Lista de obras - Issam El Naqa - Dominio Público Uruguay

4D-CT motion estimation using deformable image registration and 5D respiratory motion modeling.

artículo científico publicado en 2008

A 4D biomechanical lung phantom for joint segmentation/registration evaluation

artículo científico publicado en 2016

A Bayesian network approach for modeling local failure in lung cancer.

artículo científico publicado en 2011

A comparative analysis of longitudinal computed tomography and histopathology for evaluating the potential of mesenchymal stem cells in mitigating radiation-induced pulmonary fibrosis.

artículo científico publicado en 2017

A fast inverse consistent deformable image registration method based on symmetric optical flow computation

artículo científico publicado en 2008

A fast inverse consistent deformable image registration method based on symmetric optical flow computation

A multiobjective Bayesian networks approach for joint prediction of tumor local control and radiation pneumonitis in nonsmall-cell lung cancer (NSCLC) for response-adapted radiotherapy.

artículo científico publicado en 2018

A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy.

artículo científico publicado en 2017

A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities.

artículo científico publicado en 2015

Adaptive learning for relevance feedback: application to digital mammography.

artículo científico publicado en 2010

Analytical modelling of regional radiotherapy dose response of lung.

artículo científico publicado en 2012

Artificial Neural Network with Composite Architectures for Prediction of Local Control in Radiotherapy

artículo científico publicado en 2018

Bayesian network ensemble as a multivariate strategy to predict radiation pneumonitis risk

artículo científico publicado en 2015

Beyond imaging: The promise of radiomics.

artículo científico

Big Data Analytics for Prostate Radiotherapy

artículo científico publicado en 2016

Bioinformatics methods for learning radiation-induced lung inflammation from heterogeneous retrospective and prospective data

artículo científico publicado en 2009

Can radiomics personalise immunotherapy?

scientific article published on 14 August 2018

Characterization of the Tumor Immune Microenvironment Identifies M0 Macrophage-Enriched Cluster as a Poor Prognostic Factor in Hepatocellular Carcinoma

artículo científico publicado en 2020

Cherenkov emission-based external radiotherapy dosimetry: I. Formalism and feasibility

artículo científico publicado en 2019

Cherenkov emission-based external radiotherapy dosimetry: II. Electron beam quality specification and uncertainties

artículo científico publicado en 2019

Combined PET/CT image characteristics for radiotherapy tumor response in lung cancer

scientific article published on 16 November 2011

Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage

scientific article published on 08 April 2019

Comparative methods for PET image segmentation in pharyngolaryngeal squamous cell carcinoma

artículo científico publicado en 2012

Computer-aided detection and diagnosis of breast cancer with mammography: recent advances.

artículo científico publicado en 2009

Contrasting analytical and data-driven frameworks for radiogenomic modeling of normal tissue toxicities in prostate cancer.

artículo científico publicado en 2015

Current role of PET in oncology: Potentials and challenges in the management of non-small cell lung cancer

Datamining approaches for modeling tumor control probability

artículo científico publicado en 2010

Deformable registration of abdominal kilovoltage treatment planning CT and tomotherapy daily megavoltage CT for treatment adaptation

artículo científico publicado en 2009

Determination of planning target volume for whole stomach irradiation using daily megavoltage computed tomographic images.

artículo científico publicado en 2012

Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries.

artículo científico publicado en 2017

Development of a Fully Cross-Validated Bayesian Network Approach for Local Control Prediction in Lung Cancer

artículo científico publicado en 2018

Distribution of lung tissue hysteresis during free breathing.

artículo científico publicado en 2013

Dosimetric consequences of uncorrected setup errors in helical Tomotherapy treatments of breast-cancer patients

artículo científico publicado en 2009

Dosimetric predictors of chest wall pain after lung stereotactic body radiotherapy

artículo científico publicado en 2012

Early Changes in Serial CBCT-Measured Parotid Gland Biomarkers Predict Chronic Xerostomia After Head and Neck Radiation Therapy

scientific article published on 10 July 2018

Early and late lung radiographic injury following stereotactic body radiation therapy (SBRT)

artículo científico publicado en 2009

Elective clinical target volumes for conformal therapy in anorectal cancer: a radiation therapy oncology group consensus panel contouring atlas.

