Projects

KITE is a modern research infrastructure for the translation of artificial intelligence (AI) applications to the point-of-care (PoC).

👋 Welcome to the MICCAI MAD Workshop 2022.

RACOON: Building a nationwide radiological infrastructure for collaborative imaging research.

Cranioplasty is the surgical process where a skull defect, caused by a brain tumor surgery or trauma, is repaired using a cranial implant, which must fit precisely against the borders of the skull defect as replacement to the removed cranial bone. AutoImplant aims at the automatic design of cranial implants with AI-based approaches.

Developing a Head Mounted Display Augmented Reality tool for Maxillofacial surgery guidance. Improving spatial awareness by real time alignment of virtual scans and real world patients.

The k-Radiomics project is aiming to enhance diagnosis and treatment for patients by utilizing raw Magnetic Resonance Imaging (MRI) data.

Personalized, evidence-based nursing care: Pressure ulcer management supported by AI.

Prior to the deep learning era, the wide application of statistical shape model (SSM) in the medical domain is evidence that shapes are commom in medical imaging. Inspired by the well-known ShapeNet and Princeton ModelNet in the field of computer graphics (CG) and vision (CV), the goal of MedShapeNet is to promote the translation of methods developed in the context of CG/CV to clinical applications.

The smartXR lab consists of a comprehensive Mixed Reality infrastructure with AR devices, like the Microsoft HoloLens 2, VR devices, like the HTC Vive Pro, optical and electromagnetic navigation systems, 3D tracking systems, 3D scanner and printers, robotic devices, phantoms, etc.