Parameter-efficient framework for surgical action triplet recognition
Purpose Surgical action triplet recognition is a clinically significant yet challenging task. It
provides surgeons with detailed information about surgical scenarios, thereby facilitating …
provides surgeons with detailed information about surgical scenarios, thereby facilitating …
Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning
In this work, we investigate laparoscopic camera motion automation through imitation
learning from retrospective videos of laparoscopic interventions. A novel method is …
learning from retrospective videos of laparoscopic interventions. A novel method is …
Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery
Purpose Most studies on surgical activity recognition utilizing artificial intelligence (AI) have
focused mainly on recognizing one type of activity from small and mono-centric surgical …
focused mainly on recognizing one type of activity from small and mono-centric surgical …
Know your sensors—a modality study for surgical action classification
L Bastian, T Czempiel, C Heiliger, K Karcz… - Computer Methods in …, 2023 - Taylor & Francis
The surgical operating room (OR) presents many opportunities for automation and
optimisation. Videos from various sources in the OR are becoming increasingly available …
optimisation. Videos from various sources in the OR are becoming increasingly available …
[HTML][HTML] SDA-CLIP: surgical visual domain adaptation using video and text labels
Background Surgical action recognition is an essential technology in context-aware-based
autonomous surgery, whereas the accuracy is limited by clinical dataset scale. Leveraging …
autonomous surgery, whereas the accuracy is limited by clinical dataset scale. Leveraging …
Learning multi-modal representations by watching hundreds of surgical video lectures
Recent advancements in surgical computer vision applications have been driven by fully-
supervised methods, primarily using only visual data. These methods rely on manually …
supervised methods, primarily using only visual data. These methods rely on manually …
[PDF][PDF] Artificial intelligence for surgical services in Australia and New Zealand: opportunities, challenges and recommendations
Artificial intelligence (AI) is being rapidly taken up by society, including health care services,
and will inevitably be used broadly within the surgical services of Australia and New …
and will inevitably be used broadly within the surgical services of Australia and New …
Murphy: relations matter in surgical workflow analysis
S Zhao, Y Liu, Q Wang, D Sun, R Liu… - arXiv preprint arXiv …, 2022 - arxiv.org
Autonomous robotic surgery has advanced significantly based on analysis of visual and
temporal cues in surgical workflow, but relational cues from domain knowledge remain …
temporal cues in surgical workflow, but relational cues from domain knowledge remain …
Simulated outcomes for durotomy repair in minimally invasive spine surgery
Minimally invasive spine surgery (MISS) is increasingly performed using endoscopic and
microscopic visualization, and the captured video can be used for surgical education and …
microscopic visualization, and the captured video can be used for surgical education and …
[HTML][HTML] On the pitfalls of batch normalization for end-to-end video learning: a study on surgical workflow analysis
Batch Normalization's (BN) unique property of depending on other samples in a batch is
known to cause problems in several tasks, including sequential modeling. Yet, BN-related …
known to cause problems in several tasks, including sequential modeling. Yet, BN-related …