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Computational Modelling of Metastasis Development in Renal Cell Carcinoma

PLoS computational biology, 2015-11, Vol.11 (11), p.e1004626-e1004626

2015

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Radiomics and Machine Learning in Anal Squamous Cell Carcinoma: A New Step for Personalized Medicine?

Applied sciences, 2020-03, Vol.10 (6), p.1988

2020

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Ion fluxes, transmembrane potential, and osmotic stabilization: a new dynamic electrophysiological model for eukaryotic cells

European biophysics journal, 2011-03, Vol.40 (3), p.235-246

2011

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T 2 -based MRI Delta-radiomics improve response prediction in soft-tissue sarcomas treated by neoadjuvant chemotherapy

Journal of magnetic resonance imaging, 2019-08, Vol.50 (2), p.497-510

2019

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High‐Grade Soft‐Tissue Sarcomas: Can Optimizing Dynamic Contrast‐Enhanced MRI Postprocessing Improve Prognostic Radiomics Models?

Journal of magnetic resonance imaging, 2020-07, Vol.52 (1), p.282-297

2020

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Evaluation of four tumour growth models to describe the natural history of meningiomasResearch in context

EBioMedicine, 2023-08, Vol.94, p.104697

2023

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Spatial mechanistic modeling for prediction of the growth of asymptomatic meningiomas

Computer methods and programs in biomedicine, 2021-02, Vol.199, p.105829-105829, Article 105829

2021

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Development and external validation of a prediction model for the transition from mild to moderate or severe form of COVID-19

European radiology, 2023-12, Vol.33 (12), p.9262-9274

2023

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Abstract B2-18: Mechanisms of GBM progression on bevacizumab: Model predictions

Cancer research (Chicago, Ill.), 2015-11, Vol.75 (22_Supplement_2), p.B2-B2-18

2015

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Differentiation of Small Clear Renal Cell Carcinoma and Oncocytoma through Magnetic Resonance Imaging-Based Radiomics Analysis: Toward the End of Percutaneous Biopsy

Journal of personalized medicine, 2023-09, Vol.13 (10), p.1444

2023

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TMOD-03MOTILITY CONTROLS GROWTH AND PROGRESSION PATTERNS OF GLIOBLASTOMA MULTIFORME

Neuro-oncology (Charlottesville, Va.), 2015-11, Vol.17 (suppl 5), p.v226.3-v226

2015

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Comparison of MRI-based response criteria and radiomics for the prediction of early response to transarterial radioembolization in patients with hepatocellular carcinoma

Diagnostic and interventional imaging, 2022-07, Vol.103 (7-8), p.360-366

2022

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A multiscale mathematical model of avascular tumor growth to investigate the therapeutic benefit of anti-invasive agents

Journal of theoretical biology, 2006-12, Vol.243 (4), p.532-541

2006

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Interval between planning and frameless stereotactic radiosurgery for brain metastases: are our margins still accurate?

Neuro-oncology practice, 2020-03, Vol.7 (2), p.211-217

2020

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Computational modelling of metastasis development in renal cell carcinoma

PLoS computational biology, 2015-11

2015

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A pharmacologically based multiscale mathematical model of angiogenesis and its use in investigating the efficacy of a new cancer treatment strategy

Journal of theoretical biology, 2009-10, Vol.260 (4), p.545-562

2009

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Theoretical investigation of the efficacy of antiangiogenic drugs combined to chemotherapy in xenografted mice

Journal of theoretical biology, 2013-03, Vol.320, p.86-99

2013

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Computational Modelling of Metastasis Development in Renal Cell Carcinoma: e1004626

PLoS computational biology, 2015-11, Vol.11 (11)

2015

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A spectral method for the equations of Maxwell-Bloch in the two-dimensional non-linear crystals

Comptes rendus. Mathématique, 2005-06, Vol.340 (12), p.927-932

Saut, Olivier

2005

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A Deep Attention-Multiple Instance Learning Framework to Predict Survival of Soft-Tissue Sarcoma from Whole Slide Images

