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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: 15
- Publications: 138
- Citations: 872
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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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)
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Output factor measurements with multiple detectors in CyberKnife® Robotic Radiosurgery System (2021)
Collaboration Network
Top Collaborators
Anil Pyakuryal
University of the District of Columbia (US)
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
- Use of the Bayesian statistics and the product of probabilities in the ionizing radiation field
Asghar Mesbahi
Tabriz University of Medical Sciences (IR)
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
- Use of the Bayesian statistics and the product of probabilities in the ionizing radiation field
Terman Frometa-Castillo
2 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
Amadeo Wals-Zurita
Hospital Universitario Virgen Macarena (ES)
2 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
Caleb Nissen
Winthrop Rockefeller Foundation
1 shared publication
In database
- An Analysis of Risk Factors for Radiation Necrosis Following Cranial Radiation
Binwu Ying
Winthrop Rockefeller Foundation (US)
1 shared publication
- An Analysis of Risk Factors for Radiation Necrosis Following Cranial Radiation
Madison Newkirk
Winthrop Rockefeller Foundation (US)
1 shared publication
- An Analysis of Risk Factors for Radiation Necrosis Following Cranial Radiation
Gary F. Lewis
Winthrop Rockefeller Foundation (US)
1 shared publication
- An Analysis of Risk Factors for Radiation Necrosis Following Cranial Radiation
Fen Xia
Winthrop Rockefeller Foundation
1 shared publication
In database
- An Analysis of Risk Factors for Radiation Necrosis Following Cranial Radiation
Jacob Hammers
University of North Carolina at Chapel Hill (US)
1 shared publication
- 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
Daniel Lindsay
University of North Carolina at Chapel Hill (US)
1 shared publication
- 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
Shivani Sud
University of North Carolina at Chapel Hill (US)
1 shared publication
- 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
Xianming Tan
University of North Carolina Hospitals (US)
1 shared publication
- 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
John Dooley
University of North Carolina at Chapel Hill (US)
1 shared publication
- 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
Lawrence B. Marks
University of North Carolina at Chapel Hill (US)
1 shared publication
- 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
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