montreal, Canada. July 21-26 2019.
Abler, Daniel; Rockne, Russell C.; Büchler, Philippe (7 July 2019). Characterizing Biomechanical Tumor Growth. In: Congress of the European Society of Biomechanics. Vienna, Austria. July 7-10, 2019.
Abler, Daniel; Büchler, Philippe; Rockne, Russell C. (13 May 2019). Characterizing Biomechanical Tumor Growth (In Press). In: CSBC-PSON Mathematical Oncology Meeting. Portland, Oregon, USA. May 13-14, 2019.
Abler, Daniel; Sahoo, Prativa; Kingsmore, Kathryn; Munson, Jennifer; Büchler, Philippe; Rockne, Russell (November 2018). TMIC-19. USING QUANTITATIVE MR IMAGING TO RELATE GBM MASS EFFECT TO PERFUSION AND DIFFUSION CHARACTERISTICS OF THE TUMOR MICRO-ENVIRONMENT. Neuro-Oncology, 20(suppl_6), vi260-vi260. Oxford University Press 10.1093/neuonc/noy148.1078
Abler, Daniel; Büchler, Philippe; Rockne, Russell (November 2018). TMOD-15. RELIABILITY OF IMAGING-BASED MEASURES OF TUMOR ‘MASS-EFFECT’– EVIDENCE FROM A COMPUTATIONAL STUDY. Neuro-Oncology, 20(suppl_6), vi271-vi271. Oxford University Press 10.1093/neuonc/noy148.1127
Abler, Daniel; Rockne, Russell R.; Büchler, Philippe (July 2018). Image-based Parameter Optimization of a mechanically-coupled Brain Tumor Growth Model (Unpublished). In: 8th World Congress of Biomechanics (WCB). Dublin. July 2018.
Abler, Daniel; Rockne, Russell R.; Büchler, Philippe (March 2018). Evaluating the Effect of Tissue Anisotropy on Brain Tumor Growth using a Mechanically-coupled Reaction-Diffusion Model (Unpublished). In: 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering. Lisbon, Portugal. March 2018.
Abler, Daniel; Büchler, Philippe; Rockne, Russell C. (March 2018). Simulating Brain Tumour Mass-Effect (Unpublished). In: FEniCS Conference. Oxford, UK. March 2018.
Sahoo, Prativa; Abler, Daniel; Adhikarla, Vikram; Maestrini, Davide; Rockne, Russell (2018). TMOD-01. THE ROLE OF PERSISTENCE, PROLIFERATION, AND TUMOR CELL KILLING EFFICIENCY IN DETERMINING RESPONSE TO CAR T-CELL THERAPY IN GLIOBLASTOMA: A MATHEMATICAL MODEL AND ANALYSIS. Neuro-Oncology, 20(suppl_6), vi268-vi268. Oxford University Press 10.1093/neuonc/noy148.1114
Kingsmore, Kathryn; Stine, Caleb; Cornelison, R Chase; Abler, Daniel; Rockne, Russell; Munson, Jennifer (2018). TMIC-20. INTERSTITIAL FLUID FLOW MAGNITUDES DRIVE CHANGES TO THE GLIOMA MICROENVIRONMENT. Neuro-Oncology, 20(suppl_6), vi260-vi260. Oxford University Press 10.1093/neuonc/noy148.1079
Abler, Daniel; Büchler, Philippe (August 2017). Computational Study of the Influence of Biomechanical Forces On the Shape of GBM. In: AAPM Annual Meeting 2017. Denver, CO, USA. Jul 30 - Aug 03 2017.
Abler, Daniel; Rockne, Russell; Büchler, Philippe (2017). TMIC-09. Towards a framework for predictive mathematical modeling of the biomechanical forces causing brain tumor mass-effect. Neuro-Oncology, 19(suppl_6), vi245-vi245. Oxford University Press 10.1093/neuonc/nox168.999
Abler, Daniel; Büchler, Philippe (September 2016). Evaluation of a mechanically-coupled reaction-diffusion model for macroscopic brain tumor growth (Unpublished). In: 14th International Symposium Computer Methods in Biomechanics and Biomedical Engineering (CMBBE). Tel Aviv, Israel. 20.-22.09.2016.
Abler, Daniel; Büchler, Philippe (September 2016). Mechanically-coupled Reaction-Diffusion model of Glioma Growth. In: Hoekstra, A. G. (ed.) Virtual Physiological Human (VPH) Conference 2016 (pp. 23-26). University of Amsterdam
Kistler, Michael; Niklaus, Roman; Abler, Daniel; Büchler, Philippe (August 2016). CHIC-CDR: A repository for managing multi-modality clinical data and its application to in-silico oncology. In: International Conference on Pediatric Oncology and Clinical Pediatrics. Toronto, CA. 11.-13.08.2016.
Abler, Daniel; Büchler, Philippe (July 2016). Mechanically coupled Reaction-Diffusion Model of Macroscopic Brain Tumour Growth. In: European Society of Biomechanics 2016. Lyon, FR. 10.-13.07.2016.
Abler, Daniel; Büchler, Philippe (June 2016). Component Model for Macroscopic Tumour Biomechanics (Unpublished). In: LATSIS SYMPOSIUM ETH ZURICH: PERSONALIZED MEDICINE -- CHALLENGES AND OPPORTUNITIES. Zurich, CH. 27.-29.06.2016.
Abler, Daniel; Büchler, Philippe; Stamatakos, G.S. (February 2016). CHIC – A Multi-scale Modelling Platform for in-silico Oncology. Radiotherapy and oncology, 118, S1. Elsevier 10.1016/S0167-8140(16)30001-9
Stamatakos, Georgios; Kolokotroni, Eleni; Abler, Daniel; Georgiadi, Eleni; Dionysiou, Dimitra; Büchler, Philippe; Antonopoulos, Markos; Solie, Lien; Tousert, Nikolaos; Bnà, Simone; Testi, Debora; Van Gool, Stefaan; Bohle, Rainer; Graf, Norbert (2016). Important Aspects of the Large Scale Integrating EU-US Project CHIC on Advancing In Silico Oncology. In: Hoekstra, A. G. (ed.) Virtual Physiological Human (VPH) conference 2016 (pp. 319-322). University of Amsterdam