artículo científico publicado en 2008

Enhancement of multimodality texture-based prediction models via optimization of PET and MR image acquisition protocols: a proof of concept.

artículo científico publicado en 2017

Erratum: "Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers" [Med. Phys. 45 (7), 3449-3459 (2018)]

scientific article published on 07 January 2019

Esophageal carcinoma with celiac nodal metastases; curative or palliative?

artículo científico publicado en 2008

Estimation of setup uncertainty using planar and MVCT imaging for gynecologic malignancies.

artículo científico publicado en 2008

Event (error and near-miss) reporting and learning system for process improvement in radiation oncology.

artículo científico publicado en 2010

Experimental evaluation of x-ray acoustic computed tomography for radiotherapy dosimetry applications

artículo científico publicado en 2016

Exploring feature-based approaches in PET images for predicting cancer treatment outcomes.

artículo científico publicado en 2009

FDG-PET-based prognostic nomograms for locally advanced cervical cancer.

artículo científico publicado en 2012

Glioblastoma in Children: A Single-Institution Experience ⬇️

artículo científico publicado el 8 de enero de 2011

Head and Neck Tumor Control Probability: Radiation Dose-Volume Effects in Stereotactic Body Radiation Therapy for Locally Recurrent Previously-Irradiated Head and Neck Cancer: Report of the AAPM Working Group.

artículo científico publicado en 2018

Heart irradiation as a risk factor for radiation pneumonitis.

artículo científico publicado en 2010

Image-Guided Fluorescence Endomicroscopy: From Macro- to Micro-Imaging of Radiation-Induced Pulmonary Fibrosis

artículo científico publicado en 2017

Immunomodulatory Effects of Stereotactic Body Radiation Therapy: Preclinical Insights and Clinical Opportunities

artículo científico publicado en 2019

Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk

In vivo IVUS-based 3-D fluid-structure interaction models with cyclic bending and anisotropic vessel properties for human atherosclerotic coronary plaque mechanical analysis.

artículo científico publicado en 2009

Introduction to Big Data in Radiation Oncology: Exploring Opportunities for Research, Quality Assessment, and Clinical Care

artículo científico publicado en 2016

Investigation of a breathing surrogate prediction algorithm for prospective pulmonary gating.

artículo científico publicado en 2011

Learning a channelized observer for image quality assessment

artículo científico publicado en 2009

Lessons From Large-Scale Collection of Patient-Reported Outcomes: Implications for Big Data Aggregation and Analytics.

artículo científico publicado en 2016

Liver metastasis restrains immunotherapy efficacy via macrophage-mediated T cell elimination

scientific article published on 04 January 2021

Local Control After Stereotactic Body Radiation Therapy for Stage I Non-Small Cell Lung Cancer

scientific article published on 05 April 2019

Long-term outcome in children treated for craniopharyngioma with and without radiotherapy

scientific article published on 01 February 2008

Machine Learning and Imaging Informatics in Oncology

scientific article published on 23 November 2018

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

scientific article published on 13 June 2018

Machine learning and modeling: Data, validation, communication challenges

artículo científico publicado en 2018

Machine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description

scientific article published on 04 March 2019

Mesenchymal Stem Cells Adopt Lung Cell Phenotype in Normal and Radiation-induced Lung Injury Conditions

artículo científico publicado en 2015

Modeling Patient-Specific Dose-Function Response for Enhanced Characterization of Personalized Functional Damage

artículo científico publicado en 2018

Modeling of Normal Tissue Complications Using Imaging and Biomarkers After Radiation Therapy for Hepatocellular Carcinoma.

artículo científico publicado en 2018

Modeling the risk of radiation-induced acute esophagitis for combined Washington University and RTOG trial 93-11 lung cancer patients

scientific article published on 14 June 2011

Monte Carlo role in radiobiological modelling of radiotherapy outcomes

artículo científico publicado en 2012

NCTN Assessment on Current Applications of Radiomics in Oncology

artículo científico publicado en 2019

Non-invasive whole-body plethysmograph for assessment and prediction of radiation-induced lung injury using simultaneously acquired nitric oxide and lung volume measurements.

artículo científico publicado en 2014

Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities

article

Novel multimodality segmentation using level sets and Jensen-Rényi divergence.

