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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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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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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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Influence of temporal parameters of DCE‐MRI on the quantification of heterogeneity in tumor vascularization

Journal of magnetic resonance imaging, 2019-12, Vol.50 (6), p.1773-1788

2019

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Joint State-Parameter Estimation for Tumor Growth Model

SIAM journal on applied mathematics, 2021-01, Vol.81 (2), p.355-377

2021

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T2‐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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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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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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Computational Modeling of Solid Tumor Growth: The Avascular Stage

SIAM journal on scientific computing, 2010-01, Vol.32 (4), p.2321-2344

2010

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Machine Learning and Mechanistic Modeling for Prediction of Metastatic Relapse in Early-Stage Breast Cancer

JCO clinical cancer informatics, 2020-03 (4), p.259-274

2020

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Spatial mechanistic modeling for prediction of the growth of asymptomatic meningioma

Computer methods and programs in biomedicine, 2020

2020

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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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TMOD−03 Motility controls growth and progression patterns of glioblastoma multiforme

Neuro-oncology (Charlottesville, Va.), 2015-11

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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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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An Hybrid Model for Rectal Tumour Response Prediction during Radiotherapy

Open Journal of Biophysics (Irvine, CA), 2022, Vol.12 (4), p.245-264

2022

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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.LNCS-14295, p.3-16

2023

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Computational modeling of ultrashort powerful laser pulses in a nonlinear crystal

Journal of computational physics, 2004-07, Vol.197 (2), p.624-646

Saut, Olivier

2004

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SYSTEM IDENTIFICATION IN TUMOR GROWTH MODELING USING SEMI-EMPIRICAL EIGENFUNCTIONS

Mathematical models & methods in applied sciences, 2012-06, Vol.22 (6)

2012

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Computational modelling of metastasis development in renal cell carcinoma

PLoS computational biology, 2015-11

2015

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

Neuro-oncology practice, 2019-10

2019

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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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Numerical methods for the bidimensional Maxwell–Bloch equations in nonlinear crystals

Journal of computational physics, 2006-04, Vol.213 (2), p.823-843

2006

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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

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

MRI-Based Radiomics Input for Prediction of 2-Year Disease Recurrence in Anal Squamous Cell Carcinoma

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

Influence of temporal parameters of DCE‐MRI on the quantification of heterogeneity in tumor vascularization

Joint State-Parameter Estimation for Tumor Growth Model

T2‐based MRI Delta‐radiomics improve response prediction in soft‐tissue sarcomas treated by neoadjuvant chemotherapy

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

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

Computational Modeling of Solid Tumor Growth: The Avascular Stage

Machine Learning and Mechanistic Modeling for Prediction of Metastatic Relapse in Early-Stage Breast Cancer

Spatial mechanistic modeling for prediction of the growth of asymptomatic meningioma

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

TMOD−03 Motility 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

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

An Hybrid Model for Rectal Tumour Response Prediction during Radiotherapy

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

Computational modeling of ultrashort powerful laser pulses in a nonlinear crystal

SYSTEM IDENTIFICATION IN TUMOR GROWTH MODELING USING SEMI-EMPIRICAL EIGENFUNCTIONS

Computational modelling of metastasis development in renal cell carcinoma

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

Computational Modelling of Metastasis Development in Renal Cell Carcinoma: e1004626

Numerical methods for the bidimensional Maxwell–Bloch equations in nonlinear crystals

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