Research output per year
Research output per year
Search results
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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
Vilmun, B. M., Napolitano, G., Lauritzen, A., Lynge, E., Lillholm, M., Nielsen, M. B. & Vejborg, I., 21 Aug 2024, In: Diagnostics. 14, 16, 1823.Research output: Contribution to journal › Journal article › Research › peer-review
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Introduction of one-view tomosynthesis in population-based mammography screening: Impact on detection rate, interval cancer rate and false-positive rate
Vilmun, B. M., Napolitano, G., Lillholm, M., Winkel, R. R., Lynge, E., Nielsen, M., Nielsen, M. B., Carlsen, J. F., von Euler-Chelpin, M. & Vejborg, I., 25 Jul 2024, (E-pub ahead of print) In: Journal of Medical Screening. p. 9691413241262259Research output: Contribution to journal › Journal article › Research › peer-review
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2020
Impact of adding breast density to breast cancer risk models: A systematic review
Vilmun, B. M., Vejborg, I., Lynge, E., Lillholm, M., Nielsen, M., Nielsen, M. B. & Carlsen, J. F., Jun 2020, In: European Journal of Radiology. 127, p. 109019Research output: Contribution to journal › Review › peer-review
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2019
The Performance of Deep Learning Algorithms on Automatic Pulmonary Nodule Detection and Classification Tested on Different Datasets That Are Not Derived from LIDC-IDRI: A Systematic Review
Li, D., Mikela Vilmun, B., Frederik Carlsen, J., Albrecht-Beste, E., Ammitzbøl Lauridsen, C., Bachmann Nielsen, M. & Lindskov Hansen, K., 29 Nov 2019, In: Diagnostics. 9, 4, p. e207 diagnostics9040207.Research output: Contribution to journal › Review › peer-review
46 Citations (Scopus)