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Hilde Bosmans

Showing results (131-140 of 155) with videos related to

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Medical Physics|July 13, 2023
Technical note: Realization and uncertainty analysis for an adjustable 3D structured breast phantom in digital breast tomosynthesisElisabeth Salomon, Ewald Unger, Peter Homolka, et al.
Physics in Medicine and Biology|February 6, 2025
Impact of pectoral muscle removal on deep-learning-based breast cancer risk predictionZan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Radiology|September 30, 2005
Effect of vascular targeting agent in rat tumor model: dynamic contrast-enhanced versus diffusion-weighted MR imagingHarriet C Thoeny, Frederik De Keyzer, Vincent Vandecaveye, et al.
Physics in Medicine and Biology|April 25, 2015
Comparison of digital breast tomosynthesis and 2D digital mammography using a hybrid performance testLesley Cockmartin, Nicholas W Marshall, Chantal Van Ongeval, et al.
Physics in Medicine and Biology|April 7, 2025
Sensitivity of a deep-learning-based breast cancer risk prediction modelZan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
JHLT Open|May 7, 2026
Ultra-high resolution photon-counting CT of the lung after lung transplantation: should we go for optimal image quality or reduced radiation dose?Adriana Dubbeldam, Valerie Van Ballaer, Johny Verschakelen, et al.
Physics in Medicine and Biology|December 11, 2024
Longitudinal interpretability of deep learning based breast cancer risk predictionZan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
European Radiology|May 13, 2014
Impact of the digitalisation of mammography on performance parameters and breast dose in the Flemish Breast Cancer Screening ProgrammeLore Timmermans, An De Hauwere, Klaus Bacher, et al.
The Lancet. Oncology|October 30, 2025
Abdominal shielding not recommended for diagnostic imaging with ionising radiation during pregnancyCharlotte L LeJeune, Stéphanie Nougaret, Rodrigo T Massera, et al.
Physics in Medicine and Biology|May 3, 2023
Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropoutZan Klanecek, Tobias Wagner, Yao-Kuan Wang, et al.
Pageof 16

Showing results (131-140 of 155) with videos related to

Sort By:
Pageof 16
Medical Physics|July 13, 2023
Technical note: Realization and uncertainty analysis for an adjustable 3D structured breast phantom in digital breast tomosynthesisElisabeth Salomon, Ewald Unger, Peter Homolka, et al.
Physics in Medicine and Biology|February 6, 2025
Impact of pectoral muscle removal on deep-learning-based breast cancer risk predictionZan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Radiology|September 30, 2005
Effect of vascular targeting agent in rat tumor model: dynamic contrast-enhanced versus diffusion-weighted MR imagingHarriet C Thoeny, Frederik De Keyzer, Vincent Vandecaveye, et al.
Physics in Medicine and Biology|April 25, 2015
Comparison of digital breast tomosynthesis and 2D digital mammography using a hybrid performance testLesley Cockmartin, Nicholas W Marshall, Chantal Van Ongeval, et al.
Physics in Medicine and Biology|April 7, 2025
Sensitivity of a deep-learning-based breast cancer risk prediction modelZan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
JHLT Open|May 7, 2026
Ultra-high resolution photon-counting CT of the lung after lung transplantation: should we go for optimal image quality or reduced radiation dose?Adriana Dubbeldam, Valerie Van Ballaer, Johny Verschakelen, et al.
Physics in Medicine and Biology|December 11, 2024
Longitudinal interpretability of deep learning based breast cancer risk predictionZan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
European Radiology|May 13, 2014
Impact of the digitalisation of mammography on performance parameters and breast dose in the Flemish Breast Cancer Screening ProgrammeLore Timmermans, An De Hauwere, Klaus Bacher, et al.
The Lancet. Oncology|October 30, 2025
Abdominal shielding not recommended for diagnostic imaging with ionising radiation during pregnancyCharlotte L LeJeune, Stéphanie Nougaret, Rodrigo T Massera, et al.
Physics in Medicine and Biology|May 3, 2023
Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropoutZan Klanecek, Tobias Wagner, Yao-Kuan Wang, et al.
Pageof 16