Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Robot-assisted medical imaging: A review
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 …
Examples include robot-assisted endoscopic camera imaging, ultrasound imaging where …
Creating a digital twin of spinal surgery: A proof of concept
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 …
referred to as a surgical digital twin (SDT). It has significant applications in various fields …
Incremental 3d semantic scene graph prediction from rgb sequences
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 …
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
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 …
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
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 …
presented to the international community, and ten years after the deployment of the first MAR …
Holistic or domain modeling: a semantic scene graph approach
Purpose Surgical procedures take place in highly complex operating rooms (OR), involving
medical staff, patients, devices and their interactions. Until now, only medical professionals …
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 …
the Operating Room, improving workflow understanding and patient outcomes. Our …
Bildbasierte Unterstützungsmethoden für die zukünftige Anwendung in der Chirurgie
Zusammenfassung Hintergrund Die Entwicklung assistiver Technologien wird in den
kommenden Jahren nicht nur in der Chirurgie von zunehmender Bedeutung sein. Die …
kommenden Jahren nicht nur in der Chirurgie von zunehmender Bedeutung sein. Die …