Robotics and Vision in Medicine Lab @rvimlab

We are the Robotics and Vision in Medicine Lab. We design and develop image-guided microsurgical robots for regenerative therapy delivery @KingsImaging. rvim.online London, England Joined July 2017

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Biomedical Engineering & Imaging Sciences @KingsImaging

2 years ago

Success for Black Engineers is a King’s College London Engineering programme designed to support aspiring Black engineers at school and university. Hear from PhD student Shaheim Ogbomo-Harmitt about his experience. Find out more about the programme: kcl.ac.uk/bmeis/blackeng…

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S.M.Hadi Sadati, PhD @SMHadiSadati

2 years ago

Panel discussion of our @ieee_ras_icra workshop on "#Growing #Robots" by @BarbaraMazzolai, Allison Okamura, @katzschmann, Laura Blumenschin, hosted by @taniamorimoto Stay tuned for the @MathWorks' poster prizes 🎊 @KingsImaging @rvimlab

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Christos Bergeles / Χρήστος Μπεργελές @bergeles

2 years ago

Thank you for the invitation to present MAMMOBOT! The project would not have started if not for the sandpit of @CRUKresearch and @EPSRC on robotic tech for early cancer detection in 2019. Looking forward to building on our results and moving the project forward.

Science and Innovation at Cancer Research UK @CRUKresearch

2 years ago

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IEEE ICRA @ieee_ras_icra

2 years ago

#ICRA2023 will host 12 robotics competitions in areas including humanoid robots, mobile robots, legged robots, robot manipulation and grasping, aerial vehicles, and important topics such as ethics. Some are still open for registration! Check details here icra2023.org/competitions

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Biomedical Engineering & Imaging Sciences @KingsImaging

2 years ago

Join our Summer Workshop on Surgical & Interventional Engineering 👩‍💻 Ideal for those working on industrial, academic or clinical R&D environments: -roboticists -optics engineers -computer scientists -clinical research fellows Find out more: kcl.ac.uk/short-courses/…

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Robotics and Vision in Medicine Lab @rvimlab

3 years ago

Zicong from our team ready to demonstrate our soft growing robot to the public.

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Jorge Cardoso @mjorgecardoso

3 years ago

Want to do a industry-funded PhD on active learning and human-AI interaction, aiming to improve medical imaging data labelling? Apply below (international applicants, deadline 1st March) Joint with @SiemensHealth & building on @ProjectMONAI Label kcl.ac.uk/study-legacy/f…

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Robotics and Vision in Medicine Lab @rvimlab

3 years ago

Congratulations to the team for this achievement! What began as a “this can be a quick win” ended up a full year of development and experimentation, leading to one of the first physics based models of ever soon growing robots.

S.M.Hadi Sadati, PhD @SMHadiSadati

3 years ago

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Robotics and Vision in Medicine Lab @rvimlab

3 years ago

Our research is so advanced that it breaks the AI.

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Biomedical Engineering & Imaging Sciences @KingsImaging

3 years ago

Apply now for our fully funded PhD studentships with #SurgeryCDT for a 1st Feb 2023 start. Further details: surgerycdt.com/how-to-apply Applications close: 20th Nov 2022 #phd #phdopportunity #phdposition

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Qiao Gu @qiaogu1997

3 years ago

Join our Toronto AIR Seminar on 10/24 at 10:30 am E.T. to hear @SMHadiSadati’s recent work, Reinventing Catheters by Soft Robotics: Robotics Thrombectomy for Acute Stroke!! More info: robotics.cs.toronto.edu/toronto-air/ Zoom: utoronto.zoom.us/j/82119478610

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Biomedical Engineering & Imaging Sciences @KingsImaging

3 years ago

And that's a wrap! With over 100 volunteers over 3 days and 15 interactive demonstrations, our Hospital of the Future was an overwhelming success for all visitors to New Scientist Live 2022 -- the first live show since 2019! kcl.ac.uk/news/heartwarm… #healthcare #technology

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Biomedical Engineering & Imaging Sciences @KingsImaging

3 years ago

⏰ it's almost time! ⏰ Just one week left to apply for a PhD at our Surgical & Interventional Engineering CDT! Browse our #PhD projects & submit your application to join #surgerycdt in October. Details 👉 surgerycdt.com/how-to-apply

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Robotics and Vision in Medicine Lab @rvimlab

3 years ago

Well done @pis_tho on your #ECCV2022 paper. Your approach is easy to introduce to a variety of common architectures, and clearly shows improvements over the state-of-the-art results on challenging datasets.