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Current · Arkansas
Last published
2025
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
G
Ganesh Narayanasamy
Assistant Professor
Also affiliated: University of Kentucky (2011–2015); The University of Texas at San Antonio Health Science Center (2014); University of Michigan (2007–2010); University of Arkansas Medical Center (2025); Audie L. Murphy Memorial VA Hospital (2014); Michigan United (2007); Michigan Medicine (2007–2009); Winthrop Rockefeller Foundation (2022); Philips (United States) (2010); The University of Texas at San Antonio (2014)
Faculty Researcher
6 h-index
27 pubs
156 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Ganesh Narayanasamy's research focuses on the application of computational methods and advanced imaging techniques in radiation oncology. His work investigates methods to improve the accuracy and efficacy of cancer treatments, particularly for prostate and spine cancers. Narayanasamy has published research evaluating the clinical impact of dose delivery consistency in prostate cancer radiotherapy, exploring the use of convolutional neural networks for detecting vertebral body misalignments in X-ray images, and assessing the utility of normal tissue complication probability methodologies for evaluating treatment side effects.
His publications also address the computational simulation of tumor control probability in fractionated radiation treatments and comparative dosimetric analyses of different treatment planning techniques for spine stereotactic body radiation therapy (SBRT). Narayanasamy collaborates with researchers at the University of Arkansas for Medical Sciences, including Faraz Kalantari, Forouh Kalantari, and Fen Xia, with whom he has co-authored multiple publications. His scholarship metrics include an h-index of 6, with 27 total publications and 150 total citations.
Metrics
- h-index: 6
- Publications: 27
- Citations: 156
Selected Publications
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AAPM task group report 210: Conventional linear accelerator acceptance testing (2025)
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Producing high quality cranial SRS plans with 4Pi planning technique in a commercial clinical solution (2025)
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The effective normal tissue non-complication probability (E0): a probabilistic methodology in the representation of the stochastic health safety effects of low levels of ionizing radiation on the human tissues or organs (2025)
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Use of the Bayesian statistics and the product of probabilities in the ionizing radiation field (2024)
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Cleaning the dose falloff with low modulation in SBRT lung plans (2023)
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Development and multi‐institutional validation of a convolutional neural network to detect vertebral body mis‐alignments in 2D x‐ray setup images (2023)
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Use of the Bayesian statistics and the product of probabilities in the ionizing radiation field (2023)
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PO36 Presentation Time: 10:30 AM (2022)
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Evaluation of the clinical impact of the differences between planned and delivered dose in prostate cancer radiotherapy based on CT‐on‐rails IGRT and patient‐reported outcome scores (2022)
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The use of the normal tissue non-complication probability (NTCP0) in the safety evaluations as a new alternative of assessing the side-effects of the radiation oncology treatments (2022)
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A phantom-based study and clinical implementation of brainlab’s treatment planning system for radiosurgical treatments of arteriovenous malformations (2022)
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The use of the normal tissue non-complication probability (NTCP0) methodology as a new alternative of assessing side-effects in brachytherapy treatments (2022)
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A dosimetric comparative analysis of Brainlab elements and Eclipse RapidArc for spine SBRT treatment planning (2022)
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A treatment planning system with new paradigms in the effectiveness and side-effect evaluation sections (2021)
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Evaluation of the Dose Delivery Consistency and Its Dependence on Imaging Modality and Deformable Image Registration Algorithm in Prostate Cancer Patients (2021)
Collaboration Network
Top Collaborators
Anil Pyakuryal
7 shared publications
- The use of the normal tissue non-complication probability (NTCP0) methodology as a new alternative of assessing side-effects in brachytherapy treatments
- The use of the normal tissue non-complication probability (NTCP0) in the safety evaluations as a new alternative of assessing the side-effects of the radiation oncology treatments
- Computational simulator that calculates tumor control probability in a tumor heterogeneously irradiated for fractionated radiation oncology treatments
- A treatment planning system with new paradigms in the effectiveness and side-effect evaluation sections
- Use of the Bayesian statistics and the product of probabilities in the ionizing radiation field
Showing 5 of 7 shared publications
Terman Frometa-Castillo
Ohio University (US)
6 shared publications
- The use of the normal tissue non-complication probability (NTCP0) methodology as a new alternative of assessing side-effects in brachytherapy treatments
- The use of the normal tissue non-complication probability (NTCP0) in the safety evaluations as a new alternative of assessing the side-effects of the radiation oncology treatments
- Computational simulator that calculates tumor control probability in a tumor heterogeneously irradiated for fractionated radiation oncology treatments
