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Computational Horizons in Cancer (CHIC)

Clinical therapeutics, 2017-08, Vol.39 (8), p.e107-e108

2017

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The mutual determination of self-efficacy to cope with cancer and cancer-related coping over time: a prospective study in women with breast cancer

Psychology & health, 2023-12, Vol.38 (12), p.1635-1648

2023

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IL.12 - IN SILICO MEDICINE: MULTISCALE MECHANISTIC SIMULATION, ARTIFICIAL INTELLIGENCE AND MODERN STATISTICS AS TOOLS TO SUPPORT DECISIONS ON REAL CLINICAL PROBLEMS

Physica medica, 2022-12, Vol.104, p.S5-S5

Stamatakos, G.

2022

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IN SILICO MEDICINE: MULTISCALE MECHANISTIC SIMULATION, ARTIFICIAL INTELLIGENCE AND MODERN STATISTICS AS TOOLS TO SUPPORT DECISIONS ON REAL CLINICAL PROBLEMS

Physica medica, 2022-12, Vol.104, p.S5

Stamatakos, G.

2022

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Changes over time in self-efficacy to cope with cancer and well-being in women with breast cancer: a cross-cultural study

Psychology & health, 2023-04, Vol.ahead-of-print (ahead-of-print), p.1-14

2023

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The Interplay Between Trait Resilience and Coping Self-efficacy in Patients with Breast Cancer: An International Study

Journal of clinical psychology in medical settings, 2023-03, Vol.30 (1), p.119-128

2023

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An advanced discrete state–discrete event multiscale simulation model of the response of a solid tumor to chemotherapy: Mimicking a clinical study

Journal of theoretical biology, 2010-09, Vol.266 (1), p.124-139

2010

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A four-dimensional computer simulation model of the in vivo response to radiotherapy of glioblastoma multiforme: studies on the effect of clonogenic cell density

British journal of radiology, 2006-05, Vol.79 (941), p.389-400

2006

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Studying the growth kinetics of untreated clinical tumors by using an advanced discrete simulation model

Mathematical and computer modelling, 2011-11, Vol.54 (9), p.1989-2006

2011

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Multiscale Modeling for Image Analysis of Brain Tumor Studies

IEEE transactions on biomedical engineering, 2012-01, Vol.59 (1), p.25-29

2012

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Clinically driven design of multi-scale cancer models: the ContraCancrum project paradigm

Interface focus, 2011-06, Vol.1 (3), p.450-461

2011

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Cognitive, emotional, and behavioral mediators of the impact of coping self‐efficacy on adaptation to breast cancer: An international prospective study

Psycho-oncology (Chichester, England), 2021-09, Vol.30 (9), p.1555-1562

2021

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In silico radiation oncology: combining novel simulation algorithms with current visualization techniques

Proceedings of the IEEE, 2002-11, Vol.90 (11), p.1764-1777

2002

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Critical parameters determining standard radiotherapy treatment outcome for glioblastoma multiforme: a computer simulation

The open biomedical engineering journal, 2008-09, Vol.2 (1), p.43-51

2008

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'In silico' oncology for clinical decision making in the context of nephroblastoma

Klinische Padiatrie, 2009-05, Vol.221 (3), p.141

2009

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Analysis of the interaction between a layered spherical human head model and a finite-length dipole

IEEE transactions on microwave theory and techniques, 2000-11, Vol.48 (11), p.2003-2013

2000

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A spatiotemporal, patient individualized simulation model of solid tumor response to chemotherapy in vivo: the paradigm of glioblastoma multiforme treated by temozolomide

IEEE transactions on biomedical engineering, 2006-08, Vol.53 (8), p.1467-1477

2006

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Simulating growth dynamics and radiation response of avascular tumour spheroids—model validation in the case of an EMT6/Ro multicellular spheroid

Computer methods and programs in biomedicine, 2004-12, Vol.76 (3), p.193-206

2004

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A four-dimensional simulation model of tumour response to radiotherapy in vivo: parametric validation considering radiosensitivity, genetic profile and fractionation

Journal of theoretical biology, 2004-09, Vol.230 (1), p.1-20

2004

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398 POSTER Clinical requirements of “In Silico Oncology” as part of the integrated project ACGT (Advancing Clinico-Genomic Trials on Cancer)

