IdentityMask: deep motion flow guided reversible face video de-identification
Unprecedented video collection and sharing have exacerbated privacy concerns and led to
increasing interest in privacy-preserving tools. A satisfactory video de-identification tool …
increasing interest in privacy-preserving tools. A satisfactory video de-identification tool …
DisguisOR: holistic face anonymization for the operating room
Abstract Purpose Recent advances in Surgical Data Science (SDS) have contributed to an
increase in video recordings from hospital environments. While methods such as surgical …
increase in video recordings from hospital environments. While methods such as surgical …
Face detection in the operating room: Comparison of state-of-the-art methods and a self-supervised approach
Purpose Face detection is a needed component for the automatic analysis and assistance of
human activities during surgical procedures. Efficient face detection algorithms can indeed …
human activities during surgical procedures. Efficient face detection algorithms can indeed …
Towards video-based surgical workflow understanding in open orthopaedic surgery
A Kadkhodamohammadi… - Computer Methods in …, 2021 - Taylor & Francis
Safe and efficient surgical training and workflow management play a critical role in clinical
competency and ultimately, patient outcomes. Video data in minimally invasive surgery …
competency and ultimately, patient outcomes. Video data in minimally invasive surgery …
Ensuring privacy protection in the era of big laparoscopic video data: development and validation of an inside outside discrimination algorithm (IODA)
A Schulze, D Tran, MTJ Daum, A Kisilenko… - Surgical …, 2023 - Springer
Background Laparoscopic videos are increasingly being used for surgical artificial
intelligence (AI) and big data analysis. The purpose of this study was to ensure data privacy …
intelligence (AI) and big data analysis. The purpose of this study was to ensure data privacy …
Automatic detection of out-of-body frames in surgical videos for privacy protection using self-supervised learning and minimal labels
Endoscopic video recordings are widely used in minimally invasive robot-assisted surgery,
but when the endoscope is outside the patient's body, it can capture irrelevant segments that …
but when the endoscope is outside the patient's body, it can capture irrelevant segments that …
3D Holistic OR Anonymization
TD Wang - arXiv preprint arXiv:2405.05261, 2024 - arxiv.org
We propose a novel method that leverages 3D information to automatically anonymize multi-
view RGB-D video recordings of operating rooms (OR). Our anonymization method …
view RGB-D video recordings of operating rooms (OR). Our anonymization method …
Deep Motion Flow Guided Reversible Face Video De-identification
Unprecedented video collection and sharing have exacerbated privacy concerns and led to
increasing interest in privacy-preserving tools. A satisfactory video de-identification tool …
increasing interest in privacy-preserving tools. A satisfactory video de-identification tool …
An 'Ethical Black Box', Learning From Disagreement in Shared Control Systems
Shared control, where a human user cooperates with an algorithm to operate a device, has
the potential to greatly expand access to powered mobility, but also raises unique ethical …
the potential to greatly expand access to powered mobility, but also raises unique ethical …
Contactless human monitoring: Challenges and future direction
Human activity recognition and analysis have a great number of important applications in
numerous fields including computer vision, ubiquitous computing, human-computer …
numerous fields including computer vision, ubiquitous computing, human-computer …