artículo científico publicado en 2013

On the Detectability of Acoustic Waves Induced Following Irradiation by a Radiotherapy Linear Accelerator

artículo científico publicado en 2016

On the Fuzziness of Machine Learning, Neural Networks, and Artificial Intelligence in Radiation Oncology.

artículo científico publicado en 2018

On the consistency of Monte Carlo track structure DNA damage simulations.

artículo científico publicado en 2014

Outcome modeling techniques for prostate cancer radiotherapy: Data, models, and validation

artículo científico publicado en 2016

Patterns of failure after stereotactic body radiation therapy or lobar resection for clinical stage I non-small-cell lung cancer.

artículo científico publicado en 2013

Perspectives on making big data analytics work for oncology.

artículo científico publicado en 2016

Physics: The Use of Magnetic Resonance Imaging for Radiation Therapy is Accelerating in Utility and Novelty

scientific article published on 11 November 2015

Precision radiotherapy via information integration of expert human knowledge and AI recommendation to optimize clinical decision making

artículo científico publicado en 2022

Predicting Local Failure in Lung Cancer Using Bayesian Networks

Predicting radiotherapy outcomes using statistical learning techniques.

artículo científico publicado en 2009

Prediction of both conserved and nonconserved microRNA targets in animals.

artículo científico publicado en 2007

Prediction of skin dose in low-kV intraoperative radiotherapy using machine learning models trained on results of in vivo dosimetry

scientific article published on 25 January 2019

Proton and light ion RBE for the induction of direct DNA double strand breaks

artículo científico publicado en 2016

RTOG GU Radiation oncology specialists reach consensus on pelvic lymph node volumes for high-risk prostate cancer

artículo científico publicado en 2008

Radiation Therapy Outcomes Models in the Era of Radiomics and Radiogenomics: Uncertainties and Validation

artículo científico publicado en 2018

Radiation dose-volume effects in the brain.

artículo científico publicado en 2010

Radiation dose-volume effects in the lung.

artículo científico publicado en 2010

Radiation-Induced Edema After Single-Fraction or Multifraction Stereotactic Radiosurgery for Meningioma: A Critical Review

artículo científico publicado en 2018

Radiogenomics and radiotherapy response modeling.

artículo científico publicado en 2017

Radiogenomics is the future of treatment response assessment in clinical oncology

scientific article published on 21 June 2018

Radiomics in precision medicine for lung cancer.

artículo científico publicado en 2017

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer.

artículo científico

SU-D-BRB-03: Prediction of Tumor Outcomes Through Wavelet Image Fusion and Texture Analysis of PET/MR Imaging

artículo científico publicado en 2012

SU-E-I-04: Implementation of a Fast Monte Carlo Scatter Correction for Cone- Beam Computed Tomography

artículo científico publicado en 2012

SU-E-J-110: A Novel Level Set Active Contour Algorithm for Multimodality Joint Segmentation/Registration Using the Jensen-Rényi Divergence

artículo científico publicado en 2012

SU-E-T-05: Comparing DNA Strand Break Yields for Photons under Different Irradiation Conditions with Geant4-DNA.

artículo científico publicado en 2012

Sci-Fri PM: Delivery - 12: Scatter-B-Gon: Implementing a fast Monte Carlo cone-beam computed tomography scatter correction on real data.

artículo científico publicado en 2012

Serum Levels of Hepatocyte Growth Factor and CD40 Ligand Predict Radiation-Induced Liver Injury

artículo científico publicado en 2019

Single- and Multi-Fraction Stereotactic Radiosurgery Dose Tolerances of the Optic Pathways

artículo científico publicado en 2018

Special section: Selected papers from the Fifth International Workshop on Monte Carlo Techniques in Medical Physics

artículo científico publicado en 2015

Special section: Selected papers from the Fourth International Workshop on Recent Advances in Monte Carlo Techniques for Radiation Therapy.

artículo científico publicado en 2012

Stereotactic body radiation therapy for early-stage non-small-cell lung cancer: the pattern of failure is distant.

artículo científico publicado en 2009

Technical note: DIRART--A software suite for deformable image registration and adaptive radiotherapy research.

artículo científico publicado en 2011

Technical note: deformable image registration on partially matched images for radiotherapy applications

artículo científico publicado en 2010

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

artículo científico publicado en 2020

Toward a standard for the evaluation of PET-Auto-Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation

artículo científico publicado en 2017

Toward in vivo dosimetry in external beam radiotherapy using x-ray acoustic computed tomography: A soft-tissue phantom study validation

artículo científico publicado en 2018

Tracking of Mesenchymal Stem Cells with Fluorescence Endomicroscopy Imaging in Radiotherapy-Induced Lung Injury ⬇️

artículo científico publicado en 2017

Tumor control probability modeling for stereotactic body radiation therapy of early-stage lung cancer using multiple bio-physical models.

artículo científico publicado en 2016

Unraveling biophysical interactions of radiation pneumonitis in non-small-cell lung cancer via Bayesian network analysis.

artículo científico publicado en 2017

Variability in clinical target volume delineation for intensity modulated radiation therapy in 3 challenging cervix cancer scenarios

artículo científico publicado en 2015

Variation in the gross tumor volume and clinical target volume for preoperative radiotherapy of primary large high-grade soft tissue sarcoma of the extremity among RTOG sarcoma radiation oncologists.

artículo científico publicado en 2011

Volumetric 18 F-FDG-PET parameters as predictors of locoregional failure in low-risk HPV-related oropharyngeal cancer after definitive chemoradiation therapy

artículo científico publicado en 2018

WE-E-213CD-08: A Novel Level Set Active Contour Algorithm Using the Jensen-Renyi Divergence for Tumor Segmentation in PET.

artículo científico publicado en 2012

Lista de obras de Issam El Naqa

4D-CT motion estimation using deformable image registration and 5D respiratory motion modeling.

A 4D biomechanical lung phantom for joint segmentation/registration evaluation

A Bayesian network approach for modeling local failure in lung cancer.

A comparative analysis of longitudinal computed tomography and histopathology for evaluating the potential of mesenchymal stem cells in mitigating radiation-induced pulmonary fibrosis.

A fast inverse consistent deformable image registration method based on symmetric optical flow computation

A fast inverse consistent deformable image registration method based on symmetric optical flow computation

A multiobjective Bayesian networks approach for joint prediction of tumor local control and radiation pneumonitis in nonsmall-cell lung cancer (NSCLC) for response-adapted radiotherapy.

A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy.

A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities.

Adaptive learning for relevance feedback: application to digital mammography.

Analytical modelling of regional radiotherapy dose response of lung.

Artificial Neural Network with Composite Architectures for Prediction of Local Control in Radiotherapy

Bayesian network ensemble as a multivariate strategy to predict radiation pneumonitis risk

Beyond imaging: The promise of radiomics.

Big Data Analytics for Prostate Radiotherapy

Bioinformatics methods for learning radiation-induced lung inflammation from heterogeneous retrospective and prospective data

Can radiomics personalise immunotherapy?

Characterization of the Tumor Immune Microenvironment Identifies M0 Macrophage-Enriched Cluster as a Poor Prognostic Factor in Hepatocellular Carcinoma

Cherenkov emission-based external radiotherapy dosimetry: I. Formalism and feasibility

Cherenkov emission-based external radiotherapy dosimetry: II. Electron beam quality specification and uncertainties

Combined PET/CT image characteristics for radiotherapy tumor response in lung cancer

Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage

Comparative methods for PET image segmentation in pharyngolaryngeal squamous cell carcinoma

Computer-aided detection and diagnosis of breast cancer with mammography: recent advances.

Contrasting analytical and data-driven frameworks for radiogenomic modeling of normal tissue toxicities in prostate cancer.

Current role of PET in oncology: Potentials and challenges in the management of non-small cell lung cancer

Datamining approaches for modeling tumor control probability

Deformable registration of abdominal kilovoltage treatment planning CT and tomotherapy daily megavoltage CT for treatment adaptation

Determination of planning target volume for whole stomach irradiation using daily megavoltage computed tomographic images.

Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries.

Development of a Fully Cross-Validated Bayesian Network Approach for Local Control Prediction in Lung Cancer

Distribution of lung tissue hysteresis during free breathing.

Dosimetric consequences of uncorrected setup errors in helical Tomotherapy treatments of breast-cancer patients

Dosimetric predictors of chest wall pain after lung stereotactic body radiotherapy

Early Changes in Serial CBCT-Measured Parotid Gland Biomarkers Predict Chronic Xerostomia After Head and Neck Radiation Therapy

Early and late lung radiographic injury following stereotactic body radiation therapy (SBRT)

Elective clinical target volumes for conformal therapy in anorectal cancer: a radiation therapy oncology group consensus panel contouring atlas.

Enhancement of multimodality texture-based prediction models via optimization of PET and MR image acquisition protocols: a proof of concept.

Erratum: "Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers" [Med. Phys. 45 (7), 3449-3459 (2018)]

Esophageal carcinoma with celiac nodal metastases; curative or palliative?

Estimation of setup uncertainty using planar and MVCT imaging for gynecologic malignancies.

Event (error and near-miss) reporting and learning system for process improvement in radiation oncology.

Experimental evaluation of x-ray acoustic computed tomography for radiotherapy dosimetry applications

Exploring feature-based approaches in PET images for predicting cancer treatment outcomes.

FDG-PET-based prognostic nomograms for locally advanced cervical cancer.

Glioblastoma in Children: A Single-Institution Experience ⬇️

Head and Neck Tumor Control Probability: Radiation Dose-Volume Effects in Stereotactic Body Radiation Therapy for Locally Recurrent Previously-Irradiated Head and Neck Cancer: Report of the AAPM Working Group.

Heart irradiation as a risk factor for radiation pneumonitis.

Image-Guided Fluorescence Endomicroscopy: From Macro- to Micro-Imaging of Radiation-Induced Pulmonary Fibrosis

Immunomodulatory Effects of Stereotactic Body Radiation Therapy: Preclinical Insights and Clinical Opportunities

Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk

In vivo IVUS-based 3-D fluid-structure interaction models with cyclic bending and anisotropic vessel properties for human atherosclerotic coronary plaque mechanical analysis.

Introduction to Big Data in Radiation Oncology: Exploring Opportunities for Research, Quality Assessment, and Clinical Care

Investigation of a breathing surrogate prediction algorithm for prospective pulmonary gating.

Learning a channelized observer for image quality assessment

Lessons From Large-Scale Collection of Patient-Reported Outcomes: Implications for Big Data Aggregation and Analytics.

Liver metastasis restrains immunotherapy efficacy via macrophage-mediated T cell elimination

Local Control After Stereotactic Body Radiation Therapy for Stage I Non-Small Cell Lung Cancer

Long-term outcome in children treated for craniopharyngioma with and without radiotherapy

Machine Learning and Imaging Informatics in Oncology

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

Machine learning and modeling: Data, validation, communication challenges

Machine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description

Mesenchymal Stem Cells Adopt Lung Cell Phenotype in Normal and Radiation-induced Lung Injury Conditions

Modeling Patient-Specific Dose-Function Response for Enhanced Characterization of Personalized Functional Damage

Modeling of Normal Tissue Complications Using Imaging and Biomarkers After Radiation Therapy for Hepatocellular Carcinoma.

Modeling the risk of radiation-induced acute esophagitis for combined Washington University and RTOG trial 93-11 lung cancer patients

Monte Carlo role in radiobiological modelling of radiotherapy outcomes

NCTN Assessment on Current Applications of Radiomics in Oncology

Non-invasive whole-body plethysmograph for assessment and prediction of radiation-induced lung injury using simultaneously acquired nitric oxide and lung volume measurements.

Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities

Novel multimodality segmentation using level sets and Jensen-Rényi divergence.

On the Detectability of Acoustic Waves Induced Following Irradiation by a Radiotherapy Linear Accelerator

On the Fuzziness of Machine Learning, Neural Networks, and Artificial Intelligence in Radiation Oncology.

On the consistency of Monte Carlo track structure DNA damage simulations.

Outcome modeling techniques for prostate cancer radiotherapy: Data, models, and validation

Patterns of failure after stereotactic body radiation therapy or lobar resection for clinical stage I non-small-cell lung cancer.

Perspectives on making big data analytics work for oncology.

Physics: The Use of Magnetic Resonance Imaging for Radiation Therapy is Accelerating in Utility and Novelty