European journal of cancer supplements, 2007, Vol.5 (4), p.83-83

2007

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Post-genomic clinical trials - the perspective of ACGT

Ecancermedicalscience, 2008-01, Vol.3, p.66-66

Graf, Norbert

2008

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A patient-specific in vivo tumor and normal tissue model for prediction of the response to radiotherapy

Methods of information in medicine, 2007, Vol.46 (3), p.367

2007

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Computational horizons in cancer (CHIC): Developing meta- and hyper-multiscale models and repositories for in Silico Oncology - A brief technical outline of the project

Proceedings of the 2014 6th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation - The CHIC Project Workshop (IARWISOCI), 2014, p.1-5

2014

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Modeling tumor growth and irradiation response in vitro-a combination of high-performance computing and Web-based technologies including VRML visualization

IEEE journal of biomedical and health informatics, 2001-12, Vol.5 (4), p.279-289

2001

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A Patient-specific in vivo Tumor and Normal Tissue Model for Prediction of the Response to Radiotherapy: A Computer Simulation Approach

Methods of information in medicine, 2007, Vol.46 (3), p.367-375

2007

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Computational Horizons in Cancer (CHIC)

The mutual determination of self-efficacy to cope with cancer and cancer-related coping over time: a prospective study in women with breast cancer

IL.12 - IN SILICO MEDICINE: MULTISCALE MECHANISTIC SIMULATION, ARTIFICIAL INTELLIGENCE AND MODERN STATISTICS AS TOOLS TO SUPPORT DECISIONS ON REAL CLINICAL PROBLEMS

IN SILICO MEDICINE: MULTISCALE MECHANISTIC SIMULATION, ARTIFICIAL INTELLIGENCE AND MODERN STATISTICS AS TOOLS TO SUPPORT DECISIONS ON REAL CLINICAL PROBLEMS

Changes over time in self-efficacy to cope with cancer and well-being in women with breast cancer: a cross-cultural study

The Interplay Between Trait Resilience and Coping Self-efficacy in Patients with Breast Cancer: An International Study

An advanced discrete state–discrete event multiscale simulation model of the response of a solid tumor to chemotherapy: Mimicking a clinical study

A four-dimensional computer simulation model of the in vivo response to radiotherapy of glioblastoma multiforme: studies on the effect of clonogenic cell density

Studying the growth kinetics of untreated clinical tumors by using an advanced discrete simulation model

Multiscale Modeling for Image Analysis of Brain Tumor Studies

Clinically driven design of multi-scale cancer models: the ContraCancrum project paradigm

Cognitive, emotional, and behavioral mediators of the impact of coping self‐efficacy on adaptation to breast cancer: An international prospective study

In silico radiation oncology: combining novel simulation algorithms with current visualization techniques

Critical parameters determining standard radiotherapy treatment outcome for glioblastoma multiforme: a computer simulation

'In silico' oncology for clinical decision making in the context of nephroblastoma

Analysis of the interaction between a layered spherical human head model and a finite-length dipole

A spatiotemporal, patient individualized simulation model of solid tumor response to chemotherapy in vivo: the paradigm of glioblastoma multiforme treated by temozolomide

Simulating growth dynamics and radiation response of avascular tumour spheroids—model validation in the case of an EMT6/Ro multicellular spheroid

A four-dimensional simulation model of tumour response to radiotherapy in vivo: parametric validation considering radiosensitivity, genetic profile and fractionation

398 POSTER Clinical requirements of “In Silico Oncology” as part of the integrated project ACGT (Advancing Clinico-Genomic Trials on Cancer)

Post-genomic clinical trials - the perspective of ACGT

A patient-specific in vivo tumor and normal tissue model for prediction of the response to radiotherapy

Computational horizons in cancer (CHIC): Developing meta- and hyper-multiscale models and repositories for in Silico Oncology - A brief technical outline of the project

Modeling tumor growth and irradiation response in vitro-a combination of high-performance computing and Web-based technologies including VRML visualization

A Patient-specific in vivo Tumor and Normal Tissue Model for Prediction of the Response to Radiotherapy: A Computer Simulation Approach

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