Our new COO

02. August 2022

We are delighted to share that we have a new Chief Operations Officer:  Julia Müller will from now on take care of mediri’s fortune. She takes over from Prof. Johannes Gregori who will be remaining on board as mediri’s Director of Research.

Open PhD position

25. Juli 2022

We are currently offering a position as a PhD student in the Development of a Computer-assisted Diagnosis System Combining Decentralized Support of Federated Learning Models (f/m/div.). Are you interested in working on a comprehensive CAD (computer assisted diagnosis) for diagnosis and prognosis of breast cancer relapse? Have you been living mainly outside of Germany for the last 3 years? Then apply for this great opportunity to work in an international network.

Application deadline is September 11, 2022.

Visit for more information on the Marie Skłodowska-Curie Doctoral Networks Action „Bosomshield“ that encompasses this PhD position.


21. Juli 2022

We are proud to announce that our quality management system was re-certified according to EN ISO 13485. Our Software development processes fulfill the requirements for medical devices.

Welcome to the team!

19. Juli 2022

Today we are welcoming our newest team member Rezan Kisa, a Bachelor o. A. student in UX Design, who recently joined our team as a Working Student in Marketing and User Experience Design.

With her Design and UX skills, she supports us in taking care of mediris Web and Social Media content. Furthermore she is responsible for designing mTRIAL reports and marketing material.

Find out more about our current projects on our homepage or contact us directly.

ASL Network dinner

14. Juni 2022

It’s great to be in-person again. After a meeting on the advances in the ASPIRE project together with GSP and VUmc, mediri enjoyed extensive scientific exchange and insights to latest developments in MRI at ISMRM in London. Also thanks to everyone for joining the ASL Network Dinner during ISMRM 2022.

Science news!

27. Mai 2022

Congratulations to our team members Daniel Mensing, Prof. Dr.
Johannes Gregori, Dr. Jürgen Jenne, Michael Stritt (formerly mediri), Prof. Dr. Matthias Guenther for their great work published last month. Read more about the LSTM-U-net and its application for the robust segmentation of veins in ultrasound sequences.


09. Mai 2022

We proudly announce that our managing director Prof. Dr. Johannes Gregori is now professor at the University of Applied Sciences in Darmstadt. He has already contributed to the curriculum with a lecture on medical image processing and brings new expertise into the optical technology and image processing program. We are looking forward to the next collaborations and the interesting exchange that will result from these amazing synergies.

ASL for clinical trials

19. April 2022

mediri and Gold Standard Phantoms aim to ready ASL for clinical trials | Sunday, 08. May 2022 | Details & registration: editor(AT)
For more information on our visions visit

Clinical trials in the context of COVID-19

09. März 2022

How does vaccination affect patients with pre-existing conditions? Which symptoms belong to the so-called Long Covid disease and are there interactions with other diseases? Can already existing pharmaceuticals be used in patients with Long Covid Syndrome?
Clinical research must gain decisive insights into the management of COVID-19 to relieve the burden on practices and clinics and ensure reliable patient care.
mediri supports the successful implementation of your next clinical trial. In addition to our services, the individually configurable data management platform mTRIAL offers a wide range of specialized imaging tools.

Welcome aboard!

04. Februar 2022

A warm welcome to our new team member Hannah Strohm, who recently joined our research team as a Research Associate.

On behalf of all the members, we would like to extend our warmest welcome and good wishes!

With her experience in the development of data-driven/AI-based methods for ultrasound reconstruction and ultrasound data analysis, she supports us in our terrific research projects in the area of Deep Learning in ultrasound imaging.