Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software
Reference82 articles.
1. Drenkow, N., Sani, N., Shpitser, I. & Unberath, M. Robustness in deep learning for computer vision: mind the gap? Preprint at https://arxiv.org/abs/2112.00639 (2021).
2. Taori, R. et al. Measuring robustness to natural distribution shifts in image classification. Preprint at https://arxiv.org/abs/2007.00644 (2020).
3. Mahmood, F. & Durr, N. J. Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy. Med. Image Anal. 48, 230–243 (2018).
4. Gu, W., Gao, C., Grupp, R., Fotouhi, J. & Unberath, M. Extended capture range of rigid 2D/3D registration by estimating riemannian pose gradients. In International Workshop on Machine Learning in Medical Imaging 281–291 (Springer, 2020).
5. Bier, B. et al. Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views. Int. J. Comput. Assist. Radiol. Surg. 14, 1463–1473 (2019).
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