activity
20132022
most citedDeep learning-based synthetic-CT generation in radiotherapy and PET: a review

204 citations · 268 across the 6 of their papers we have counts for

collaborators

6 papers

physics.med-ph2022

Exploration of Differentiability in a Proton Computed Tomography Simulation Framework

Max Aehle, Johan Alme, Gergely Gábor Barnaföldi +47

Objective. Algorithmic differentiation (AD) can be a useful technique to numerically optimize design and algorithmic parameters by, and quantify uncertainties in, computer simulati…

physics.med-ph2021★ 204 cited

Deep learning-based synthetic-CT generation in radiotherapy and PET: a review

Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino +1

Recently, deep learning (DL)-based methods for the generation of synthetic computed tomography (sCT) have received significant research attention as an alternative to classical one…

physics.med-ph2019

Optimal particle type and projection number in multi-modality relative stopping power acquisition

Marta F. Dias, Charles-Antoine Collins-Fekete, Lennart Volz +3

Proton radiography combined with X-ray computed tomography (CT) has been proposed to obtain a patient-specific calibration curve and reduce range uncertainties in cancer treatment…

physics.med-ph2017

Fast full-body reconstruction for a functional human RPC-PET imaging system using list-mode simulated data and its applicability to radiation oncology and radiology

Paulo Magalhaes Martins, Paulo Crespo, Miguel Couceiro +4

Single-bed whole-body positron emission tomography based on resistive plate chamber detectors (RPC-PET) has been proposed for human studies, as a complementary resource to scintill…

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…

physics.med-ph2013★ 17 cited

A Mass-Conserving 4D XCAT Phantom for Dose Calculation and Accumulation

Christopher L. Williams, Pankaj Mishra, Joao Seco +4

The XCAT phantom is a realistic 4D digital torso phantom that is widely used in imaging and therapy research. However, lung mass is not conserved between respiratory phases of the…