The Monte Carlo Method as a Tool to Build up Predictive QSPR/QSAR.
Toropov AA, Toropova AP.
Curr Comput Aided Drug Des. 2020;16(3):197-206. doi: 10.2174/1573409915666190328123112.
Hamiltonian Monte Carlo method for estimating variance components.
Arakawa A, Hayashi T, Taniguchi M, Mikawa S, Nishio M.
Anim Sci J. 2021 Jan-Dec;92(1):e13575. doi: 10.1111/asj.13575.
Application of the Monte Carlo Method for the Prediction of Behavior of Peptides.
Toropova AP, Toropov AA.
Curr Protein Pept Sci. 2019;20(12):1151-1157. doi: 10.2174/1389203720666190123163907.
Adaptive stochastic Gauss-Newton method with optical Monte Carlo for quantitative photoacoustic tomography.
Hänninen N, Pulkkinen A, Arridge S, Tarvainen T.
J Biomed Opt. 2022 Apr;27(8):083013. doi: 10.1117/1.JBO.27.8.083013.
Markov chain quasi-Monte Carlo method for forecasting fire hotspots in Sarawak, Malaysia.
Zakaria NN, Daud H, Sokkalingam R, Othman M, Abdul Kadir E, Mohd Aris MN, Muhammad N, Maharani W.
Environ Sci Pollut Res Int. 2024 Jul;31(35):48608-48619. doi: 10.1007/s11356-024-34409-0. Epub 2024 Jul 22.
A Monte Carlo method to assess the spectral performance of photon counting detectors.
Stierstorfer K, Hupfer M.
Med Phys. 2025 Mar;52(3):1515-1525. doi: 10.1002/mp.17577. Epub 2024 Dec 11.
Perturbation Monte Carlo Method for Quantitative Photoacoustic Tomography.
Leino AA, Lunttila T, Mozumder M, Pulkkinen A, Tarvainen T.
IEEE Trans Med Imaging. 2020 Oct;39(10):2985-2995. doi: 10.1109/TMI.2020.2983129. Epub 2020 Mar 24.
An efficient quasi-Monte Carlo method with forced fixed detection for photon scatter simulation in CT.
Lin G, Deng S, Wang X.
PLoS One. 2023 Aug 24;18(8):e0290266. doi: 10.1371/journal.pone.0290266. eCollection 2023.
Drug Metabolism as an Object of Computational Analysis by the Monte Carlo Method.
Toropova MA.
Curr Drug Metab. 2017;18(12):1123-1131. doi: 10.2174/1389200218666171010124733.
The Monte Carlo method.
METROPOLIS N, ULAM S.
J Am Stat Assoc. 1949 Sep;44(247):335-41. doi: 10.1080/01621459.1949.10483310.
