Robot-Assisted Medical Imaging

AIM AND SCOPE

Medical imaging plays a vital role in modern clinical practice, which provides valuable information to physicians for medical diagnosis, image-guided surgeries, etc. The use of a robot acquires images and enables the controlled trajectory of the imaging system with high precision and reproducibility. Due to the boom of machine learning, the development of autonomous imaging systems gained increasing attention recently. To develop intelligent systems that robustly work in unknown environments, fundamental research continues to emerge, investigating novel approaches of visual seroving, share-control, object segmentation, scene understanding, and learning from experts' experiences.


The aim of this workshop is to bring together active research groups and clinicians, sharing the latest technological achievements in the field of robot-assisted medical imaging. By gathering world-class technical and clinical researchers, the meaningful discussion on the remaining challenges beyond technical developments like ethical issues and clinical acceptance will also be discussed during the one-day workshop.

TOPICS OF INTEREST

Important dates

Plan to solicit participation


Multidisciplinary target audiences are students, researchers, companies, and clinicians interested in the application of robot-assist medical imaging (ultrasound, endoscopic, CT, MRI, photoacoustic, etc.). To attract more participants and advertise it well among the community, we will actively share the updates and progress of this workshop on social media platforms. In addition, the involvement of clinicians and industry in this workshop makes it also interesting for entrepreneurs and clinicians. Also, the RAS technical committee of surgical robotics would also help us to advertise the workshop once it is accepted. 


Registration

IEEE/RAS TC SUPPORT

This proposed workshop is endorsed by the following IEEE RAS Technical Committees:

Program

ORGANIZERS

Zhongliang Jiang (Contact person, zl.jiang@tum.de) Technical University of Munich, Germany


Hongen Liao (liao@tsinghua.edu.cn) Tsinghua University, China

Septimiu E. Salcudean (tims@ece.ubc.ca) University of British Columbia, Canada

Nassir Navab (nassir.navab@tum.de) Technical University of Munich, Germany


Student Organizers

Dianye Huang, Technical University of Munich, Germany

Guochen Ning, Tsinghua University, China


Location:

ExCeL London, Royal Victoria Dock, 1 Western Gateway, London E16 1XL

South Gallery Room 25 

Contact: