I. E. El Naqa

发表

Artificial Intelligence in Clinical Trials

I. El Naqa, Hina Saeed, I. E. El Naqa, 2022, Machine and Deep Learning in Oncology, Medical Physics and Radiology.

Characterization of X-Ray Acoustic Computed Tomography for Applications in Radiotherapy Dosimetry

Issam El Naqa, Maritza Hobson, Susannah Hickling, 2018, IEEE Transactions on Radiation and Plasma Medical Sciences.

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

Pierre Léger, Issam El Naqa, Xueding Wang, 2017, Medical physics.

Radiogenomics and radiotherapy response modeling

Issam El Naqa, Yi Luo, Randall K Ten Haken, 2017, Physics in medicine and biology.

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

Issam El Naqa, Prajnan Das, Aditya Apte, 2009, International journal of radiation oncology, biology, physics.

Lessons learned in transitioning to AI in the medical imaging of COVID-19

Jordan D. Fuhrman, M. Giger, Weijie Chen, 2021, Journal of medical imaging.

Machine and deep learning methods for radiomics.

Issam El Naqa, Michele Avanzo, Martin Vallières, 2020, Medical physics.

Beyond imaging: The promise of radiomics.

M. Avanzo, J. Stancanello, I. E. El Naqa, 2017, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Patterns of Failure after Stereotactic Body Radiation Therapy or Lobar Resection for Clinical Stage I Non–Small-Cell Lung Cancer

Jeffrey D Bradley, Parag J Parikh, Issam M El Naqa, 2013, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Dose-response for stereotactic body radiotherapy in early-stage non-small-cell lung cancer.

P. Parikh, J. Bradley, I. El Naqa, 2011, International journal of radiation oncology, biology, physics.

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

W. Tomé, P. Tran, T. DeWeese, 2019, International journal of radiation oncology, biology, physics.

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

B. Erickson, I. El Naqa, W. Bosch, 2015, Practical radiation oncology.

Consensus guidelines for delineation of clinical target volume for intensity-modulated pelvic radiotherapy for the definitive treatment of cervix cancer.

Issam El Naqa, Anthony Fyles, David Gaffney, 2011, International journal of radiation oncology, biology, physics.

18F-FDG PET definition of gross tumor volume for radiotherapy of non-small cell lung cancer: is a single standardized uptake value threshold approach appropriate?

Sasa Mutic, Jeffrey D Bradley, Issam El Naqa, 2006, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

Artificial Intelligence Applications to Improve the Treatment of Locally Advanced Non-Small Cell Lung Cancers

H. Aerts, A. Dekker, D. de Ruysscher, 2021, Cancers.

Predicting radiotherapy outcomes using statistical learning techniques

Joseph O Deasy, Jeffrey D Bradley, Issam El Naqa, 2009, Physics in medicine and biology.

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

A. Chinnaiyan, Xuhong Cao, Yilun Sun, 2021, Nature Medicine.

Machine learning and modeling: Data, validation, communication challenges

Todd McNutt, Yaorong Ge, Issam El Naqa, 2018, Medical physics.

Neurocognitive Effects and Necrosis in Childhood Cancer Survivors Treated With Radiation Therapy: A PENTEC Comprehensive Review.

S. McGovern, C. Ronckers, I. El Naqa, 2021, International journal of radiation oncology, biology, physics.

Artificial Intelligence for Response Evaluation With PET/CT.

I. E. Naqa, Lise Wei, I. E. El Naqa, 2020, Seminars in nuclear medicine.

Tumor response prediction in 90Y radioembolization with PET-based radiomics features and absorbed dose metrics

I. El Naqa, Lise Wei, Y. Dewaraja, 2020, EJNMMI Physics.

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

R. Steenbakkers, M. Hatt, M. Desseroit, 2016, Radiology.

Classification and evaluation strategies of auto‐segmentation approaches for PET: Report of AAPM task group No. 211

Habib Zaidi, Issam El Naqa, Robert Jeraj, 2017, Medical physics.

18F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort

M. Hatt, F. Tixier, C. L. Le Rest, 2015, The Journal of Nuclear Medicine.

PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques

Habib Zaidi, Issam El Naqa, H. Zaidi, 2010, European Journal of Nuclear Medicine and Molecular Imaging.

Dose-volume modeling of salivary function in patients with head-and-neck cancer receiving radiotherapy.

Joseph O Deasy, Issam El Naqa, Milos Vicic, 2005, International journal of radiation oncology, biology, physics.

Monte Carlo role in radiobiological modelling of radiotherapy outcomes

Issam El Naqa, Jan Seuntjens, J. Seuntjens, 2012, Physics in medicine and biology.

Machine (Deep) Learning Methods for Image Processing and Radiomics

M. Hatt, C. Parmar, J. Qi, 2019, IEEE Transactions on Radiation and Plasma Medical Sciences.

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

Issam El Naqa, Lijun Ma, Ellen Yorke, 2018, International journal of radiation oncology, biology, physics.

Pretreatment 18F-FDG PET Textural Features in Locally Advanced Non–Small Cell Lung Cancer: Secondary Analysis of ACRIN 6668/RTOG 0235

Jeffrey D Bradley, Issam El Naqa, Fenghai Duan, 2016, The Journal of Nuclear Medicine.

User experience evaluation for MIDRC AI interface

Jordan D. Fuhrman, M. Giger, Hui Li, 2023, Medical Imaging.

MIDRC CRP10 AI interface—an integrated tool for exploring, testing and visualization of AI models

Jordan D. Fuhrman, M. Giger, Hui Li, 2023, Physics in medicine and biology.

Automatic recognition and analysis of metal streak artifacts in head and neck computed tomography for radiomics modeling

Issam El Naqa, Michelle Mierzwa, Martin Vallières, 2019, Physics and imaging in radiation oncology.

Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis

I. El Naqa, M. Avanzo, J. Stancanello, 2020, Frontiers in Oncology.

Predicting late radiation-induced xerostomia with parotid gland PET biomarkers and dose metrics.

J. Wilkie, M. Schipper, I. El Naqa, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Integrating radiomics into clinical trial design.

I. El Naqa, Michael D. Green, B. Rosen, 2019, The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of....

Machine Learning and Imaging Informatics in Oncology

Issam El Naqa, Huan-Hsin Tseng, Yi Luo, 2018, Oncology.

Smart Adaptive Treatment Strategies

R. T. Ten Haken, I. El Naqa, H. Tseng, 2022, Machine and Deep Learning in Oncology, Medical Physics and Radiology.

Conventional Machine Learning Methods

Sangkyun Lee, I. El Naqa, I. E. El Naqa, 2022, Machine and Deep Learning in Oncology, Medical Physics and Radiology.

Comparison of spirometry and abdominal height as four-dimensional computed tomography metrics in lung.

Jeffrey D Bradley, Daniel A Low, Wei Lu, 2005, Medical physics.

Quantitation of the reconstruction quality of a four-dimensional computed tomography process for lung cancer patients.

Sasa Mutic, Jeffrey D Bradley, Daniel A Low, 2005, Medical physics.

Can radiomics personalise immunotherapy?

R. T. Ten Haken, I. E. Naqa, R. T. Haken, 2018, The Lancet. Oncology.

Requirements and reliability of AI in the medical context.

Y. Balagurunathan, I. El Naqa, Ross Mitchell, 2021, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century.

Issam El Naqa, Randall K Ten Haken, Maryellen L Giger, 2020, The British journal of radiology.

Dosimetric predictors of chest wall pain after lung stereotactic body radiotherapy.

P. Parikh, J. Bradley, C. Robinson, 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Serum Levels of Hepatocyte Growth Factor and CD40 Ligand Predict Radiation-Induced Liver Injury123

Yilun Sun, M. Schipper, I. El Naqa, 2019, Translational oncology.

Stereotactic body radiation therapy versus surgical resection for stage I non-small cell lung cancer.

J. Bradley, T. Crabtree, D. Kreisel, 2010, The Journal of thoracic and cardiovascular surgery.

Tumor Control Probability of Radiosurgery and Fractionated Stereotactic Radiosurgery for Brain Metastases.

E. Yorke, D. Heron, I. El Naqa, 2020, International journal of radiation oncology, biology, physics.

Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration

Jie Fu, I. El Naqa, Matthew Nyflot, 2023, The British journal of radiology.

Introduction to machine and deep learning for medical physicists.

Issam El Naqa, Huan-Hsin Tseng, Randall K Ten Haken, 2020, Medical physics.

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

Adam Johansson, Issam El Naqa, Randall K Ten Haken, 2018, International journal of radiation oncology, biology, physics.

Tumor Immune Microenvironment Clusters in Localized Prostate Adenocarcinoma: Prognostic Impact of Macrophage Enriched/Plasma Cell Non-Enriched Subtypes

R. Dess, W. Jackson, F. Feng, 2020, Journal of clinical medicine.

The big data effort in radiation oncology: Data mining or data farming?

Issam El Naqa, Randall K. Ten Haken, Shruti Jolly, 2016, Advances in radiation oncology.

Integrating multi-omics information in deep learning architectures for joint actuarial outcome prediction in non-small-cell lung cancer patients after radiation therapy.

R. T. Ten Haken, I. El Naqa, Sunan Cui, 2021, International journal of radiation oncology, biology, physics.

A bioinformatics approach for biomarker identification in radiation-induced lung inflammation from limited proteomics data.

Joseph O Deasy, Jeffrey D Bradley, Issam El Naqa, 2011, Journal of proteome research.

Quantum-Inspired Algorithm for Radiotherapy Planning Optimization.

Issam El Naqa, Huan-Hsin Tseng, Randall K Ten Haken, 2019, Medical physics.

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

Timothy Solberg, Issam El Naqa, Gilmer Valdes, 2018, Medical physics.

Pelvic normal tissue contouring guidelines for radiation therapy: a Radiation Therapy Oncology Group consensus panel atlas.

Issam El Naqa, David Gaffney, Christopher Willett, 2012, International journal of radiation oncology, biology, physics.

Modeling radiation pneumonitis risk with clinical, dosimetric, and spatial parameters.

J. Deasy, J. Bradley, I. El Naqa, 2006, International journal of radiation oncology, biology, physics.

Multivariable modeling of radiotherapy outcomes, including dose-volume and clinical factors.

J. Deasy, J. Bradley, I. El Naqa, 2006, International journal of radiation oncology, biology, physics.

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

K. Brock, J. Balter, R. T. Ten Haken, 2018, International journal of radiation oncology, biology, physics.

An Ionizing Radiation Acoustic Imaging (iRAI) Technique for Real-Time Dosimetric Measurements for FLASH Radiotherapy.

Xueding Wang, K. Lam, P. Carson, 2020, Medical physics.

Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: A secondary analysis of two prospective trials

K. Malloy, I. El Naqa, A. Eisbruch, 2021, Clinical and Translational Radiation Oncology.

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

I. El Naqa, A. Eisbruch, B. Rosen, 2018, Head & neck.

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

J. Sloan, I. El Naqa, C. Mayo, 2016, International journal of radiation oncology, biology, physics.

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

P. Lambin, S. Jolly, A. Dekker, 2017, International journal of radiation oncology, biology, physics.

Revolutionizing Digital Pathology with the Power of Generative Artificial Intelligence and Foundation Models.

E. Glassy, Asim Waqas, I. E. El Naqa, 2023, Laboratory investigation; a journal of technical methods and pathology.

National Cancer Institute Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation

James Zou, Issam El Naqa, John Kang, 2020, Practical Radiation Oncology.

Big Data Analytics for Prostate Radiotherapy

Issam El Naqa, Luis Souhami, James Coates, 2016, Front. Oncol..

A deep survival interpretable radiomics model of hepatocellular carcinoma patients.

R. T. Ten Haken, I. El Naqa, T. Lawrence, 2021, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

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

Issam El-Naqa, Martin Vallières, Jan Seuntjens, 2017, Scientific Reports.

NCTN Assessment on Current Applications of Radiomics in Oncology.

M. Knopp, T. Solberg, P. Xia, 2019, International journal of radiation oncology, biology, physics.

Beyond imaging: The promise of radiomics.

I. El Naqa, M. Avanzo, J. Stancanello, 2017, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Machine learning for radiomics-based multi-modality and multi-parametric modeling.

M. Hatt, I. El Naqa, Lise Wei, 2019, The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of....

A review of explainable and interpretable AI with applications in COVID‐19 imaging

Jordan D. Fuhrman, M. Giger, Hui Li, 2021, Medical physics.

Perspectives on making big data analytics work for oncology.

I. E. El Naqa, 2016, Methods.

Radiomic and radiogenomic modeling for radiotherapy: strategies, pitfalls, and challenges

Issam El Naqa, Giacomo Pirovano, James T. T. Coates, 2021, Journal of medical imaging.

Interpretable artificial intelligence in radiology and radiation oncology

Lise Wei, D. Owen, A. Traverso, 2023, British Journal of Radiology.

