Heiko Enderling

发表

Evolution and Phenotypic Selection of Cancer Stem Cells

Jan Poleszczuk, Philip Hahnfeldt, Heiko Enderling, 2015, PLoS Comput. Biol..

Re: Numerical simulation of normal and cancer cells' populations with fractional derivative under radiotherapy

Heiko Enderling, H. Enderling, 2020, Comput. Methods Programs Biomed..

A High-Performance Cellular Automaton Model of Tumor Growth with Dynamically Growing Domains.

Jan Poleszczuk, Heiko Enderling, H. Enderling, 2013, Applied mathematics.

Predicting Patient-Specific Radiotherapy Protocols Based on Mathematical Model Choice for Proliferation Saturation Index

Kujtim Latifi, Eduardo G Moros, Jan Poleszczuk, 2018, Bulletin of mathematical biology.

Evaluating the potential for maximized T cell redistribution entropy to improve abscopal responses to radiotherapy.

Heiko Enderling, Rachel Walker, Jan Poleszczuk, 2017, Convergent science physical oncology.

High School Internship Program in Integrated Mathematical Oncology (HIP IMO): Five-Year Experience at Moffitt Cancer Center

David Basanta, Katarzyna A Rejniak, Heiko Enderling, 2020, Bulletin of mathematical biology.

Illuminating the Numbers: Integrating Mathematical Models to Optimize Photomedicine Dosimetry and Combination Therapies

Robert A. Gatenby, Tayyaba Hasan, Heiko Enderling, 2019, Front. Phys..

Parameter estimation using aggregate data

H. T. Banks, Heiko Enderling, Jared Catenacci, 2020, Appl. Math. Lett..

Vectorization techniques for efficient agent-based model simulations of tumor growth

Jan Poleszczuk, Heiko Enderling, 2015 .

Therapeutic Implications from Sensitivity Analysis of Tumor Angiogenesis Models

Jan Poleszczuk, Philip Hahnfeldt, Heiko Enderling, 2015, PloS one.

Depend on Activated T-cell Traf fi cking and Distribution between Metastatic Lesions

Eduardo G. Moros, Heiko Enderling, Mark Robertson-Tessi, 2016 .

A proliferation saturation index to predict radiation response and personalize radiotherapy fractionation

Kujtim Latifi, Eduardo G. Moros, Jan Poleszczuk, 2015, Radiation oncology.

Non-stem cancer cell kinetics modulate solid tumor progression

Philip Hahnfeldt, Heiko Enderling, Lynn Hlatky, 2011, Theoretical Biology and Medical Modelling.

Proliferation Saturation Index Predicts Oropharyngeal Squamous Cell Cancer Gross Tumor Volume Reduction to Prospectively Identify Patients for Adaptive Radiation Therapy

Kujtim Latifi, Eduardo G. Moros, Helen M. Byrne, 2016 .

The Tumor Growth Paradox and Immune System-Mediated Selection for Cancer Stem Cells

Philip Hahnfeldt, Heiko Enderling, Thomas Hillen, 2013, Bulletin of mathematical biology.

Formalizing an integrative, multidisciplinary cancer therapy discovery workflow.

Heiko Enderling, Eddy Pasquier, Mary F. McGuire, 2013, Cancer research.

Systems biology of tumor dormancy: linking biology and mathematics on multiple scales to improve cancer therapy.

Philip Hahnfeldt, Heiko Enderling, Lynn Hlatky, 2012, Cancer research.

A Multicompartment Mathematical Model of Cancer Stem Cell-Driven Tumor Growth Dynamics

Philip Hahnfeldt, Heiko Enderling, Brian Barker, 2014, Bulletin of mathematical biology.

Cancer Stem Cell Plasticity as Tumor Growth Promoter and Catalyst of Population Collapse

Jan Poleszczuk, Heiko Enderling, H. Enderling, 2015, bioRxiv.

Immune interconnectivity of anatomically distant tumors as a potential mediator of systemic responses to local therapy

Eduardo G Moros, Jan Poleszczuk, Heiko Enderling, 2018, Scientific Reports.

Phenotypic transition maps of 3D breast acini obtained by imaging-guided agent-based modeling.

Sylvain V Costes, Sabine Becker-Weimann, Heiko Enderling, 2011, Integrative biology : quantitative biosciences from nano to macro.

Tumor morphological evolution: directed migration and gain and loss of the self-metastatic phenotype

Philip Hahnfeldt, Heiko Enderling, Lynn Hlatky, 2010, Biology Direct.

Systems Biology of Tumor Dormancy

Heiko Enderling, Lynn Hlatky, L. Hlatky, 2013, Advances in Experimental Medicine and Biology.

Dependence of invadopodia function on collagen fiber spacing and cross-linking: computational modeling and experimental evidence.

Alexander R. A. Anderson, Heiko Enderling, Muhammad H. Zaman, 2008, Biophysical journal.

Prostate-specific antigen dynamics predict individual responses to intermittent androgen deprivation

Tian Zhang, Robert A. Gatenby, Heiko Enderling, 2019, Nature Communications.

The 2019 mathematical oncology roadmap

Michael Hinczewski, Peter Jeavons, George Biros, 2019, Physical biology.

The future of personalised radiotherapy for head and neck cancer.

Eduardo G Moros, Heiko Enderling, Robert J Gillies, 2017, The Lancet. Oncology.

Mathematical Modeling of the Effects of Tumor Heterogeneity on the Efficiency of Radiation Treatment Schedule

Heiko Enderling, Mohammad Kohandel, H. Enderling, 2018, Bulletin of mathematical biology.

The Evolution of Tumour Composition During Fractionated Radiotherapy: Implications for Outcome

Eduardo G Moros, Heiko Enderling, Philip K Maini, 2017, Bulletin of Mathematical Biology.

Quantitative Modeling of Tumor Dynamics and Radiotherapy

Philip Hahnfeldt, Heiko Enderling, Mark A J Chaplain, 2010, Acta biotheoretica.

Cancer stem cells in solid tumors: is 'evading apoptosis' a hallmark of cancer?

Philip Hahnfeldt, Heiko Enderling, P. Hahnfeldt, 2011, Progress in biophysics and molecular biology.

Simulating Cancer: Computational Models in Oncology

Heiko Enderling, H. Enderling, K. Rejniak, 2013, Front. Oncol..

Prostate-specific antigen dynamics predict individual responses to intermittent androgen deprivation

Tian Zhang, Robert A. Gatenby, Heiko Enderling, 2019, bioRxiv.

A model of breast carcinogenesis and recurrence after radiotherapy

Alexander R. A. Anderson, Mark A. J. Chaplain, Heiko Enderling, 2007 .

The Optimal Radiation Dose to Induce Robust Systemic Anti-Tumor Immunity

Jan Poleszczuk, Heiko Enderling, H. Enderling, 2018, International journal of molecular sciences.

Cancer stem cells: small subpopulation or evolving fraction?

Heiko Enderling, H. Enderling, 2015, Integrative biology : quantitative biosciences from nano to macro.