GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation - researchr publication authors

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Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei 0001, Kilian M. Pohl, Ehsan Adeli Mosabbeb. GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. In Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li 0001, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VIII. Volume 13438 of Lecture Notes in Computer Science, pages 130-139, Springer, 2022. [doi]

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