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Mounting Evidence for Synthetic Mammography in Breast Cancer Screening

Radiology, 2020-12, Vol.297 (3), p.554-555

Lång, Kristina

2020

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The Coming of Age of Breast Tomosynthesis in Screening

Radiology, 2019-04, Vol.291 (1), p.31-33

Lång, Kristina

2019

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Identifying normal mammograms in a large screening population using artificial intelligence

European radiology, 2021-03, Vol.31 (3), p.1687-1692

2021

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Can artificial intelligence reduce the interval cancer rate in mammography screening?

European radiology, 2021-08, Vol.31 (8), p.5940-5947

2021

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Performance of one-view breast tomosynthesis as a stand-alone breast cancer screening modality: results from the Malmö Breast Tomosynthesis Screening Trial, a population-based study

European radiology, 2016-01, Vol.26 (1), p.184-190

2016

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Meta-analysis of prospective studies evaluating breast cancer detection and interval cancer rates for digital breast tomosynthesis versus mammography population screening

European journal of cancer (1990), 2021-05, Vol.148, p.14-23

2021

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Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study

The lancet oncology, 2023-08, Vol.24 (8), p.936-944

2023

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Interval Breast Cancer Rates and Tumor Characteristics in the Prospective Population-based Malmö Breast Tomosynthesis Screening Trial

Radiology, 2021-06, Vol.299 (3), p.204106-567

2021

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Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

JNCI : Journal of the National Cancer Institute, 2019-09, Vol.111 (9), p.916-922

2019

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New mode of energy metabolism in the seventh order of methanogens as revealed by comparative genome analysis of “Candidatus methanoplasma termitum”

Applied and Environmental Microbiology, 2015-02, Vol.81 (4), p.1338-1352

2015

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False-positive recalls in the prospective Malmö Breast Tomosynthesis Screening Trial

European radiology, 2023-11, Vol.33 (11), p.8089-8099

2023

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Measuring mammographic density: comparing a fully automated volumetric assessment versus European radiologists’ qualitative classification

European radiology, 2016-12, Vol.26 (12), p.4354-4360

2016

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Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings

13th International Workshop on Breast Imaging, IWDM 2016,Malmo, Sweden,2016-06-19 - 2016-06-22, 2016, Vol.9699

1st ed. 2016, 2016

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Mammographic features at primary breast cancer diagnosis in relation to recurrence-free survival

Breast (Edinburgh), 2024-06, Vol.75, p.103736-103736, Article 103736

2024

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Tumor Characteristics and Molecular Subtypes in Breast Cancer Screening with Digital Breast Tomosynthesis: The Malmö Breast Tomosynthesis Screening Trial

Radiology, 2019-11, Vol.293 (2), p.273-281

2019

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Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study

European radiology, 2019-09, Vol.29 (9), p.4825-4832

2019

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False positives in breast cancer screening with one-view breast tomosynthesis: An analysis of findings leading to recall, work-up and biopsy rates in the Malmö Breast Tomosynthesis Screening Trial

European radiology, 2016-11, Vol.26 (11), p.3899-3907

2016

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Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program

Radiology, 2022-06, Vol.303 (3), p.502-511

2022

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High-grade extracellular vesicles preparation by combined size-exclusion and affinity chromatography

Scientific reports, 2021-05, Vol.11 (1), p.10550-10550, Article 10550

2021

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Mammographic density and interval cancers in mammographic screening: Moving towards more personalized screening

Breast (Edinburgh), 2023-06, Vol.69, p.306-311

2023

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Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists

BMJ health & care informatics, 2023-05, Vol.30 (1), p.e100712

2023

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Interval and Consecutive Round Breast Cancer after Digital Breast Tomosynthesis and Synthetic 2D Mammography versus Standard 2D Digital Mammography in BreastScreen Norway

Radiology, 2020-02, Vol.294 (2), p.256-264

2020

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Baseline breast tissue characteristics determine the effect of tamoxifen on mammographic density change

International journal of cancer, 2024-07, Vol.155 (2), p.339-351

2024

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High-attenuation artifact reduction in breast tomosynthesis using a novel reconstruction algorithm

European journal of radiology, 2019-07, Vol.116, p.21-26

2019

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Mammographic calcifications undergoing percutaneous biopsy: outcome in women with and without a personal history of breast cancer

Radiologia medica, 2023-02, Vol.128 (2), p.149-159

2023

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Mounting Evidence for Synthetic Mammography in Breast Cancer Screening

The Coming of Age of Breast Tomosynthesis in Screening

Identifying normal mammograms in a large screening population using artificial intelligence

Can artificial intelligence reduce the interval cancer rate in mammography screening?

Performance of one-view breast tomosynthesis as a stand-alone breast cancer screening modality: results from the Malmö Breast Tomosynthesis Screening Trial, a population-based study

Meta-analysis of prospective studies evaluating breast cancer detection and interval cancer rates for digital breast tomosynthesis versus mammography population screening

Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study

Interval Breast Cancer Rates and Tumor Characteristics in the Prospective Population-based Malmö Breast Tomosynthesis Screening Trial

Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

New mode of energy metabolism in the seventh order of methanogens as revealed by comparative genome analysis of “Candidatus methanoplasma termitum”

False-positive recalls in the prospective Malmö Breast Tomosynthesis Screening Trial

Measuring mammographic density: comparing a fully automated volumetric assessment versus European radiologists’ qualitative classification

Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings

Mammographic features at primary breast cancer diagnosis in relation to recurrence-free survival

Tumor Characteristics and Molecular Subtypes in Breast Cancer Screening with Digital Breast Tomosynthesis: The Malmö Breast Tomosynthesis Screening Trial

Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study

False positives in breast cancer screening with one-view breast tomosynthesis: An analysis of findings leading to recall, work-up and biopsy rates in the Malmö Breast Tomosynthesis Screening Trial

Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program

High-grade extracellular vesicles preparation by combined size-exclusion and affinity chromatography

Mammographic density and interval cancers in mammographic screening: Moving towards more personalized screening

Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists

Interval and Consecutive Round Breast Cancer after Digital Breast Tomosynthesis and Synthetic 2D Mammography versus Standard 2D Digital Mammography in BreastScreen Norway

Baseline breast tissue characteristics determine the effect of tamoxifen on mammographic density change

High-attenuation artifact reduction in breast tomosynthesis using a novel reconstruction algorithm

Mammographic calcifications undergoing percutaneous biopsy: outcome in women with and without a personal history of breast cancer

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