A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS)

Jionghua Jin, S. Jolly, I. Dinov, 2023, Scientific Reports.

A human-in-the-loop based Bayesian network approach to improve imbalanced radiation outcomes prediction for hepatocellular cancer patients with stereotactic body radiotherapy

R. T. Ten Haken, L. Dawson, I. El Naqa, 2022, Frontiers in Oncology.

Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling

Yi Luo, Issam El Naqa, Huan-Hsin Tseng, 2019, BJR open.

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

P. Grigsby, D. Low, S. Mutic, 2008, International journal of radiation oncology, biology, physics.

Distribution of lung tissue hysteresis during free breathing.

Tianyu Zhao, Sara Wuenschel, Issam El Naqa, 2013, Medical physics.

A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features

R. Boellaard, R. Monshouwer, A. Dekker, 2021, Physics and imaging in radiation oncology.

Enhanced immune activation within the tumor microenvironment and circulation of female high-risk melanoma patients and improved survival with adjuvant CTLA4 blockade compared to males

V. Sondak, J. Kirkwood, F. Hodi, 2022, Journal of translational medicine.

What Are Machine and Deep Learning?

I. El Naqa, Martin J. Murphy, I. E. El Naqa, 2022, Machine and Deep Learning in Oncology, Medical Physics and Radiology.

Prediction of the thermal comfort indices using improved support vector machine classifiers and nonlinear kernel functions

Issam El Naqa, Ahmed Cherif Megri, A. Megri, 2016 .

Targeted Contrast Agent Helps to Monitor Advanced Plaque During Progression: A Magnetic Resonance Imaging Study in Rabbits

Jie Zheng, P. Woodard, I. El Naqa, 2008, Investigative radiology.

Heart irradiation as a risk factor for radiation pneumonitis

Issam El Naqa, J. Deasy, J. Bradley, 2011, Acta oncologica.

Radiation dose-volume effects in the lung.

M. Martel, J. Deasy, R. Timmerman, 2010, International journal of radiation oncology, biology, physics.

A nomogram to predict radiation pneumonitis, derived from a combined analysis of RTOG 9311 and institutional data.

Joseph O Deasy, Jeffrey D Bradley, Issam El Naqa, 2007, International journal of radiation oncology, biology, physics.

Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment

Noora Ba Sunbul, E. Moros, Xueding Wang, 2023, Nature Biotechnology.

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

J. Coates, N. Ybarra, I. E. El Naqa, 2014, Physiological measurement.

Interpretable artificial intelligence in radiology and radiation oncology

Lise Wei, D. Niraula, Sunan Cui, 2023, The British journal of radiology.

A miR-200 microRNA cluster as prognostic marker in advanced ovarian cancer.

Zhihui Feng, Issam M El Naqa, Xiaowei Wang, 2009, Gynecologic oncology.

PET/MRI and prostate cancer

M. Picchio, I. El Naqa, M. Piert, 2016, Clinical and Translational Imaging.

Tumor Control Probability Modeling and Systematic Review of the Literature of Stereotactic Body Radiation Therapy for Prostate Cancer.

Ronald C. Chen, E. Yorke, D. Song, 2020, International journal of radiation oncology, biology, physics.

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

J. Seuntjens, Sangkyun Lee, I. El Naqa, 2016, Applied immunohistochemistry & molecular morphology : AIMM.

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

J. Bradley, M. Vaidya, K. Creach, 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Quantitative Molecular Positron Emission Tomography Imaging Using Advanced Deep Learning Techniques.

H. Zaidi, I. El Naqa, I. E. El Naqa, 2021, Annual review of biomedical engineering.

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

Habib Zaidi, Issam El Naqa, Daniel Markel, 2013, Medical physics.

Comparative methods for PET image segmentation in pharyngolaryngeal squamous cell carcinoma

Habib Zaidi, Mehrsima Abdoli, Issam M. El Naqa, 2010, European Journal of Nuclear Medicine and Molecular Imaging.

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

Wei Lu, Joseph O Deasy, Daniel A Low, 2009, Medical physics.

Pancreatic Cyst Size Measurement on Magnetic Resonance Imaging Compared to Pathology

N. Raghunand, M. Malafa, A. Qayyum, 2024, Cancers.

Predictors of Dysgeusia in Patients With Oropharyngeal Cancer Treated With Chemotherapy and Intensity Modulated Radiation Therapy.

