Detection of vertebral fractures in CT using 3D Convolutional Neural Networks

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Waterloo, S., Ahmed, L.A., Center, J.R., Eisman, J.A., Morseth, B., Nguyen, N.D., Nguyen, T., Sogaard, A.J., Emaus, N.: Prevalence of vertebral fractures in women and men in the population-based tromsø study. BMC musculoskeletal disorders 13

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Buckens, C.F., de Jong, P.A., Mol, C., Bakker, E., Stallman, H.P., Mali, W.P., van der Graaf, Y., Verkooijen, H.M.: Intra and interobserver reliability and agreement of semiquantitative vertebral fracture assessment on chest computed tomography. PloS one 8

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Bromiley, P.A., Kariki, E.P., Adams, J.E., Cootes, T.F.: Fully automatic localisation of vertebrae in ct images using random forest regression voting. Lecture Notes in Computer Science 10182

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Bar, A., Wolf, L., Amitai, O.B., Toledano, E., Elnekave, E.: Compression fractures detection on ct. In: SPIE Medical Imaging. pp. 1013440–1013440. International Society for Optics and Photonics (2017)

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Mader, A.O., Lorenz, C., Bergtholdt, M., von Berg, J., Schramm, H., Modersitzki, J., Meyer, C.: Detection and localization of landmarks in the lower extremities using an automatically learned conditional random field. In: Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, pp. 64–75. Springer (2017)

2017

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Tomita, N., Cheung, Y.Y., Hassanpour, S.: Deep neural networks for automatic detection of osteoporotic vertebral fractures on ct scans. Computers in biology and medicine 98

2018

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Valentinitsch, A., Trebeschi, S., Kaesmacher, J., Lorenz, C., Löffler, M., Zimmer, C., Baum, T., Kirschke, J.: Opportunistic osteoporosis screening in multi-detector ct images via local classification of textures. Osteoporosis International pp. 1–11 (2019)