Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Fredrik Strand

Showing results (31-40 of 57) with videos related to

Pageof 6
Sort By:
BMC Nephrology|September 1, 2021
Negative effects of iodine-based contrast agent on renal function in patients with moderate reduced renal function hospitalized for COVID-19Anna Kistner, Chen Tamm, Ann Mari Svensson, et al.
JAMA Oncology|August 28, 2020
External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening MammogramsMattie Salim, Erik Wåhlin, Karin Dembrower, et al.
Radiology|June 9, 2026
Artificial Intelligence Detection Scores in Screening Mammography for Early Breast Cancer AlertsSarah Hickman, Pantelis Gialias, Haiko Schurz, et al.
Frontiers in Medicine|July 16, 2021
Widespread Parenchymal Abnormalities and Pulmonary Embolism on Contrast-Enhanced CT Predict Disease Severity and Mortality in Hospitalized COVID-19 PatientsFrancesca Campoccia Jalde, Mats O Beckman, Ann Mari Svensson, et al.
Acta Oncologica (Stockholm, Sweden)|February 25, 2026
The Stockholm Pilot study for Lung cancer Screening (Stockholm PLUS): feasibility of baseline low-dose CT lung cancer screening in a high-risk Swedish female populationOscar Grundberg, Paulina Kalinowska, Pierre Hillegren, et al.
NPJ Digital Medicine|May 9, 2025
Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB studyHaiko Schurz, Klara Solander, Davida Åström, et al.
Frontiers in Oncology|February 9, 2023
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detectionLidia Garrucho, Kaisar Kushibar, Richard Osuala, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 23, 2023
VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imagingFernando Cossío, Haiko Schurz, Mathias Engström, et al.
International Journal of Cancer|September 13, 2016
Longitudinal fluctuation in mammographic percent density differentiates between interval and screen-detected breast cancerFredrik Strand, Keith Humphreys, Mikael Eriksson, et al.
Science Translational Medicine|January 28, 2021
Toward robust mammography-based models for breast cancer riskAdam Yala, Peter G Mikhael, Fredrik Strand, et al.
Pageof 6

Showing results (31-40 of 57) with videos related to

Sort By:
Pageof 6
BMC Nephrology|September 1, 2021
Negative effects of iodine-based contrast agent on renal function in patients with moderate reduced renal function hospitalized for COVID-19Anna Kistner, Chen Tamm, Ann Mari Svensson, et al.
JAMA Oncology|August 28, 2020
External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening MammogramsMattie Salim, Erik Wåhlin, Karin Dembrower, et al.
Radiology|June 9, 2026
Artificial Intelligence Detection Scores in Screening Mammography for Early Breast Cancer AlertsSarah Hickman, Pantelis Gialias, Haiko Schurz, et al.
Frontiers in Medicine|July 16, 2021
Widespread Parenchymal Abnormalities and Pulmonary Embolism on Contrast-Enhanced CT Predict Disease Severity and Mortality in Hospitalized COVID-19 PatientsFrancesca Campoccia Jalde, Mats O Beckman, Ann Mari Svensson, et al.
Acta Oncologica (Stockholm, Sweden)|February 25, 2026
The Stockholm Pilot study for Lung cancer Screening (Stockholm PLUS): feasibility of baseline low-dose CT lung cancer screening in a high-risk Swedish female populationOscar Grundberg, Paulina Kalinowska, Pierre Hillegren, et al.
NPJ Digital Medicine|May 9, 2025
Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB studyHaiko Schurz, Klara Solander, Davida Åström, et al.
Frontiers in Oncology|February 9, 2023
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detectionLidia Garrucho, Kaisar Kushibar, Richard Osuala, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 23, 2023
VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imagingFernando Cossío, Haiko Schurz, Mathias Engström, et al.
International Journal of Cancer|September 13, 2016
Longitudinal fluctuation in mammographic percent density differentiates between interval and screen-detected breast cancerFredrik Strand, Keith Humphreys, Mikael Eriksson, et al.
Science Translational Medicine|January 28, 2021
Toward robust mammography-based models for breast cancer riskAdam Yala, Peter G Mikhael, Fredrik Strand, et al.
Pageof 6