Zobrazeno 1 - 10
of 477
pro vyhledávání: '"Speidel Stefanie"'
Autor:
Kolb Sven, Jurosch Franziska, Kröger Nicolai, Mehmeti Fidan, Bernhard Lukas, Fuchtmann Jonas, Speidel Stefanie, Kellerer Wolfgang, Wilhelm Dirk
Publikováno v:
Current Directions in Biomedical Engineering, Vol 10, Iss 2, Pp 33-36 (2024)
The increase in staff shortage, particularly in urgently needed care professions, is becoming an immense problem in the German healthcare system. This critical issue is further intensified by the fact that the healthcare system is still a strongly hu
Externí odkaz:
https://doaj.org/article/b4f3befecb7a460cb59eb234f7aabf3d
Autor:
Venkatesh, Danush Kumar, Rivoir, Dominik, Pfeiffer, Micha, Kolbinger, Fiona, Speidel, Stefanie
In computer-assisted surgery, automatically recognizing anatomical organs is crucial for understanding the surgical scene and providing intraoperative assistance. While machine learning models can identify such structures, their deployment is hindere
Externí odkaz:
http://arxiv.org/abs/2410.07753
Computer-assisted surgery (CAS) systems are designed to assist surgeons during procedures, thereby reducing complications and enhancing patient care. Training machine learning models for these systems requires a large corpus of annotated datasets, wh
Externí odkaz:
http://arxiv.org/abs/2408.09822
Autor:
Di, Julia, Dugonjic, Zdravko, Fu, Will, Wu, Tingfan, Mercado, Romeo, Sawyer, Kevin, Most, Victoria Rose, Kammerer, Gregg, Speidel, Stefanie, Fan, Richard E., Sonn, Geoffrey, Cutkosky, Mark R., Lambeta, Mike, Calandra, Roberto
Vision-based tactile sensors have recently become popular due to their combination of low cost, very high spatial resolution, and ease of integration using widely available miniature cameras. The associated field of view and focal length, however, ar
Externí odkaz:
http://arxiv.org/abs/2403.05500
Autor:
Jenke, Alexander C., Bodenstedt, Sebastian, Kolbinger, Fiona R., Distler, Marius, Weitz, Jürgen, Speidel, Stefanie
Understanding a surgical scene is crucial for computer-assisted surgery systems to provide any intelligent assistance functionality. One way of achieving this scene understanding is via scene segmentation, where every pixel of a frame is classified a
Externí odkaz:
http://arxiv.org/abs/2402.19340
Autor:
Kenngott Hannes G., Apitz Martin, Wagner Martin, Preukschas Anas A., Speidel Stefanie, Müller-Stich Beat Peter
Publikováno v:
Innovative Surgical Sciences, Vol 2, Iss 3, Pp 139-143 (2017)
In the last hundred years surgery has experienced a dramatic increase of scientific knowledge and innovation. The need to consider best available evidence and to apply technical innovations, such as minimally invasive approaches, challenges the surge
Externí odkaz:
https://doaj.org/article/73a38eb1372d4b7891a189cc5dbb187d
Autor:
Bhasker, Nithya, Leger, Stefan, Zwanenburg, Alexander, Reddy, Chethan Babu, Bodenstedt, Sebastian, Löck, Steffen, Speidel, Stefanie
Graph neural networks (GNNs) are becoming increasingly popular in the medical domain for the tasks of disease classification and outcome prediction. Since patient data is not readily available as a graph, most existing methods either manually define
Externí odkaz:
http://arxiv.org/abs/2310.02931
Autor:
Venkatesh, Danush Kumar, Rivoir, Dominik, Pfeiffer, Micha, Kolbinger, Fiona, Distler, Marius, Weitz, Jürgen, Speidel, Stefanie
In surgical computer vision applications, obtaining labeled training data is challenging due to data-privacy concerns and the need for expert annotation. Unpaired image-to-image translation techniques have been explored to automatically generate larg
Externí odkaz:
http://arxiv.org/abs/2309.03048
To enable context-aware computer assistance in the operating room of the future, cognitive systems need to understand automatically which surgical phase is being performed by the medical team. The primary source of information for surgical phase reco
Externí odkaz:
http://arxiv.org/abs/2307.09997
Surgical phase recognition is a basic component for different context-aware applications in computer- and robot-assisted surgery. In recent years, several methods for automatic surgical phase recognition have been proposed, showing promising results.
Externí odkaz:
http://arxiv.org/abs/2305.13961