CRAS 2020 Barcelona

The 10th Edition of the Conference on New Technologies for Computer and Robot Assisted Surgery (CRAS)

CRAS 2020 is the 10th edition of this successful event, formerly labeled as a workshop, from this 10th edition onwards CRAS has graduated and will continue to move forward as a`conference’.

Surgical robotics is a key factor for the introduction of new surgical procedures not feasible otherwise, as well as for improving current procedures by providing new assistive tools that allow achieving more precision and higher surgical performances.

Robotics breaks into the Operating Room in an effective way in the XXI century and its progress, although still slow, has already reached a figure of 10.000 operation robots in hospitals worldwide. This year’s edition, coinciding with the CRAS 10th anniversary, will evidence an explosion of new surgical robots and other devices in different specialties, which, until now, were produced by very few manufacturers. This market expansion will break with the otherwise slow progress and will favor reaching a wider range of clinical centers.

In this edition communications are expected on advances in the following fields: virtual and augmented reality techniques applied to training, planning and assisted guidance; new techniques to introduce effective haptic feedback; new devices, technologies and procedures for less invasive surgery and to facilitate the execution of complex surgical tasks; and artificial intelligence for planning, guidance and autonomous operations.

IMPORTANT DATES

Deadline for extended abstracts: 30 June 2020

Notification of acceptance: 31 July 2020

Deadline for submission of revised abstracts 14 September 2020

For information and application visit the official web site of CRAS 2020

Topics of Submission

Extended abstracts (2 pages) discussing new technologies for computer/robot assisted surgery are solicited. Topics of interest include (but are not limited to) the following:

– Machine learning and cognitive surgical robotics
– Registration, segmentation, modelling and data mining
– Synergies and clustering
– Motion compensation and active guidance
– Human-robot collaboration and shared control
– Workflow analysis and episode segmentation
– Surgical skill assessment
– Usability and user-acceptance
– Robotics in medical diagnosis
– Robotic systems in orthopedics
– Rehabilitation and assistive technologies

– Surgical training
– Tactile and haptic feedback
– Novel robotic hardware and sensors
– Variable stiffness robotic systems
– Interventional catheters
– Novel instruments and interfaces
– Standardization and regulation
– System integration
– Safety and dependability
– Robotics in Radiology
– Visionary works and roadmaps

European Machine Vision Forum

Third European Machine Vision Forum

Where research meets industry

The European Machine Vision Forum is a new annual event of the European Machine Vision Association (EMVA). The aim is to foster interaction between the machine vision industry and academic research to learn from each other, discuss the newest research results as well as problems from applications, learn about emerging application fields, and to discuss research cooperation between industry and academic institutes. The overall aim is to accelerate innovation by translating new re­search results faster into practice.

Many conferences target either academic researchers or applied industrial developers. However, on the European level, there is no forum where research and industry can meet and network. Thus, the European Machine Vision Forum fills an important gap — building on the still continuing 20years success story of the Heidelberger Bildverarbeitungsforum (www.bv-forum.de) in Germany.

The venue for the annual event changes every year to a different location in line with the selected focal topic of the respective forum. In this way, regular participants get the benefit of becoming acquainted with major research and industrial centers in machine vision throughout Europe.

 

Francesco Setti, Ph.D. Assistant Professor (RTD-a) at the Department of Computer Science University of Verona, will present SARAS’ Poster