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Vertebral fractures are a consequence of osteoporosis, with significant health implications for affected patients.
Genant, H.K., Wu, C.Y., Van Kuijk, C., Nevitt, M.C.: Vertebral fracture assessment using a semiquantitative technique. Journal of bone and mineral research 8
1993
Earlier work this paper cites.
Old, J.L., Calvert, M.: Vertebral compression fractures in the elderly. American family physician 69
2004
Earlier work this paper cites.
Wood, K.B., Li, W., Lebl, D.S., Ploumis, A.: Management of thoracolumbar spine fractures. The spine journal 14
2014
Earlier work this paper cites.
Ballane, G., Cauley, J., Luckey, M., El-Hajj Fuleihan, G.: Worldwide prevalence and incidence of osteoporotic vertebral fractures. Osteoporosis International 28
2017
Earlier work this paper cites.
Bar, A., Wolf, L., Amitai, O.B., Toledano, E., Elnekave, E.: Compression fractures detection on ct. In: Medical imaging 2017: computer-aided diagnosis. vol. 10134, pp. 1036–1043. SPIE (2017)
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
Nie, D., Trullo, R., Lian, J., Petitjean, C., Ruan, S., Wang, Q., Shen, D.: Medical image synthesis with context-aware generative adversarial networks. In: International conference on medical image computing and computer-assisted intervention. pp. 417–425. Springer (2017)
2017
Earlier work this paper cites.
Frid-Adar, M., Klang, E., Amitai, M., Goldberger, J., Greenspan, H.: Synthetic data augmentation using gan for improved liver lesion classification. In: 2018 IEEE 15th international symposium on biomedical imaging. pp. 289–293. IEEE (2018)
2018
Earlier work this paper cites.
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
Earlier work this paper cites.
2018
Earlier work this paper cites.
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 30
2019
Cited alongside, same era.
Chettrit, D., Meir, T., Lebel, H., Orlovsky, M., Gordon, R., Akselrod-Ballin, A., Bar, A.: 3d convolutional sequence to sequence model for vertebral compression fractures identification in ct. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 743–752. Springer (2020)
2020
Cited alongside, same era.
Husseini, M., Sekuboyina, A., Loeffler, M., Navarro, F., Menze, B.H., Kirschke, J.S.: Grading loss: a fracture grade-based metric loss for vertebral fracture detection. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 733–742. Springer (2020)
2020
Cited alongside, same era.
Tov, O., Alaluf, Y., Nitzan, Y., Patashnik, O., Cohen-Or, D.: Designing an encoder for stylegan image manipulation. ACM Transactions on Graphics (TOG) 40
2021
Later among the works it cites.
Xu, Y., Shen, Y., Zhu, J., Yang, C., Zhou, B.: Generative hierarchical features from synthesizing images. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4432–4442 (2021)
2021
Later among the works it cites.
Yilmaz, E.B., Buerger, C., Fricke, T., Sagar, M.M.R., Peña, J., Lorenz, C., Glüer, C.C., Meyer, C.: Automated deep learning-based detection of osteoporotic fractures in ct images. In: International Workshop on Machine Learning in Medical Imaging. pp. 376–385. Springer (2021)
2021
Later among the works it cites.
2022
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Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., Aila, T.: Analyzing and improving the image quality of stylegan. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 8110–8119 (2020)
2020
Cited alongside, same era.
Pisov, M., Kondratenko, V., Zakharov, A., Petraikin, A., Gombolevskiy, V., Morozov, S., Belyaev, M.: Keypoints localization for joint vertebra detection and fracture severity quantification. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 723–732. Springer (2020)
2020
Cited alongside, same era.
2020
Cited alongside, same era.
Liebl, H., Schinz, D., Sekuboyina, A., Malagutti, L., Löffler, M.T., Bayat, A., El Husseini, M., Tetteh, G., Grau, K., Niederreiter, E., et al.: A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data. Scientific Data 8
2021
Cited alongside, same era.
2021
Cited alongside, same era.
2021
Cited alongside, same era.
Sekuboyina, A., Husseini, M.E., Bayat, A., Löffler, M., Liebl, H., Li, H., Tetteh, G., Kukačka, J., Payer, C., Štern, D., et al.: Verse: A vertebrae labelling and segmentation benchmark for multi-detector ct images. Medical image analysis 73
2021
Cited alongside, same era.
Later among the works it cites.
Botros, M., Rutten, M., van Laarhoven, T., Lessmann, N.: A vertebral compression fracture score based on deep generative contextual modeling. In: Medical Imaging with Deep Learning (2022)
2022
Later among the works it cites.
Engstler, P., Keicher, M., Schinz, D., Mach, K., Gersing, A.S., Foreman, S.C., Goller, S.S., Weissinger, J., Rischewski, J., Dietrich, A.S., et al.: Interpretable vertebral fracture diagnosis. In: Interpretability of Machine Intelligence in Medical Image Computing: 5th International Workshop, iMIMIC 2022 Singapore, September 22, 2022, Proceedings. pp. 71–81. Springer (2022)
2022
Later among the works it cites.
Preechakul, K., Chatthee, N., Wizadwongsa, S., Suwajanakorn, S.: Diffusion autoencoders: Toward a meaningful and decodable representation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10619–10629 (2022)
2022
Later among the works it cites.
2022
Later among the works it cites.
Windsor, R., Jamaludin, A., Kadir, T., Zisserman, A.: Context-aware transformers for spinal cancer detection and radiological grading. In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part III. pp. 271–281. Springer (2022)
2022
Later among the works it cites.