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Modelling acute myeloid leukaemia in a continuum of differentiation states

Letters in biomathematics, 2018-01, Vol.5 (Suppl 1), p.S69-S98

2018

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Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach

Physics in medicine & biology, 2010-06, Vol.55 (12), p.3271-3285

2010

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A mathematical model for brain tumor response to radiation therapy

Journal of mathematical biology, 2009-04, Vol.58 (4-5), p.561-578, Article 561

2009

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From patient-specific mathematical neuro-oncology to precision medicine

Frontiers in oncology, 2013-01, Vol.3, p.62-62

2013

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Adaptive IMRT using a multiobjective evolutionary algorithm integrated with a diffusion-invasion model of glioblastoma

Physics in medicine & biology, 2012-12, Vol.57 (24), p.8271-8283

2012

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Reply to comment on: 'Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach'

Physics in medicine & biology, 2016-04, Vol.61 (7), p.2968-2969

2016

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Using a Patient-Specific Mathematical Model and a Multiobjective IMRT Optimization Algorithm in Treatment Planning for Human Glioblastoma

International journal of radiation oncology, biology, physics, 2013-10, Vol.87 (2), p.S257-S257

2013

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SU‐E‐T‐295: Optimizing Radiotherapy for Glioblastoma Using A Patient‐Specific Mathematical Model

Medical Physics, 2013-06, Vol.40 (6), p.272-272

2013

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Adaptive IMRT Using a Multiobjective Evolutionary Algorithm Integrated With a Diffusion-Invasion Model for Glioblastoma

International journal of radiation oncology, biology, physics, 2012-11, Vol.84 (3), p.S758-S758

2012

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SU‐E‐J‐91: Patient‐Specific Virtual Radiation Oncology: Predicting and Quantifying Treatment Response in Individual Glioblastoma Patients

Medical Physics, 2011-06, Vol.38 (6), p.3463-3463

2011

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A Novel Metric of Patient-specific Response to Treatment for Glioblastoma Discriminates Patients With Pseudo-progression

International journal of radiation oncology, biology, physics, 2012-11, Vol.84 (3), p.S9-S9

2012

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Velocity of Radial Expansion of Contrast-enhancing Gliomas and the Effectiveness of Radiotherapy in Individual Patients: a Proof of Principle

Clinical oncology (Royal College of Radiologists (Great Britain)), 2008-05, Vol.20 (4), p.301-308

2008

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SU‐E‐T‐865: Biologically Optimized 4D Dose Distributions for the Treatment of Incurable Glioblastoma

Medical Physics, 2011-06, Vol.38 (6), p.3690-3690

2011

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WE‐E‐17A‐07: Patient‐Specific Mathematical Neuro‐Oncology: Biologically‐Informed Radiation Therapy and Imaging Physics

Medical physics (Lancaster), 2014-06, Vol.41 (6Part29), p.508-509

2014

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RT-29 CONDUCTING VIRTUAL CLINICAL TRIALS TO EVALUATE HYPOFRACTIONATED RADIOTHERAPY FOR NEWLY DIAGNOSED GLIOBLASTOMA

Neuro-oncology (Charlottesville, Va.), 2014-11, Vol.16 (suppl 5), p.v194-v194

2014

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PM-04 IN SILICO ANALYSIS OF AVAglio AND RTOG 0825 PHASE III CLINICAL TRIALS SUGGESTS SIGNATURES OF PATIENTS TO RECEIVE BENEFIT FROM COMBINED BEVACIZUMAB AND RADIATION THERAPIES

Neuro-oncology (Charlottesville, Va.), 2014-11, Vol.16 (suppl 5), p.v169-v169

2014

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PM-06 IMPROVED ANATOMICAL MODEL PREDICTION OF GLIOMA GROWTH UTILIZING TISSUE-SPECIFIC BOUNDARY EFFECTS

Neuro-oncology (Charlottesville, Va.), 2014-11, Vol.16 (suppl 5), p.v170-v170

2014

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Response to "Tumor cells in search for glutamate: an alternative explanation for increased invasiveness of IDH1 mutant gliomas"

Neuro-oncology (Charlottesville, Va.), 2014-12, Vol.16 (12), p.1670-1671

2014

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Applying a patient-specific bio-mathematical model of glioma growth to develop virtual [18F]-FMISO-PET images

Mathematical medicine and biology, 2012-03, Vol.29 (1), p.31-48

2012

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Modelling Acute Myeloid Leukaemia in a Continuum of Differentiation States

Letters in biomathematics, 2018, Vol.5 (2)

2018

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RT-08 PROTON THERAPY (PT) LARGE-VOLUME RE-IRRADIATION FOR RECURRENT GLIOMA: OVERALL SURVIVAL (OS) AND TOXICITY OUTCOMES

Neuro-oncology (Charlottesville, Va.), 2014-11, Vol.16 (suppl 5), p.v189-v189

2014

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ME-09 DYNAMIC EVIDENCE OF TUMOR INDUCED MICROGLIA ACTIVATION AT THE INFILTRATIVE MARGINS OF GLIOMA

Neuro-oncology (Charlottesville, Va.), 2014-11, Vol.16 (suppl 5), p.v121-v121

2014

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BM-14 A PARADIGM SHIFT IN DETERMINING BRAIN METASTASIS TREATMENT: DOES NUMBER REALLY MATTER?

