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Cited by in F6Publishing
For: Perslev M, Pai A, Runhaar J, Igel C, Dam EB. Cross-Cohort Automatic Knee MRI Segmentation With Multi-Planar U-Nets. J Magn Reson Imaging 2021. [PMID: 34918423 DOI: 10.1002/jmri.27978] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
Number Citing Articles
1 Dominic J, Bhaskhar N, Desai AD, Schmidt A, Rubin E, Gunel B, Gold GE, Hargreaves BA, Lenchik L, Boutin R, Chaudhari AS. Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning. Bioengineering (Basel) 2023;10. [PMID: 36829701 DOI: 10.3390/bioengineering10020207] [Reference Citation Analysis]
2 Bonaldi L, Pretto A, Pirri C, Uccheddu F, Fontanella CG, Stecco C. Deep Learning-Based Medical Images Segmentation of Musculoskeletal Anatomical Structures: A Survey of Bottlenecks and Strategies. Bioengineering (Basel) 2023;10. [PMID: 36829631 DOI: 10.3390/bioengineering10020137] [Reference Citation Analysis]
3 Sengar SS, Meulengracht C, Boesen MP, Overgaard AF, Gudbergsen H, Nybing JD, Perslev M, Dam EB. Multi‐planar 3D knee MRI segmentation via UNet inspired architectures. Int J Imaging Syst Tech 2022. [DOI: 10.1002/ima.22836] [Reference Citation Analysis]