activity
20202026
most citedThe Generalized Stochastic Microdosimetric Model: the main formulation

21 citations · 27 across the 11 of their papers we have counts for

collaborators

12 papers

physics.ins-det2026

Measurements of the micro-spill structure of medical cyclotron and synchrotron beams and its impact on pulse pileup

Matthias Knopf, Simon Waid, Stefan Gundacker +10

Detector characterization and instrumentation testing are often performed at cyclotron and synchrotron facilities, many of which were originally developed for medical applications…

physics.med-ph2026

Mechanistic driven TCP and NTCP modeling for particle therapy accounting for a broad range of physical irradiation parameters and tissue environmental conditions

Marco Battestini, Jules Morand, Giulio Bordieri +3

In conventional radiotherapy, the probability of controlling tumor growth is quantified using Tumor Control Probability (TCP) models. Instead, the probability of experiencing a sid…

physics.bio-ph2026

A stochastic agent-based extension of the GSM2 model for particle therapy: cell-cycle dynamics, dose-rate dependence, and fractionation effects

Francesco G. Cordoni, Marco Battestini, Marta Missiaggia

Accurately linking microscopic energy deposition from ionizing radiation to emergent biological outcomes remains a central challenge in radiobiological modelling, particularly when…

physics.bio-ph2026

One scale to rule them all: interpretable multi-scale Deep Learning for predicting cell survival after proton and carbon ion irradiation

Giulio Bordieri, Giorgio Cartechini, Anna Bianchi +4

The relationship between the physical characteristics of the radiation field and biological damage is central to both radiotherapy and radioprotection, yet the link between spatial…

physics.med-ph2026

A combined dose and microdosimetric modeling framework incorporating volume effects correlates with tissue sparing in proton minibeam radiotherapy

Giulio Bordieri, Marco Battestini, Gianluca Lattanzi +4

Proton minibeam (pMB) radiotherapy, delivers highly heterogeneous dose distributions alternating high-dose peaks and low-dose valleys. This aims to widen the therapeutic window by…

physics.med-ph2025★ 2 cited

Machine Learning-based beam delivery time model for Mevion 250i with Hyperscan technology

Giorgio Cartechini, Francesco Giuseppe Cordoni, Mirko Unipan +1

Purpose: Accurate prediction of beam delivery time (BDT) is essential for operational efficiency, 4D dose calculations, and advanced proton therapy techniques. Despite its importan…

physics.bio-ph2025

Integrating nano- and micrometer-scale energy deposition models for mechanistic prediction of radiation-induced DNA damage and cell survival

Giulio Bordieri, Marta Missiaggia, Gianluca Lattanzi +3

We present an integrated modeling framework that combines the Generalized Stochastic Microdosimetric Model (GSM2), used to predict cell survival fractions, with MINAS-TIRITH, a fas…

cs.CL2025

Hallucination Detection in LLMs with Topological Divergence on Attention Graphs

Alexandra Bazarova, Andrei Volodichev, Aleksandr Yugay +10

Hallucination, i.e., generating factually incorrect content, remains a critical challenge for large language models (LLMs). We introduce TOHA, a TOpology-based HAllucination detect…

physics.bio-ph2024

A multiscale radiation biophysical stochastic model describing the cell survival response at ultra-high dose rate

Marco Battestini, Marta Missiaggia, Sara Bolzoni +2

Ultra-high dose-rate (UHDR) radiotherapy, characterized by an extremely high radiation delivery rate, represents one of the most recent and promising frontier in radiotherapy. UHDR…

physics.bio-ph2020★ 21 cited

The Generalized Stochastic Microdosimetric Model: the main formulation

F. Cordoni, M. Missiaggia, A. Attili +3

The present work introduces a rigorous stochastic model, named Generalized Stochastic Microdosimetric Model (GSM2), to describe biological damage induced by ionizing radiation. Sta…

physics.ins-det2020★ 2 cited

A novel hybrid microdosimeter for radiation field characterization based on TEPC detector and LGADs tracker: a feasibility study

M. Missiaggia, E. Pierobon, M. Castelluzzo +11

In microdosimetry, lineal energies y are calculated from energy depositions inside the microdosimeter divided by the mean chord length, whose value is based on geometrical assu…

physics.med-ph2020★ 2 cited

Linking microdosimetric measurements to biological effectiveness: a review of theoretical aspects of MKM and other models

V. E. Bellinzona, F. Cordoni, M. Missiaggia +4

Different qualities of radiation are known to cause different biological effects at the same absorbed dose. Enhancements of the biological effectiveness are a direct consequence of…