Neuro-oncology (Charlottesville, Va.), 2014-11, Vol.16 (suppl 5), p.v35-v35

2014

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RT-07 APPLICATION OF A GROWTH-RATE BASED RESPONSE METRIC TO RECURRENT MALIGNANT GLIOMAS TREATED WITH LARGE-VOLUME RE-IRRADIATION USING PROTON BEAM THERAPY

Neuro-oncology (Charlottesville, Va.), 2014-11, Vol.16 (suppl 5), p.v189-v189

2014

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NI-43 GROWTH KINETICS OF CONTRAST ENHANCING GLIOMAS ASSOCIATE INVASIVE GROWTH WITH SEIZURE PRESENTATION

Neuro-oncology (Charlottesville, Va.), 2014-11, Vol.16 (suppl 5), p.v147-v147

2014

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Modelling acute myeloid leukaemia in a continuum of differentiation states

Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach

A mathematical model for brain tumor response to radiation therapy

From patient-specific mathematical neuro-oncology to precision medicine

Adaptive IMRT using a multiobjective evolutionary algorithm integrated with a diffusion-invasion model of glioblastoma

Reply to comment on: 'Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach'

Using a Patient-Specific Mathematical Model and a Multiobjective IMRT Optimization Algorithm in Treatment Planning for Human Glioblastoma

SU‐E‐T‐295: Optimizing Radiotherapy for Glioblastoma Using A Patient‐Specific Mathematical Model

Adaptive IMRT Using a Multiobjective Evolutionary Algorithm Integrated With a Diffusion-Invasion Model for Glioblastoma

SU‐E‐J‐91: Patient‐Specific Virtual Radiation Oncology: Predicting and Quantifying Treatment Response in Individual Glioblastoma Patients

A Novel Metric of Patient-specific Response to Treatment for Glioblastoma Discriminates Patients With Pseudo-progression

Velocity of Radial Expansion of Contrast-enhancing Gliomas and the Effectiveness of Radiotherapy in Individual Patients: a Proof of Principle

SU‐E‐T‐865: Biologically Optimized 4D Dose Distributions for the Treatment of Incurable Glioblastoma

WE‐E‐17A‐07: Patient‐Specific Mathematical Neuro‐Oncology: Biologically‐Informed Radiation Therapy and Imaging Physics

RT-29 CONDUCTING VIRTUAL CLINICAL TRIALS TO EVALUATE HYPOFRACTIONATED RADIOTHERAPY FOR NEWLY DIAGNOSED GLIOBLASTOMA

PM-04 IN SILICO ANALYSIS OF AVAglio AND RTOG 0825 PHASE III CLINICAL TRIALS SUGGESTS SIGNATURES OF PATIENTS TO RECEIVE BENEFIT FROM COMBINED BEVACIZUMAB AND RADIATION THERAPIES

PM-06 IMPROVED ANATOMICAL MODEL PREDICTION OF GLIOMA GROWTH UTILIZING TISSUE-SPECIFIC BOUNDARY EFFECTS

Response to "Tumor cells in search for glutamate: an alternative explanation for increased invasiveness of IDH1 mutant gliomas"

Applying a patient-specific bio-mathematical model of glioma growth to develop virtual [18F]-FMISO-PET images

Modelling Acute Myeloid Leukaemia in a Continuum of Differentiation States

RT-08 PROTON THERAPY (PT) LARGE-VOLUME RE-IRRADIATION FOR RECURRENT GLIOMA: OVERALL SURVIVAL (OS) AND TOXICITY OUTCOMES

ME-09 DYNAMIC EVIDENCE OF TUMOR INDUCED MICROGLIA ACTIVATION AT THE INFILTRATIVE MARGINS OF GLIOMA

BM-14 A PARADIGM SHIFT IN DETERMINING BRAIN METASTASIS TREATMENT: DOES NUMBER REALLY MATTER?

RT-07 APPLICATION OF A GROWTH-RATE BASED RESPONSE METRIC TO RECURRENT MALIGNANT GLIOMAS TREATED WITH LARGE-VOLUME RE-IRRADIATION USING PROTON BEAM THERAPY

NI-43 GROWTH KINETICS OF CONTRAST ENHANCING GLIOMAS ASSOCIATE INVASIVE GROWTH WITH SEIZURE PRESENTATION

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