Force estimation from OCT volumes using 3D CNNs

Overview of attention for article published in International Journal of Computer Assisted Radiology and Surgery, May 2018

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In the top 25% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#15 of 944)
High Attention Score compared to outputs of the same age (84th percentile)
High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter: 5 X users

patent: 7 patents

Citations

dimensions_citation: 29 Dimensions

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mendeley: 34 Mendeley

Summary X Patents Dimensions citations

So far, Altmetric has seen 7 patents that reference this research output.

Machine-learning-based visual-haptic system for robotic surgical platforms

Grant US-11819188-B2

United States of America

Machine-learning-based visual-haptic system for robotic surgical platforms

Grant US-11576743-B2

United States of America

MACHINE-LEARNING-BASED VISUAL-HAPTIC FEEDBACK SYSTEM FOR ROBOTIC SURGICAL PLATFORMS

Application EP-3849452-A4

European Patent Office

Machine learning-based visual-haptic feedback system for robotic surgical platforms

Application CN-113164208-A

China

Machine-learning-based visual-haptic feedback system for robotic surgical platforms

Grant US-11058505-B2

United States of America

MACHINE-LEARNING-BASED VISUAL-HAPTIC FEEDBACK SYSTEM FOR ROBOTIC SURGICAL PLATFORMS

Application WO-2020055435-A1

World Intellectual Property Organisation (WIPO)

Machine-learning-based visual-haptic feedback system for robotic surgical platforms

Application US-10383694-B1

United States of America