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20162025
most citedAn expanded evaluation of protein function prediction methods shows an improvement in accuracy

457 citations

Showing physics.med-phShow all

6 papers · 1 filter

physics.med-ph2024★ 5 cited

In vivo exposure of the bladder using a non-invasive high intensity focused ultrasound toroidal transducer

Victor Delattre, Sophie Cambronero, Yao Chen +5

A toroidal high-intensity focused ultrasound (HIFU) transducer was used to expose normal bladder wall tissues non-invasively in vivo in a porcine model in order to investigate the…

physics.med-ph2022★ 5 cited

Novel ion imaging concept based on time-of-flight measurements with low gain avalanche detectors

Felix Ulrich-Pur, Thomas Bergauer, Albert Hirtl +4

Treatment planning in ion beam therapy requires accurate knowledge of the relative stopping power (RSP) distribution within the patient. Currently, RSP maps are obtained via conven…

physics.med-ph2021★ 19 cited

Feasibility study of a proton CT system based on 4D-tracking and residual energy determination via time-of-flight

Felix Ulrich-Pur, Thomas Bergauer, Alexander Burker +5

For dose calculations in ion beam therapy, it is vital to accurately determine the relative stopping power (RSP) distribution within the treated volume. Currently, RSP values are e…

physics.med-ph2020★ 23 cited

Ultra-fast prompt gamma detection in single proton counting regime for range monitoring in particle therapy

S. Marcatili, J. Collot, S. Curtoni +12

In order to fully exploit the ballistic potential of particle therapy, we propose an online range monitoring concept based on high-resolution Time-Of-Flight (TOF)-resolved Prompt G…

physics.med-ph2019★ 6 cited

Capturing the shear and secondary compression wave: High frame rate ultrasound imaging in saturated foams

Johannes Aichele, Bruno Giammarinaro, Michael Reinwald +2

We experimentally observe the shear and secondary compression wave inside soft porous water-saturated melamine foams by high frame rate ultrasound imaging. Both wave speeds are sup…

physics.med-ph2019★ 34 cited

Generative Adversarial Networks (GAN) for compact beam source modelling in Monte Carlo simulations

David Sarrut, Nils Krah, Jean-Michel Létang

A method is proposed and evaluated to model large and inconvenient phase space files used in Monte Carlo simulations by a compact Generative Adversarial Network (GAN). The GAN is t…