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A Deep-Neuro-Fuzzy approach for estimating the interaction forces in Robotic surgery.

, , , , и . FUZZ-IEEE, стр. 1113-1119. IEEE, (2016)

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Chester Avilés

Bernardo Avilés

Sonia Avilés Paredes

Denis Lucy Avilés Irahola

Angelica Wegener

 

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Robust Cardiac Motion Estimation using Ultrafast Ultrasound Data: A Low-Rank-Topology-Preserving Approach., , , , и . CoRR, (2016)Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery., , , и . NER, стр. 86-89. IEEE, (2015)Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data., , , и . EMBC, стр. 1082-1086. IEEE, (2016)Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images., , , , и . EMBC, стр. 1196-1199. IEEE, (2016)Exploring the effects of dimensionality reduction in deep networks for force estimation in robotic-assisted surgery., , , и . Medical Imaging: Image-Guided Procedures, том 9786 из SPIE Proceedings, стр. 97861X. SPIE, (2016)Escaping specularity: recovering specular-free video sequences from rank-constrained data., , , и . SIGGRAPH Posters, стр. 78:1-78:2. ACM, (2017)Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach., , , и . IEEE Trans. Haptics, 10 (3): 431-443 (2017)Automatic and robust single-camera specular highlight removal in cardiac images., , , , и . EMBC, стр. 675-678. IEEE, (2015)Unconstrained ℓ1 - regularized minimization with interpolated transformations for heart motion compensation., , и . EMBC, стр. 5109-5112. IEEE, (2014)On Genetic Algorithms Optimization for Heart Motion Compensation., и . ROBOT (1), том 252 из Advances in Intelligent Systems and Computing, стр. 237-244. Springer, (2013)