- A treatment planning system with new paradigms in the effectiveness and side-effect evaluation sections
- Use of the Bayesian statistics and the product of probabilities in the ionizing radiation field
Showing 5 of 6 shared publications
Asghar Mesbahi
Tabriz University of Medical Sciences (IR)
5 shared publications
- The use of the normal tissue non-complication probability (NTCP0) methodology as a new alternative of assessing side-effects in brachytherapy treatments
- The use of the normal tissue non-complication probability (NTCP0) in the safety evaluations as a new alternative of assessing the side-effects of the radiation oncology treatments
- Computational simulator that calculates tumor control probability in a tumor heterogeneously irradiated for fractionated radiation oncology treatments
- A treatment planning system with new paradigms in the effectiveness and side-effect evaluation sections
- Use of the Bayesian statistics and the product of probabilities in the ionizing radiation field
Amadeo Wals-Zurita
Hospital Universitario Virgen Macarena (ES)
3 shared publications
- The use of the normal tissue non-complication probability (NTCP0) methodology as a new alternative of assessing side-effects in brachytherapy treatments
- The use of the normal tissue non-complication probability (NTCP0) in the safety evaluations as a new alternative of assessing the side-effects of the radiation oncology treatments
- Computational simulator that calculates tumor control probability in a tumor heterogeneously irradiated for fractionated radiation oncology treatments
Milan Bimali
University of Arkansas for Medical Sciences
3 shared publications
In database
- A dosimetric comparative analysis of Brainlab elements and Eclipse RapidArc for spine SBRT treatment planning
- Cleaning the dose falloff with low modulation in SBRT lung plans
- Producing high quality cranial SRS plans with 4Pi planning technique in a commercial clinical solution
Faraz Kalantari
University of Arkansas for Medical Sciences
3 shared publications
In database
- A dosimetric comparative analysis of Brainlab elements and Eclipse RapidArc for spine SBRT treatment planning
- Cleaning the dose falloff with low modulation in SBRT lung plans
- A phantom-based study and clinical implementation of brainlab’s treatment planning system for radiosurgical treatments of arteriovenous malformations
Fen Xia
University of Arkansas for Medical Sciences
3 shared publications
In database
- A dosimetric comparative analysis of Brainlab elements and Eclipse RapidArc for spine SBRT treatment planning
- A phantom-based study and clinical implementation of brainlab’s treatment planning system for radiosurgical treatments of arteriovenous malformations
- Producing high quality cranial SRS plans with 4Pi planning technique in a commercial clinical solution
Jacob Hammers
University of North Carolina at Chapel Hill (US)
2 shared publications
- Evaluation of the clinical impact of the differences between planned and delivered dose in prostate cancer radiotherapy based on CT‐on‐rails IGRT and patient‐reported outcome scores
- Evaluation of the Dose Delivery Consistency and Its Dependence on Imaging Modality and Deformable Image Registration Algorithm in Prostate Cancer Patients
Daniel Lindsay
University of North Carolina at Chapel Hill (US)
2 shared publications
- Evaluation of the clinical impact of the differences between planned and delivered dose in prostate cancer radiotherapy based on CT‐on‐rails IGRT and patient‐reported outcome scores
- Evaluation of the Dose Delivery Consistency and Its Dependence on Imaging Modality and Deformable Image Registration Algorithm in Prostate Cancer Patients
Xianming Tan
University of North Carolina Hospitals (US)
2 shared publications
- Evaluation of the clinical impact of the differences between planned and delivered dose in prostate cancer radiotherapy based on CT‐on‐rails IGRT and patient‐reported outcome scores
- Evaluation of the Dose Delivery Consistency and Its Dependence on Imaging Modality and Deformable Image Registration Algorithm in Prostate Cancer Patients
Ronald C. Chen
University of North Carolina at Chapel Hill (US)
2 shared publications
- Evaluation of the clinical impact of the differences between planned and delivered dose in prostate cancer radiotherapy based on CT‐on‐rails IGRT and patient‐reported outcome scores
- Evaluation of the Dose Delivery Consistency and Its Dependence on Imaging Modality and Deformable Image Registration Algorithm in Prostate Cancer Patients
Shiva K. Das
University of North Carolina at Chapel Hill (US)
2 shared publications
- Evaluation of the clinical impact of the differences between planned and delivered dose in prostate cancer radiotherapy based on CT‐on‐rails IGRT and patient‐reported outcome scores
- Evaluation of the Dose Delivery Consistency and Its Dependence on Imaging Modality and Deformable Image Registration Algorithm in Prostate Cancer Patients
Panayiotis Mavroidis
University of North Carolina at Chapel Hill (US)
2 shared publications
- Evaluation of the clinical impact of the differences between planned and delivered dose in prostate cancer radiotherapy based on CT‐on‐rails IGRT and patient‐reported outcome scores
- Evaluation of the Dose Delivery Consistency and Its Dependence on Imaging Modality and Deformable Image Registration Algorithm in Prostate Cancer Patients
Pouya Sabouri
University of Arkansas for Medical Sciences
2 shared publications
In database
- Cleaning the dose falloff with low modulation in SBRT lung plans
- A phantom-based study and clinical implementation of brainlab’s treatment planning system for radiosurgical treatments of arteriovenous malformations
Zhong Su
University of Arkansas for Medical Sciences
2 shared publications
In database
- A phantom-based study and clinical implementation of brainlab’s treatment planning system for radiosurgical treatments of arteriovenous malformations
- Producing high quality cranial SRS plans with 4Pi planning technique in a commercial clinical solution
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