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Challenges in the Design of Laparoscopic Tools.

, , , and . ROBOT (2), volume 418 of Advances in Intelligent Systems and Computing, page 463-475. Springer, (2015)

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Automatic and robust single-camera specular highlight removal in cardiac images., , , , and . EMBC, page 675-678. IEEE, (2015)On Genetic Algorithms Optimization for Heart Motion Compensation., and . ROBOT (1), volume 252 of Advances in Intelligent Systems and Computing, page 237-244. Springer, (2013)Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach., , , and . IEEE Trans. Haptics, 10 (3): 431-443 (2017)Unconstrained ℓ1 - regularized minimization with interpolated transformations for heart motion compensation., , and . EMBC, page 5109-5112. IEEE, (2014)A Deep-Neuro-Fuzzy approach for estimating the interaction forces in Robotic surgery., , , , and . FUZZ-IEEE, page 1113-1119. IEEE, (2016)Challenges in the Design of Laparoscopic Tools., , , and . ROBOT (2), volume 418 of Advances in Intelligent Systems and Computing, page 463-475. Springer, (2015)Robust Cardiac Motion Estimation using Ultrafast Ultrasound Data: A Low-Rank-Topology-Preserving Approach., , , , and . CoRR, (2016)Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery., , , and . NER, page 86-89. IEEE, (2015)Escaping specularity: recovering specular-free video sequences from rank-constrained data., , , and . SIGGRAPH Posters, page 78:1-78:2. ACM, (2017)Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images., , , , and . EMBC, page 1196-1199. IEEE, (2016)