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Fredrik Strand

Showing results (21-30 of 57) with videos related to

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PLOS Digital Health|September 22, 2025
Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracyArianna Bunnell, Dustin Valdez, Fredrik Strand, et al.
Radiology|December 18, 2019
Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk PredictionKarin Dembrower, Yue Liu, Hossein Azizpour, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|March 29, 2020
The association between breast cancer risk factors and background parenchymal enhancement at dynamic contrast-enhanced breast MRIRoxanna Hellgren, Ariel Saracco, Fredrik Strand, et al.
Medical Image Analysis|September 8, 2024
Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architecturesFrancesco Manigrasso, Rosario Milazzo, Alessandro Sebastian Russo, et al.
Breast Cancer Research : BCR|January 24, 2019
Localized mammographic density is associated with interval cancer and large breast cancer: a nested case-control studyFredrik Strand, Edward Azavedo, Roxanna Hellgren, et al.
Journal of the National Comprehensive Cancer Network : JNCCN|February 15, 2023
Factors Associated With False-Positive Recalls in Mammography ScreeningXinhe Mao, Wei He, Keith Humphreys, et al.
Physics in Medicine and Biology|November 12, 2025
RADIFUSION: a multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinementHong Hui Yeoh, Andrea Liew, Raphaël Phan, et al.
The Lancet. Digital Health|December 17, 2020
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation studyKarin Dembrower, Erik Wåhlin, Yue Liu, et al.
Breast Cancer Research : BCR|April 20, 2018
Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screeningFredrik Strand, Keith Humphreys, Johanna Holm, et al.
Breast Cancer Research : BCR|October 8, 2016
Novel mammographic image features differentiate between interval and screen-detected breast cancer: a case-case studyFredrik Strand, Keith Humphreys, Abbas Cheddad, et al.
Pageof 6

Showing results (21-30 of 57) with videos related to

Sort By:
Pageof 6
PLOS Digital Health|September 22, 2025
Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracyArianna Bunnell, Dustin Valdez, Fredrik Strand, et al.
Radiology|December 18, 2019
Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk PredictionKarin Dembrower, Yue Liu, Hossein Azizpour, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|March 29, 2020
The association between breast cancer risk factors and background parenchymal enhancement at dynamic contrast-enhanced breast MRIRoxanna Hellgren, Ariel Saracco, Fredrik Strand, et al.
Medical Image Analysis|September 8, 2024
Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architecturesFrancesco Manigrasso, Rosario Milazzo, Alessandro Sebastian Russo, et al.
Breast Cancer Research : BCR|January 24, 2019
Localized mammographic density is associated with interval cancer and large breast cancer: a nested case-control studyFredrik Strand, Edward Azavedo, Roxanna Hellgren, et al.
Journal of the National Comprehensive Cancer Network : JNCCN|February 15, 2023
Factors Associated With False-Positive Recalls in Mammography ScreeningXinhe Mao, Wei He, Keith Humphreys, et al.
Physics in Medicine and Biology|November 12, 2025
RADIFUSION: a multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinementHong Hui Yeoh, Andrea Liew, Raphaël Phan, et al.
The Lancet. Digital Health|December 17, 2020
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation studyKarin Dembrower, Erik Wåhlin, Yue Liu, et al.
Breast Cancer Research : BCR|April 20, 2018
Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screeningFredrik Strand, Keith Humphreys, Johanna Holm, et al.
Breast Cancer Research : BCR|October 8, 2016
Novel mammographic image features differentiate between interval and screen-detected breast cancer: a case-case studyFredrik Strand, Keith Humphreys, Abbas Cheddad, et al.
Pageof 6