5 citations · 8 across the 10 of their papers we have counts for
11 papers
Gold nanorod radioenhancement: interpreting Monte Carlo dose enhancement across geometry, composition, coating, and localization
Ali Taheri, Hans Rabus, Mayeen Uddin Khandaker +2
Nanoparticle radiosensitization depends on interconnected NP properties, yet geometry, elemental composition, surface coating, and localization are typically studied separately, wi…
Prediction of biological radiation effects based on ionization clusters (nanodosimetry)
Hans Rabus
This article reviews approaches that link the formation of ionization clusters in nanometric volumes to radiobiological effectiveness. The corresponding models were developed as th…
Active learning-based variance reduction for Monte Carlo simulations: A feasibility study for the nanodosimetry around a gold nanoparticle
Leo Thomas, Miriam Schwarze, Hans Rabus
Objective: This work presents a data-driven importance sampling-based variance reduction (VR) scheme inspired by active learning. The method is applied to the estimation of an opti…
Cluster Dose Prediction in Carbon Ion Therapy: Using Transfer Learning from a Pretrained Dose Prediction U-Net
Miriam Schwarze, Hui Khee Looe, Björn Poppe +2
The cluster dose concept offers an alternative to the radiobiological effectiveness (RBE)-based model for describing radiation-induced biological effects. This study examines the a…
Cross-Section-Based Scaling Method for Material-Specific Cluster Dose Calculations -- A Proof of Concept
Miriam Schwarze, Hui Khee Looe, Björn Poppe +2
Cross-section data unavailability for non-water materials in track structure simulation software necessitates nanodosimetric quantity transformation from water to other materials.…
Exploring Machine Learning Models for Physical Dose Calculation in Carbon Ion Therapy Using Heterogeneous Imaging Data -- A Proof of Concept Study
Miriam Schwarze, Hui Khee Looe, Björn Poppe +3
Background: Accurate and fast dose calculation is essential for optimizing carbon ion therapy. Existing machine learning (ML) models have been developed for other radiotherapy moda…
Do cell culturing influence the radiosensitizing effect of gold nanoparticles part 2: scrutinizing the methodology producing recent evidence
Hans Rabus, Oswald Msosa Mkanda
When irradiation is performed with gold nanoparticles (AuNPs), a different shape of cells in suspension or adherent to walls may result in different probability of cell survival. I…
Do cell culturing influence the radiosensitizing effect of gold nanoparticles part 1: scrutinizing recent evidence for data consistency
Hans Rabus, Oswald Msosa Mkanda
In radiobiological experiments, the cells can either float in suspension or adhere to the walls of the sample holder. When irradiation is performed in the presence of dose modifyin…
Impact of metal nanoparticles on cell survival predicted by the local effect model for cells in suspension and tissue. Part 1: Theoretical framework
Hans Rabus, Leo Thomas
This work investigates the change in cell survival predicted by the local effect model (LEM) for an irradiated cell containing metal nanoparticles (MNPs) depending on the distribut…
On a revised concept of an event that allows linking nanodosimetry and microdosimetry in nanometric sites with macroscopic dosimetry
Hans Rabus, Leo Thomas
This work reviews the concepts of an event used in micro- and nanodosimetry and analyzes how single event distributions could theoretically be derived from probability distribution…
Comment on "Investigation of the anisotropic distribution of microdosimetric quantities in the vicinity of X-ray-irradiated gold nanoparticles" by Derrien et al. [Radiation Physics and Chemistry 213, 111232 (2023)]
Hans Rabus
In their recent article, Derrien et al. (Derrien et al., 2023) study the anisotropy of microdosimetric quantities for spherical sites of several sizes placed around spherical gold…