AIMC Topic: Monte Carlo Method
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Evaluation of coseismic landslide susceptibility by combining Newmark model and XGBoost algorithm.
PloS one
Aug 11, 2025
Coseismic landslides are among the most perilous geological disasters in hilly places after earthquakes. Precise assessment of coseismic landslide susceptibility is crucial for forecasting the effects of landslides and alleviating subsequent tragedie...
Last vertex splitting: a new retroactive Monte Carlo splitting technique applied to LINAC out-of-field dose computation.
Physics in medicine and biology
Aug 1, 2025
We propose a new variance reduction technique called last vertex splitting (LVS) designed to reduce computation time in Monte Carlo (MC) simulations for particles traversing high-attenuating media, such as the collimator and other beam-limiting devic...
Video-based pupillometry using Fourier Mellin image correlation.
Scientific reports
Jul 18, 2025
We introduce a novel method for evaluating the pupil light reflex (PLR) response using digital video recordings. Expensive, specialized devices are replacing traditional penlight tests in emergency and neurotrauma departments, but they are not widely...
ComptoNet: a Compton-map guided deep learning framework for multi-scatter estimation in multi-source stationary CT.
Physics in medicine and biology
Jul 16, 2025
Multi-source stationary computed tomography (MSS-CT) offers significant advantages in medical and industrial applications due to its gantryless scan architecture and capability of simultaneous multi-source emission. However, the lack of anti-scatter ...
AI-enhanced patient-specific dosimetry in I-131 planar imaging with a single oblique view.
Scientific reports
Jul 8, 2025
This study aims to enhance the dosimetry accuracy in I planar imaging by utilizing a single oblique view and Monte Carlo (MC) validated dose point kernels (DPKs) alongside the integration of artificial intelligence (AI) for accurate dose prediction w...
optiGAN: a deep learning-based alternative to optical photon tracking in Python-based GATE (10+).
Physics in medicine and biology
Jul 2, 2025
To accelerate optical photon transport simulations in the GATE medical physics framework using a generative adversarial network (GAN), while ensuring high modeling accuracy. Traditionally, detailed optical Monte Carlo methods have been the gold stand...
Edaphic and meteorological parameters as determinants of radon exhalation and its environmental implication in Peruvian agroecosystems.
Scientific reports
Jul 1, 2025
Radon exhalation is a natural process by which atoms of the radioactive gas radon diffuse in the soil and then exhale to an indoor and/or outdoor environment. High radon concentration levels, possibly from high radon exhalation rate levels, can gener...
Enhancing image quality in fast neutron-based range verification of proton therapy using a deep learning-based prior in LM-MAP-EM reconstruction.
Physics in medicine and biology
Jun 17, 2025
This study investigates the use of list-mode (LM) maximum(MAP) expectation maximization (EM) incorporating prior information predicted by a convolutional neural network for image reconstruction in fast neutron (FN)-based proton therapy range verifica...
Towards large nuclear imaging system optical simulations with optiGAN, a generative adversarial network.
Physics in medicine and biology
Jun 9, 2025
Optical Monte Carlo (MC) simulations are essential for modeling light transport in radiation detectors used in nuclear imaging and high-energy physics. However, full-system simulations remain computationally prohibitive due to the need to track optic...
Molecular Optimization Based on a Monte Carlo Tree Search and Multiobjective Genetic Algorithm.
Journal of chemical information and modeling
Jun 2, 2025
In the realm of medicinal chemistry, the predominant challenge in molecular design lies in managing extensive molecular data sets and effectively screening for, as well as preserving, molecules with potential value. Traditional methodologies typicall...
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