F. Feng, M. Schipper, I. El Naqa, 2016, International journal of radiation oncology, biology, physics.

Comparison of helical, maximum intensity projection (MIP), and averaged intensity (AI) 4D CT imaging for stereotactic body radiation therapy (SBRT) planning in lung cancer.

W. Lu, D. Low, J. Bradley, 2006, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

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

S. Jolly, R. T. Ten Haken, M. Matuszak, 2017, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Image-based modeling of normal tissue complication probability for radiation therapy.

Joseph O Deasy, Issam El Naqa, J. Deasy, 2008, Cancer treatment and research.

Quantitative assessment of coronary artery plaque vulnerability by high‐resolution magnetic resonance imaging and computational biomechanics: A pilot study ex vivo

Dalin Tang, Jie Zheng, Issam El Naqa, 2005, Magnetic resonance in medicine.

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

J. Bradley, I. El Naqa, Cylen Javidan-Nejad, 2010, Lung cancer.

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

Jeffrey D Bradley, Issam El Naqa, Jan Seuntjens, 2015, Medical physics.

Radiomics in precision medicine for lung cancer.

Issam El Naqa, Huan-Hsin Tseng, Lise Wei, 2017, Translational lung cancer research.

Overview of approaches to estimate real-world disease progression in lung cancer

Y. Balagurunathan, M. Schabath, R. Amorrortu, 2023, JNCI cancer spectrum.

Glioblastoma in children: a single-institution experience.

M. Smyth, I. El Naqa, J. Michalski, 2011, International journal of radiation oncology, biology, physics.

Development, external validation and clinical usefulness of a practical prediction model for radiation-induced dysphagia in lung cancer patients.

P. Lambin, J. Deasy, W. De Neve, 2010, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

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

Wei Lu, Joseph O Deasy, Daniel A Low, 2008, Medical physics.

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

Issam El Naqa, Jan Seuntjens, Anders Ahnesjö, 2016, Medical physics.

Modelling of Radiotherapy Response (TCP/NTCP)

I. El Naqa, S. Gulliford, I. E. El Naqa, 2022, Machine and Deep Learning in Oncology, Medical Physics and Radiology.

Retrospective monte carlo dose calculations with limited beam weight information.

J. Deasy, J. Bradley, I. El Naqa, 2006, Medical physics.

Towards Prediction of Radiation Pneumonitis Arising from Lung Cancer Patients Using Machine Learning Approaches

J. Bradley, I. E. Naqa, J. Oh, 2017, Journal of Radiation Oncology Informatics.

Bioinformatics Methods for Learning Radiation-Induced Lung Inflammation from Heterogeneous Retrospective and Prospective Data

J. Deasy, J. Bradley, I. El Naqa, 2009, Journal of Biomedicine and Biotechnology.

Prediction of Oncology Treatment Outcomes

I. El Naqa, Sunan Cui, I. E. El Naqa, 2022, Machine and Deep Learning in Oncology, Medical Physics and Radiology.

Stereotactic Body Radiation Therapy for Spinal Metastases: Tumor Control Probability Analyses and Recommended Reporting Standards.

E. Yorke, Y. Yamada, X. Li, 2021, International journal of radiation oncology, biology, physics.

Development of RTOG consensus guidelines for the definition of the clinical target volume for postoperative conformal radiation therapy for prostate cancer.

C. Ménard, A. Zietman, C. Catton, 2010, International journal of radiation oncology, biology, physics.

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

K. Langen, E. Klein, N. Dogan, 2015, International journal of radiation oncology, biology, physics.

Comparison of quantitative and qualitative scoring approaches for radiation-induced pulmonary fibrosis as applied to a preliminary investigation into the efficacy of mesenchymal stem cell delivery methods in a rat model

J. Seuntjens, Sangkyun Lee, I. El Naqa, 2021, BJR open.

AI in medical physics: guidelines for publication.

Lubomir M. Hadjiiski, J. Boone, H. Chan, 2021, Medical physics.

Dynamic stochastic deep learning approaches for predicting geometric changes in head and neck cancer

R. T. Ten Haken, I. El Naqa, M. Matuszak, 2021, Physics in medicine and biology.

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

Joseph O Deasy, Issam El Naqa, Deshan Yang, 2009, Medical physics.

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

Sasa Mutic, Joseph O Deasy, Issam El Naqa, 2011, Medical physics.