Visual Healthcare Computing

The research area “Visual Healthcare Computing” describes the application of computer  vision, deep learning and visualization algorithms to the field of digital healthcare.
Examples are applications along a patient’s healthcare pathway, starting  from image based diagnostics (e.g. based on endoscopy or digital pathology), endoscopy-based image enhancement for orientation and navigation (using e.g. 2D/3D panoramic imaging), computer assisted radiomics (in the field of mammography), contactless monitoring of vital signs (e.g. pulse and breathing) as well as interactive immersive training and planning systems for surgical interventions.

Selected Publications: