Events

I participate in a panel discussion on surgical planning and implementation at the AM Medical Days 2023.

We’re gearing up for the DKOU_Berlin Conference in Berlin next week! Our team at 1000shapes is excited to immerse in the latest advancements in medical technology and patient-specific planning solutions.

We from 1000shapes are proud to be sponsoring the MICCAI 2023 Challenge: Segmentation of the Aorta. Congratulations to Andriy and team for the 1st place AI solution. Their solution is based on MONAI Auto3DSeg.

Great to have the DMEA - Connecting Digital Health again in town 👌. We at 1000shapes are looking forward to learning about the newest trends and developments and help shaping the future of Digital Health Care!

Dear friends & colleagues. I will be attending this year’s AAOS 2023 in Las Vegas next week. Looking forward to meeting you in person to discuss how we can make individually configured surgical device provisioning accessible to all - with the help of innovative digital solutions.

In this talk at this year’s Simq ‘22 Conference we will describe how one can predict hemodynamic parameters such as pressure or wall shear stress based on the geometry of the aortic arch, using a combination of techniques for shape modeling, CFD and machine learning. This technology allows for individualized functional stent planning in real-time.

The shape of any part of the human body tends to vary significantly in any given population. Statistical Shape Models (SSM) can represent the statistical dependencies of these anatomical variations. SSMs have proven useful in a surprisingly large number of orthopedic use cases in areas like orthopedic diagnosis, 3D surgery planning, individual implant design as well as medical product layout planning.

1000shapes will present its portfolio at this year’s AM Medical Days in Berlin.

At this year’s annual meeting of the American Academy of Orthopaedic Surgeons (AAOS), we have the previlege to present a scientific study on the question to what extent 3D information can be estimated from planar X-ray images for the purpose of better decision making in orthopedic surgery.

Our contribution to the 1st AutoImplant Cranial Implant Design Challenge won the best paper award. Our team presented a combination of neural network based techniques with statistical shape models. Our approach generalizes very well to arbitrary large skull defects.

Der Vortrag behandelt die Möglichkeiten 3D-Modelle anatomischer Strukturen für das Design neuer Produkte und Therapieansätze in der …

Population-based models of morphological variability are useful for automating medical image processing tasks, diagnosis device and …

We present our work on shape synthetization at the ESC 2019 Congress.

Stückweise lineare polygonale Vernetzungen von Oberflächen im R³ (insbesondere Dreiecksnetze) spielen eine wichtige Rolle in der …

This presentation was awarded the Best Podium Presentation Award.