 Monte Carlo Method
"Monte Carlo Method" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
In statistics, a technique for numerically approximating the solution of a mathematical problem by studying the distribution of some random variable, often generated by a computer. The name alludes to the randomness characteristic of the games of chance played at the gambling casinos in Monte Carlo. (From Random House Unabridged Dictionary, 2d ed, 1993)
| Descriptor ID |
D009010
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| MeSH Number(s) |
E05.318.740.525 L01.906.575.422 N05.715.360.750.540 N06.850.520.830.525
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Monte Carlo Method".
Below are MeSH descriptors whose meaning is more specific than "Monte Carlo Method".
This graph shows the total number of publications written about "Monte Carlo Method" by people in UAMS Profiles by year, and whether "Monte Carlo Method" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
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| 2023 | 0 | 1 | 1 | | 2021 | 2 | 1 | 3 | | 2020 | 2 | 5 | 7 | | 2019 | 1 | 0 | 1 | | 2018 | 1 | 4 | 5 | | 2017 | 0 | 7 | 7 | | 2016 | 3 | 3 | 6 | | 2015 | 0 | 3 | 3 | | 2014 | 1 | 1 | 2 | | 2013 | 1 | 3 | 4 | | 2012 | 3 | 4 | 7 | | 2011 | 0 | 2 | 2 | | 2010 | 0 | 3 | 3 | | 2009 | 1 | 3 | 4 | | 2008 | 0 | 5 | 5 | | 2007 | 0 | 2 | 2 | | 2006 | 1 | 1 | 2 | | 2005 | 0 | 4 | 4 | | 2004 | 0 | 2 | 2 | | 2001 | 0 | 2 | 2 | | 2000 | 0 | 1 | 1 | | 1999 | 0 | 1 | 1 | | 1997 | 0 | 2 | 2 | | 1996 | 0 | 1 | 1 | | 1995 | 0 | 1 | 1 | | 1993 | 0 | 1 | 1 |
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Below are the most recent publications written about "Monte Carlo Method" by people in Profiles over the past ten years.
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Malekzadeh E, Rajabi H, Tajik-Mansoury MA, Sabouri P, Fiorina E, Kalantari F. Design and performance evaluation of a slit-slat camera for 2D prompt gamma imaging in proton therapy monitoring: A Monte Carlo simulation study. Med Phys. 2023 Jun; 50(6):3701-3718.
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Manavalan M, Durai M, Narayanasamy G, Stathakis S, Godson HF, Subramani V. Output factor measurements with multiple detectors in CyberKnife? Robotic Radiosurgery System. J Cancer Res Ther. 2021 Jul-Sep; 17(4):870-874.
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Rembish J, Myers P, Saenz D, Kirby N, Papanikolaou N, Stathakis S. Effects of varying statistical uncertainty using a Monte Carlo based treatment planning system for VMAT. J BUON. 2021 Jul-Aug; 26(4):1683.
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Chatzipapas KP, Papadimitroulas P, Loudos G, Papanikolaou N, Kagadis GC. IDDRRA: A novel platform, based on Geant4-DNA to quantify DNA damage by ionizing radiation. Med Phys. 2021 May; 48(5):2624-2636.
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Schmitz ML, Rubino CM, Onufrak NJ, Martinez DV, Licursi D, Karpf A, Cetnarowski W. Pharmacokinetics and Optimal Dose Selection of Cefazolin for Surgical Prophylaxis of Pediatric Patients. J Clin Pharmacol. 2021 05; 61(5):666-676.
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Zhang H, Wu X, Zhang X, Chang SX, Megooni A, Donnelly ED, Ahmed MM, Griffin RJ, Welsh JS, Simone CB, Mayr NA. Photon GRID Radiation Therapy: A Physics and Dosimetry White Paper from the Radiosurgery Society (RSS) GRID/LATTICE, Microbeam and FLASH Radiotherapy Working Group. Radiat Res. 2020 12 01; 194(6):665-677.
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Patel L, Shukla T, Huang X, Ussery DW, Wang S. Machine Learning Methods in Drug Discovery. Molecules. 2020 Nov 12; 25(22).
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Rembish J, Myers P, Kirby N, Saenz D, Rasmussen K, Crownover R, Papanikolaou N, Stathakis S. An evaluation of Pencil Beam vs Monte Carlo calculations for intracranial stereotactic radiosurgery. J BUON. 2020 Nov-Dec; 25(6):2731-2736.
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Omyan G, Gholami S, Zad AG, Severgnini M, Longo F, Kalantari F. Monte Carlo simulation and analytical calculation methods to investigate the potential of nanoparticles for INTRABEAM? IORT machine. Nanomedicine. 2020 11; 30:102288.
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Smith AK, Ropella GEP, McGill MR, Krishnan P, Dutta L, Kennedy RC, Jaeschke H, Hunt CA. Contrasting model mechanisms of alanine aminotransferase (ALT) release from damaged and necrotic hepatocytes as an example of general biomarker mechanisms. PLoS Comput Biol. 2020 06; 16(6):e1007622.
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Tang J, Landes RD. Some t-tests for N-of-1 trials with serial correlation. PLoS One. 2020; 15(2):e0228077.
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Parenica HM, Mavroidis P, Jones W, Swanson G, Papanikolaou N, Stathakis S. VMAT Optimization and Dose Calculation in the Presence of Metallic Hip Prostheses. Technol Cancer Res Treat. 2019 Jan-Dec; 18:1533033819892255.
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Chatzipapas KP, Papadimitroulas P, Obeidat M, McConnell KA, Kirby N, Loudos G, Papanikolaou N, Kagadis GC. Quantification of DNA double-strand breaks using Geant4-DNA. Med Phys. 2019 Jan; 46(1):405-413.
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Parenica HM, Ford JR, Mavroidis P, Li Y, Papanikolaou N, Stathakis S. Treatment planning dose accuracy improvement in the presence of dental implants. Med Dosim. 2019 Summer; 44(2):159-166.
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Chao M, Wei J, Narayanasamy G, Yuan Y, Lo YC, Pe?agar?cano JA. Three-dimensional cluster formation and structure in heterogeneous dose distribution of intensity modulated radiation therapy. Radiother Oncol. 2018 May; 127(2):197-205.
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Shrestha D, Qin N, Zhang Y, Kalantari F, Niu S, Jia X, Pompos A, Jiang S, Wang J. Iterative reconstruction with boundary detection for carbon ion computed tomography. Phys Med Biol. 2018 02 26; 63(5):055002.
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Gupta P, Rettiganti M, Wilcox A, Vuong-Dac MA, Gossett JM, Imamura M, Chakraborty A. An Empirically Derived Pediatric Cardiac Inotrope Score Associated With Pediatric Heart Surgery. Semin Thorac Cardiovasc Surg. 2018; 30(1):62-68.
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Narayanasamy G, Saenz DL, Defoor D, Papanikolaou N, Stathakis S. Dosimetric validation of Monaco treatment planning system on an Elekta VersaHD linear accelerator. J Appl Clin Med Phys. 2017 Nov; 18(6):123-129.
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Gupta P, Chakraborty A, Gossett JM, Rettiganti M. A prognostic tool to predict outcomes in children undergoing the Norwood operation. J Thorac Cardiovasc Surg. 2017 12; 154(6):2030-2037.e2.
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Rajan PV, Qudsi RA, Wolf LL, Losina E. Cost-Effectiveness Analyses in Orthopaedic Surgery: Raising the Bar. J Bone Joint Surg Am. 2017 07 05; 99(13):e71.
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Fallahpoor M, Abbasi M, Kalantari F, Parach AA, Sen A. Practical Nuclear Medicine and Utility of Phantoms for Internal Dosimetry: XCAT Compared with Zubal. Radiat Prot Dosimetry. 2017 Apr 25; 174(2):191-197.
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Fallahpoor M, Abbasi M, Asghar Parach A, Kalantari F. The importance of BMI in dosimetry of 153Sm-EDTMP bone pain palliation therapy: A Monte Carlo study. Appl Radiat Isot. 2017 06; 124:1-6.
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Fallahpoor M, Abbasi M, Parach AA, Kalantari F. Internal dosimetry for radioembolization therapy with Yttrium-90 microspheres. J Appl Clin Med Phys. 2017 Mar; 18(2):176-180.
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Zhang F, Flaherty P. Variational inference for rare variant detection in deep, heterogeneous next-generation sequencing data. BMC Bioinformatics. 2017 Jan 19; 18(1):45.
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Hammond DA, Kathe N, Shah A, Martin BC. Cost-Effectiveness of Histamine2 Receptor Antagonists Versus Proton Pump Inhibitors for Stress Ulcer Prophylaxis in Critically Ill Patients. Pharmacotherapy. 2017 01; 37(1):43-53.
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Paudel NR, Shvydka D, Parsai EI. Thin-film CdTe detector for microdosimetric study of radiation dose enhancement at gold-tissue interface. J Appl Clin Med Phys. 2016 09 08; 17(5):500-508.
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Gilboa SM, Devine OJ, Kucik JE, Oster ME, Riehle-Colarusso T, Nembhard WN, Xu P, Correa A, Jenkins K, Marelli AJ. Congenital Heart Defects in the United States: Estimating the Magnitude of the Affected Population in 2010. Circulation. 2016 Jul 12; 134(2):101-9.
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Pokhrel D, Sood S, Badkul R, Jiang H, McClinton C, Lominska C, Kumar P, Wang F. Assessment of Monte Carlo algorithm for compliance with RTOG 0915 dosimetric criteria in peripheral lung cancer patients treated with stereotactic body radiotherapy. J Appl Clin Med Phys. 2016 05 08; 17(3):277-293.
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Pokhrel D, McClinton C, Sood S, Badkul R, Saleh H, Jiang H, Lominska C. Monte Carlo evaluation of tissue heterogeneities corrections in the treatment of head and neck cancer patients using stereotactic radiotherapy. J Appl Clin Med Phys. 2016 03 08; 17(2):258-270.
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Stathakis S, Balbi F, Chronopoulos AT, Papanikolaou N. Monte Carlo modeling of linear accelerator using distributed computing. J BUON. 2016 Jan-Feb; 21(1):252-60.
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Leroux S, Turner MA, Guellec CB, Hill H, van den Anker JN, Kearns GL, Jacqz-Aigrain E, Zhao W. Pharmacokinetic Studies in Neonates: The Utility of an Opportunistic Sampling Design. Clin Pharmacokinet. 2015 Dec; 54(12):1273-85.
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La Rosa PS, Brooks TL, Deych E, Shands B, Prior F, Larson-Prior LJ, Shannon WD. Gibbs distribution for statistical analysis of graphical data with a sample application to fcMRI brain images. Stat Med. 2016 Feb 20; 35(4):566-80.
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Schmitz ML, Blumer JL, Cetnarowski W, Rubino CM. Determination of appropriate weight-based cutoffs for empiric cefazolin dosing using data from a phase 1 pharmacokinetics and safety study of cefazolin administered for surgical prophylaxis in pediatric patients aged 10 to 12 years. Antimicrob Agents Chemother. 2015 Jul; 59(7):4173-80.
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Zhao W, Hill H, Le Guellec C, Neal T, Mahoney S, Paulus S, Castellan C, Kassai B, van den Anker JN, Kearns GL, Turner MA, Jacqz-Aigrain E. Population pharmacokinetics of ciprofloxacin in neonates and young infants less than three months of age. Antimicrob Agents Chemother. 2014 Nov; 58(11):6572-80.
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