Martin Lillholm
Copenhagen, Denmark
Last Updated: 09/26/2026
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Found 25 publications
Introduction of one-view tomosynthesis in population-based mammography screening: Impact on detection rate, interval cancer rate and false-positive rate.
Journal: Journal of medical screening
Published: July 25, 2024
Clinical Significance of Combined Density and Deep-Learning-Based Texture Analysis for Stratifying the Risk of Short-Term and Long-Term Breast Cancer in Screening.
Journal: Diagnostics (Basel, Switzerland)
Published: July 04, 2024
Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer.
Journal: Radiology
Published: June 04, 2024
Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture.
Journal: Radiology
Published: August 29, 2023
Identifying recurrent breast cancer patients in national health registries using machine learning.
Journal: Acta oncologica (Stockholm, Sweden)
Published: April 19, 2023
Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk.
Journal: Journal of medical imaging (Bellingham, Wash.)
Published: January 13, 2023
Breast density and risk of breast cancer.
Journal: International journal of cancer
Published: May 31, 2022
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients.
Journal: Scientific reports
Published: October 07, 2020
Impact of adding breast density to breast cancer risk models: A systematic review.
Journal: European journal of radiology
Published: February 06, 2020
Sensitivity of screening mammography by density and texture: a cohort study from a population-based screening program in Denmark.
Journal: Breast cancer research : BCR
Published: November 27, 2018
Change in mammographic density across birth cohorts of Dutch breast cancer screening participants.
Journal: International journal of cancer
Published: November 06, 2018
Last Updated: 09/26/2026