output
20032025
most citedMetrics reloaded: Recommendations for image analysis validation

469 citations

Showing physics.med-phShow all

6 papers · 1 filter

physics.med-ph2025

An ion treatment planning framework for inclusion of nanodosimetric ionization detail through cluster dose

Simona Facchiano, Ramon Ortiz, Remo Cristoforetti +4

Nanodosimetry relates Ionization Detail (ID) and ionization parameters (Ip) to biological endpoints relevant for charged-particle radiotherapy. This supports a more physics-based m…

physics.med-ph2025★ 19 cited

SynthRAD2025 Grand Challenge dataset: generating synthetic CTs for radiotherapy

Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon +16

Medical imaging is essential in modern radiotherapy, supporting diagnosis, treatment planning, and monitoring. Synthetic imaging, particularly synthetic computed tomography (sCT),…

physics.med-ph2019

Navigated interventions in the head and neck area: standardized assessment of a new handy field generator

Benjamin J. Mittmann, Alexander Seitel, Lena Maier-Hein +1

Electromagnetic (EM) tracking enables localization of surgical instruments within the magnetic field emitted by an EM field generator (FG). Usually, the larger a FG is, the larger…

physics.med-ph2019★ 30 cited

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks

Tim J. Adler, Lynton Ardizzone, Anant Vemuri +8

Purpose: Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to addres…

physics.med-ph2019

An open-source software platform for translational photoacoustic research and its application to motion-corrected blood oxygenation estimation

Thomas Kirchner, Janek Gröhl, Franz Sattler +4

Photoacoustic (PA) imaging systems based on clinical linear ultrasound arrays have become increasingly popular in translational PA research. Such systems can be more easily integra…

physics.med-ph2016★ 47 cited

A theoretical framework to predict the most likely ion path in particle imaging

Charles-Antoine Collins-Fekete, Lennart Volz, Stephen K. N. Portillo +2

In this work, a generic rigorous Bayesian formalism is introduced to predict the most likely path of any ion crossing a medium between two detection points. The path is predicted b…