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Connection

Ganesh Narayanasamy to Lung Neoplasms

This is a "connection" page, showing publications Ganesh Narayanasamy has written about Lung Neoplasms.

 
Connection Strength
 
 
 
0.989
 
  1. Narayanasamy G, Desai D, Morrill S, Zhang X, Galhardo E, Maraboyina S, Penagaricano J. Technical Note: A planning technique to lower normal tissue toxicity in lung SBRT plans based on two likely dependent RTOG metrics. Med Phys. 2018 May; 45(5):2325-2328.
    View in: PubMed
    Score: 0.404
  2. Boria AJ, Narayanasamy G, Bimali M, Maraboyina S, Kalantari F, Sabouri P, Su Z. Cleaning the dose falloff with low modulation in SBRT lung plans. Biomed Phys Eng Express. 2023 05 04; 9(4).
    View in: PubMed
    Score: 0.144
  3. Desai D, Narayanasamy G, Bimali M, Cordrey I, Elasmar H, Srinivasan S, Johnson EL. Cleaning the dose falloff in lung SBRT plan. J Appl Clin Med Phys. 2021 Jan; 22(1):100-108.
    View in: PubMed
    Score: 0.122
  4. Stathakis S, Narayanasamy G, Licon AL, Myers P, Li Y, Crownover R, Papanikolaou N. A dosimetric comparison between volumetric-modulated arc therapy and dynamic conformal arc therapy in SBRT. J BUON. 2019 Mar-Apr; 24(2):838-843.
    View in: PubMed
    Score: 0.108
  5. Zhang X, Rong Y, Morrill S, Fang J, Narayanasamy G, Galhardo E, Maraboyina S, Croft C, Xia F, Penagaricano J. Robust optimization in lung treatment plans accounting for geometric uncertainty. J Appl Clin Med Phys. 2018 May; 19(3):19-26.
    View in: PubMed
    Score: 0.101
  6. Zhang X, Penagaricano J, Narayanasamy G, Corry P, Liu T, Sanjay M, Paudel N, Morrill S. Helical tomotherapy to LINAC plan conversion utilizing RayStation Fallback planning. J Appl Clin Med Phys. 2017 Jan; 18(1):178-185.
    View in: PubMed
    Score: 0.093
  7. Stathakis S, Mavroidis P, Shi C, Xu J, Kauweloa KI, Narayanasamy G, Papanikolaou N. ?+ index: A new evaluation parameter for quantitative quality assurance. Comput Methods Programs Biomed. 2014 Apr; 114(1):60-9.
    View in: PubMed
    Score: 0.019
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.