Robot-assisted medical imaging: A review

SE Salcudean, H Moradi, DG Black… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Robot-assisted medical imaging entails the use of a robot to acquire a medical image.
Examples include robot-assisted endoscopic camera imaging, ultrasound imaging where …

Creating a digital twin of spinal surgery: A proof of concept

J Hein, F Giraud, L Calvet, A Schwarz… - Proceedings of the …, 2024 - openaccess.thecvf.com
Surgery digitalization is the process of creating a virtual replica of real-world surgery also
referred to as a surgical digital twin (SDT). It has significant applications in various fields …

Incremental 3d semantic scene graph prediction from rgb sequences

SC Wu, K Tateno, N Navab… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Abstract 3D semantic scene graphs are a powerful holistic representation as they describe
the individual objects and depict the relation between them. They are compact high-level …

Echoscene: Indoor scene generation via information echo over scene graph diffusion

G Zhai, EP Örnek, DZ Chen, R Liao, Y Di… - … on Computer Vision, 2024 - Springer
We present EchoScene, an interactive and controllable generative model that generates 3D
indoor scenes on scene graphs. EchoScene leverages a dual-branch diffusion model that …

[HTML][HTML] Medical augmented reality: definition, principle components, domain modeling, and design-development-validation process

N Navab, A Martin-Gomez, M Seibold… - Journal of …, 2022 - mdpi.com
Three decades after the first set of work on Medical Augmented Reality (MAR) was
presented to the international community, and ten years after the deployment of the first MAR …

Holistic or domain modeling: a semantic scene graph approach

E Özsoy, T Czempiel, EP Örnek, U Eck… - International Journal of …, 2024 - Springer
Purpose Surgical procedures take place in highly complex operating rooms (OR), involving
medical staff, patients, devices and their interactions. Until now, only medical professionals …

Symphony of Time: Temporal Deep Learning for Surgical Activity Recognition

TM Czempiel - 2023 - mediatum.ub.tum.de
Our research uses deep learning-based methods to accurately identify surgical activities in
the Operating Room, improving workflow understanding and patient outcomes. Our …

Bildbasierte Unterstützungsmethoden für die zukünftige Anwendung in der Chirurgie

R Hartwig, M Berlet, T Czempiel, J Fuchtmann… - Die Chirurgie, 2022 - Springer
Zusammenfassung Hintergrund Die Entwicklung assistiver Technologien wird in den
kommenden Jahren nicht nur in der Chirurgie von zunehmender Bedeutung sein. Die …

[HTML][HTML] „Ready Surgeon One?”–Chirurgie im virtuellen OP-Saal

D Wilhelm, T Huber - bdc.de
W er von uns würde angesichts der aktuellen Probleme in der chirurgischen Versorgung,
wie Personalmangel, Versorgungslücken und finanzielle Einschränkungen, nicht gerne in …