Deep learning with 4D spatio-temporal data representations for OCT-based force estimation

Author:

Gessert NilsORCID,Bengs Marcel,Schlüter Matthias,Schlaefer Alexander

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference58 articles.

1. Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., et al., C.C., 2015. TensorFlow: Large-scale machine learning on heterogeneous systems. Software available from tensorflow.org http://tensorflow.org/.

2. A survey on deep learning based approaches for action and gesture recognition in image sequences;Asadi-Aghbolaghi,2017

3. Towards retrieving force feedback in robotic-assisted surgery: a supervised neuro-recurrent-vision approach;Aviles;IEEE Trans. Haptics,2017

4. Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery;Aviles,2015

5. 4d spatio-temporal deep learning with 4d fmri data for autism spectrum disorder classification;Bengs,2019

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