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Acta Radiologica (Stockholm, Sweden : 1987)
|
December 7, 2020
Distribution of pressure on the breast in mammography using flexible and rigid compression plates: implications on patient handling
Magnus Dustler, Daniel Förnvik, Pontus Timberg, et al.
Radiation Protection Dosimetry
|
March 13, 2026
Optimisation in X-ray and molecular imaging 2025-editorial
Anja Almén, Magnus Båth, Peter Bernhardt, et al.
Radiation Protection Dosimetry
|
February 5, 2016
VALIDATION OF A SIMULATION PROCEDURE FOR GENERATING BREAST TOMOSYNTHESIS PROJECTION IMAGES
Hannie Petersson, Lucy M Warren, Anders Tingberg, et al.
Radiology. Artificial Intelligence
|
December 6, 2021
Artificial Intelligence Detection of Missed Cancers at Digital Mammography That Were Detected at Digital Breast Tomosynthesis
Victor Dahlblom, Ingvar Andersson, Kristina Lång, et al.
European Radiology
|
September 3, 2020
Identifying normal mammograms in a large screening population using artificial intelligence
Kristina Lång, Magnus Dustler, Victor Dahlblom, et al.
Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research
|
June 7, 2026
Cost-effectiveness of Artificial Intelligence in Breast Cancer Screening: An Ethical Perspective on a Complex Issue
Magnus Dustler, Simon Rosenqvist, Johan Brännmark, et al.
Radiation Protection Dosimetry
|
March 13, 2026
Comparison between the results of simulated mechanical imaging on software breast phantom and in vivo measurements
John-Henry Markbo, Predrag R Bakic, Hanna Isaksson, et al.
European Journal of Radiology
|
June 3, 2019
High-attenuation artifact reduction in breast tomosynthesis using a novel reconstruction algorithm
Magnus Dustler, Julia Wicklein, Hannie Förnvik, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
July 26, 2024
Estimation of the absorbed dose in simultaneous digital breast tomosynthesis and mechanical imaging
Anna Bjerkén, Hanna Tomic, Sophia Zackrisson, et al.
Frontiers in Oncology
|
July 25, 2024
Preoperative prediction of nodal status using clinical data and artificial intelligence derived mammogram features enabling abstention of sentinel lymph node biopsy in breast cancer
Cornelia Rejmer, Looket Dihge, Pär-Ola Bendahl, et al.
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of 5
Search research articles
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Showing results (11-20 of 41) with videos related to
Sort By:
Page
of 5
Acta Radiologica (Stockholm, Sweden : 1987)
|
December 7, 2020
Distribution of pressure on the breast in mammography using flexible and rigid compression plates: implications on patient handling
Magnus Dustler, Daniel Förnvik, Pontus Timberg, et al.
Radiation Protection Dosimetry
|
March 13, 2026
Optimisation in X-ray and molecular imaging 2025-editorial
Anja Almén, Magnus Båth, Peter Bernhardt, et al.
Radiation Protection Dosimetry
|
February 5, 2016
VALIDATION OF A SIMULATION PROCEDURE FOR GENERATING BREAST TOMOSYNTHESIS PROJECTION IMAGES
Hannie Petersson, Lucy M Warren, Anders Tingberg, et al.
Radiology. Artificial Intelligence
|
December 6, 2021
Artificial Intelligence Detection of Missed Cancers at Digital Mammography That Were Detected at Digital Breast Tomosynthesis
Victor Dahlblom, Ingvar Andersson, Kristina Lång, et al.
European Radiology
|
September 3, 2020
Identifying normal mammograms in a large screening population using artificial intelligence
Kristina Lång, Magnus Dustler, Victor Dahlblom, et al.
Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research
|
June 7, 2026
Cost-effectiveness of Artificial Intelligence in Breast Cancer Screening: An Ethical Perspective on a Complex Issue
Magnus Dustler, Simon Rosenqvist, Johan Brännmark, et al.
Radiation Protection Dosimetry
|
March 13, 2026
Comparison between the results of simulated mechanical imaging on software breast phantom and in vivo measurements
John-Henry Markbo, Predrag R Bakic, Hanna Isaksson, et al.
European Journal of Radiology
|
June 3, 2019
High-attenuation artifact reduction in breast tomosynthesis using a novel reconstruction algorithm
Magnus Dustler, Julia Wicklein, Hannie Förnvik, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
July 26, 2024
Estimation of the absorbed dose in simultaneous digital breast tomosynthesis and mechanical imaging
Anna Bjerkén, Hanna Tomic, Sophia Zackrisson, et al.
Frontiers in Oncology
|
July 25, 2024
Preoperative prediction of nodal status using clinical data and artificial intelligence derived mammogram features enabling abstention of sentinel lymph node biopsy in breast cancer
Cornelia Rejmer, Looket Dihge, Pär-Ola Bendahl, et al.
Page
of 5