Cancer Prevention Through Early Detection, 2023, Vol.14295, p.3-16

2023

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Patient-specific simulation of tumor growth, response to the treatment, and relapse of a lung metastasis: a clinical case: Doc 14

Journal of computational surgery, 2015-02, Vol.2 (1), p.1

2015

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Computational Trials: Unraveling Motility Phenotypes, Progression Patterns, and Treatment Options for Glioblastoma Multiforme: e0146617

PloS one, 2016-01, Vol.11 (1)

2016

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Une méthode spectrale pour les équations de Maxwell–Bloch bidimensionnelles dans les cristaux non-linéaires

Comptes rendus. Mathématique, 2005-05, Vol.340 (12), p.927-932

Saut, Olivier

2005

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Patient Specific Image Driven Evaluation of the Aggressiveness of Metastases to the Lung

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 2014, Vol.17 (Pt 1), p.553-560

2014

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Toward a New Laser Induced Hydrodynamic Forward Transfer Process with Femtosecond Lasers

Contributions to plasma physics (1988), 2010

2010

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Computational Modelling of Metastasis Development in Renal Cell Carcinoma

Radiomics and Machine Learning in Anal Squamous Cell Carcinoma: A New Step for Personalized Medicine?

Ion fluxes, transmembrane potential, and osmotic stabilization: a new dynamic electrophysiological model for eukaryotic cells

T 2 -based MRI Delta-radiomics improve response prediction in soft-tissue sarcomas treated by neoadjuvant chemotherapy

High‐Grade Soft‐Tissue Sarcomas: Can Optimizing Dynamic Contrast‐Enhanced MRI Postprocessing Improve Prognostic Radiomics Models?

Evaluation of four tumour growth models to describe the natural history of meningiomasResearch in context

Spatial mechanistic modeling for prediction of the growth of asymptomatic meningiomas

Development and external validation of a prediction model for the transition from mild to moderate or severe form of COVID-19

Abstract B2-18: Mechanisms of GBM progression on bevacizumab: Model predictions

Differentiation of Small Clear Renal Cell Carcinoma and Oncocytoma through Magnetic Resonance Imaging-Based Radiomics Analysis: Toward the End of Percutaneous Biopsy

TMOD-03MOTILITY CONTROLS GROWTH AND PROGRESSION PATTERNS OF GLIOBLASTOMA MULTIFORME

Comparison of MRI-based response criteria and radiomics for the prediction of early response to transarterial radioembolization in patients with hepatocellular carcinoma

A multiscale mathematical model of avascular tumor growth to investigate the therapeutic benefit of anti-invasive agents

Interval between planning and frameless stereotactic radiosurgery for brain metastases: are our margins still accurate?

Computational modelling of metastasis development in renal cell carcinoma

A pharmacologically based multiscale mathematical model of angiogenesis and its use in investigating the efficacy of a new cancer treatment strategy

Theoretical investigation of the efficacy of antiangiogenic drugs combined to chemotherapy in xenografted mice

Computational Modelling of Metastasis Development in Renal Cell Carcinoma: e1004626

A spectral method for the equations of Maxwell-Bloch in the two-dimensional non-linear crystals

A Deep Attention-Multiple Instance Learning Framework to Predict Survival of Soft-Tissue Sarcoma from Whole Slide Images

Patient-specific simulation of tumor growth, response to the treatment, and relapse of a lung metastasis: a clinical case: Doc 14

Computational Trials: Unraveling Motility Phenotypes, Progression Patterns, and Treatment Options for Glioblastoma Multiforme: e0146617

Une méthode spectrale pour les équations de Maxwell–Bloch bidimensionnelles dans les cristaux non-linéaires

Patient Specific Image Driven Evaluation of the Aggressiveness of Metastases to the Lung

Toward a New Laser Induced Hydrodynamic Forward Transfer Process with Femtosecond Lasers

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