AI in Surgical Robotics

Author:

Tukra Samyakh,Lidströmer Niklas,Ashrafian Hutan,Gianarrou Stamatia

Publisher

Springer International Publishing

Reference127 articles.

1. Yang GZ, Cambias J, Cleary K, Daimler E, Drake J, et al. Medical robotics – regulatory, ethical, and legal considerations for increasing levels of autonomy. Sci Robot. 2017;2:eaam8638.

2. Eigen D, Puhrsch C, Fergus R. Depth map prediction from a single image using a multi-scale deep network. In: Ghahramani Z, Welling M, Cortes C, Lawrence ND, Weinberger KQ, editors. Advances in neural information processing systems 27. Curran Associates; 2014. p. 2366–74. http://papers.nips.cc/paper/5539-depth-map-prediction-from-a-single-image-using-a-multi-scale-deep-network.pdf.

3. Cao Y ZW, Shen C. Estimating depth from monocular images as classification using deep fully convolutional residual networks; 2018. p. 3174–82. https://ieeexplore.ieee.org/document/8010878/authorsauthors

4. Fu H, Gong M, Wang C, Batmanghelich K, Tao D. Deep ordinal regression network for monocular depth estimation. In: Proceedings of CVPR. 2018. p. 2002–11.

5. Garg R, G VKB, Reid ID. Unsupervised CNN for single view depth estimation: geometry to the rescue. European Conference on Computer Vision (ECCV). 2016;abs/1603.04992. http://arxiv.org/abs/1603.04992

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