What happened recently

Meet us @ GTC 2019

California here we come: see you at NVIDIA's famous tech conference GTC 2019 in Silicon Valley!

Come listen to our talk "Shaping the future of Medical Ultrasound Imaging with Deep Learning and GPU computing" on Wed, March 20 at 3pm by Raphael Prevost.

Register here.

Meet us @ ECR 2019

We're looking forward to our visit at ECR2019, the Annual Meeting of the European Society of Radiology in Vienna next weekend and discovering the latest innovations in #radiology and #medicaltech.

Get in touch to arrange a meeting with our CEO Wolfgang Wein.

Thank you for attending our Meet-Up!

We had a successful Meet-up night at Klinikum Rechts der Isar full of interesting and inspiring talks, delicious food and exciting demos. Thanks to all organizers and attendees! Check out the talk of our colleague Raphael in a live video.

We're part of the NVIDIA Inception Program

Inception’s mission is to support companies that are revolutionizing industries with advances in artificial Intelligence (AI) and data science. Designed as a virtual accelerator program, it assists members during critical stages of product development, prototyping, and deployment. We're proud to be a part of it!

H2020 Fast-track to Innovation grant for tomographic ultrasound solution

A €2.1m European grant (H2020 Fast-track to Innovation) has been awarded to a consortium composed of IVS Limited (Manchester, UK), piur Imaging GmbH (Vienna, Austria),ImFusion (Munich, Germany) and ACMIT GmbH (Vienna, Austria). The goal of this project is to make vascular imaging more affordable and safer for patients through an innovative tomographic ultrasound solution that produces three-dimensional diagnostic information.

More details about the projects can be found on the official website of the project.

Two papers accepted at MICCAI 2017

We are happy and proud to announce that our two submissions to MICCAI 2017 have been accepted ! MICCAI is one of the most renowned conferences on medical image computing. Our two papers are entitled:
  • Deep Learning for Sensorless 3D Freehand Ultrasound Imaging
  • Precise Ultrasound Bone Registration with Learning-based Segmentation and Speed of Sound Calibration