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Esther Bär

Showing results (1-10 of 16) with videos related to

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Medical Physics|July 29, 2017
A Bayesian approach to solve proton stopping powers from noisy multi-energy CT dataArthur Lalonde, Esther Bär, Hugo Bouchard
Medical Physics|June 4, 2020
Electron density and effective atomic number estimation in a maximum a posteriori framework for dual-energy computed tomographyMikaël Simard, Esther Bär, Danis Blais, et al.
Physics in Medicine and Biology|September 6, 2018
The impact of dual- and multi-energy CT on proton pencil beam range uncertainties: a Monte Carlo studyArthur Lalonde, Mikaël Simard, Charlotte Remy, et al.
Physics in Medicine and Biology|July 13, 2018
Optimized I-values for use with the Bragg additivity rule and their impact on proton stopping power and range uncertaintyEsther Bär, Pedro Andreo, Arthur Lalonde, et al.
Physics in Medicine and Biology|December 23, 2022
A probability model for anatomical robust optimisation in head and neck cancer proton therapyYing Zhang, Jailan Alshaikhi, Wenyong Tan, et al.
Physics in Medicine and Biology|March 12, 2021
Statistical limitations in ion imagingCharles-Antoine Collins-Fekete, Nikolaos Dikaios, Esther Bär, et al.
Medical Physics|March 16, 2017
The potential of dual-energy CT to reduce proton beam range uncertaintiesEsther Bär, Arthur Lalonde, Gary Royle, et al.
Zeitschrift Fur Medizinische Physik|July 7, 2015
The application of metal artifact reduction (MAR) in CT scans for radiation oncology by monoenergetic extrapolation with a DECT scannerAndrea Schwahofer, Esther Bär, Stefan Kuchenbecker, et al.
Physics in Medicine and Biology|October 24, 2017
Extension of the Fermi-Eyges most-likely path in heterogeneous medium with prior knowledge informationCharles-Antoine Collins-Fekete, Esther Bär, Lennart Volz, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|June 6, 2022
Improving workflow for adaptive proton therapy with predictive anatomical modelling: A proof of conceptYing Zhang, Jailan Alshaikhi, Richard A Amos, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Medical Physics|July 29, 2017
A Bayesian approach to solve proton stopping powers from noisy multi-energy CT dataArthur Lalonde, Esther Bär, Hugo Bouchard
Medical Physics|June 4, 2020
Electron density and effective atomic number estimation in a maximum a posteriori framework for dual-energy computed tomographyMikaël Simard, Esther Bär, Danis Blais, et al.
Physics in Medicine and Biology|September 6, 2018
The impact of dual- and multi-energy CT on proton pencil beam range uncertainties: a Monte Carlo studyArthur Lalonde, Mikaël Simard, Charlotte Remy, et al.
Physics in Medicine and Biology|July 13, 2018
Optimized I-values for use with the Bragg additivity rule and their impact on proton stopping power and range uncertaintyEsther Bär, Pedro Andreo, Arthur Lalonde, et al.
Physics in Medicine and Biology|December 23, 2022
A probability model for anatomical robust optimisation in head and neck cancer proton therapyYing Zhang, Jailan Alshaikhi, Wenyong Tan, et al.
Physics in Medicine and Biology|March 12, 2021
Statistical limitations in ion imagingCharles-Antoine Collins-Fekete, Nikolaos Dikaios, Esther Bär, et al.
Medical Physics|March 16, 2017
The potential of dual-energy CT to reduce proton beam range uncertaintiesEsther Bär, Arthur Lalonde, Gary Royle, et al.
Zeitschrift Fur Medizinische Physik|July 7, 2015
The application of metal artifact reduction (MAR) in CT scans for radiation oncology by monoenergetic extrapolation with a DECT scannerAndrea Schwahofer, Esther Bär, Stefan Kuchenbecker, et al.
Physics in Medicine and Biology|October 24, 2017
Extension of the Fermi-Eyges most-likely path in heterogeneous medium with prior knowledge informationCharles-Antoine Collins-Fekete, Esther Bär, Lennart Volz, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|June 6, 2022
Improving workflow for adaptive proton therapy with predictive anatomical modelling: A proof of conceptYing Zhang, Jailan Alshaikhi, Richard A Amos, et al.
Pageof 2