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Challenges in the Design of Laparoscopic Tools.

J. Amat, A. Casals, E. Bergés, and A. Avilés. ROBOT (2), volume 418 of Advances in Intelligent Systems and Computing, page 463-475. Springer, (2015)

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I. Steinwart

I. Dudic

Cheng-I Ho University of Stuttgart

D. Inkermann

Tobias Ilg University of Stuttgart

Other publications of authors with the same name

Automatic and robust single-camera specular highlight removal in cardiac images.S. Alsaleh, A. Avilés, P. Sobrevilla, A. Casals, and J. Hahn. EMBC, page 675-678. IEEE, (2015)On Genetic Algorithms Optimization for Heart Motion Compensation.A. Avilés, and A. Casals. 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.A. Avilés, S. Alsaleh, J. Hahn, and A. Casals. IEEE Trans. Haptics, 10 (3): 431-443 (2017)Unconstrained ℓ1 - regularized minimization with interpolated transformations for heart motion compensation.A. Avilés, P. Sobrevilla, and A. Casals. EMBC, page 5109-5112. IEEE, (2014)A Deep-Neuro-Fuzzy approach for estimating the interaction forces in Robotic surgery.A. Avilés, S. Alsaleh, E. Montseny, P. Sobrevilla, and A. Casals. FUZZ-IEEE, page 1113-1119. IEEE, (2016)Challenges in the Design of Laparoscopic Tools.J. Amat, A. Casals, E. Bergés, and A. Avilés. 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.A. Avilés, T. Widlak, A. Casals, M. Nillesen, and H. Ammari. CoRR, (2016)Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data.A. Avilés, T. Widlak, A. Casals, and H. Ammari. EMBC, page 1082-1086. IEEE, (2016)Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images.S. Alsaleh, A. Avilés, P. Sobrevilla, A. Casals, and J. Hahn. EMBC, page 1196-1199. IEEE, (2016)Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery.A. Avilés, S. Alsaleh, P. Sobrevilla, and A. Casals. NER, page 86-89. IEEE, (2015)