[KNYGA][B] Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022 …
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438
constitutes the refereed proceedings of the 25th International Conference on Medical Image …
constitutes the refereed proceedings of the 25th International Conference on Medical Image …
Surgical workflow recognition with temporal convolution and transformer for action segmentation
Purpose Automatic surgical workflow recognition enabled by computer vision algorithms
plays a key role in enhancing the learning experience of surgeons. It also supports building …
plays a key role in enhancing the learning experience of surgeons. It also supports building …
Head-Mounted Displays in Context-Aware Systems for Open Surgery: A State-of-the-Art Review
Surgical context-aware systems (SCAS), which leverage real-time data and analysis from
the operating room to inform surgical activities, can be enhanced through the integration of …
the operating room to inform surgical activities, can be enhanced through the integration of …
3d human pose estimation in multi-view operating room videos using differentiable camera projections
BGA Gerats, JM Wolterink… - Computer Methods in …, 2023 - Taylor & Francis
ABSTRACT 3D human pose estimation in multi-view operating room (OR) videos is a
relevant asset for person tracking and action recognition. However, the surgical environment …
relevant asset for person tracking and action recognition. However, the surgical environment …
An empirical study on activity recognition in long surgical videos
Activity recognition in surgical videos is a key research area for develo** next-generation
devices and workflow monitoring systems. Since surgeries are long processes with highly …
devices and workflow monitoring systems. Since surgeries are long processes with highly …
A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data
Large datasets often contain multiple distinct feature sets, or views, that offer complementary
information that can be exploited by multi-view learning methods to improve results. We …
information that can be exploited by multi-view learning methods to improve results. We …
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 …
ST(OR): Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room
Surgical robotics holds much promise for improving patient safety and clinician experience
in the Operating Room (OR). However, it also comes with new challenges, requiring strong …
in the Operating Room (OR). However, it also comes with new challenges, requiring strong …
Adaptation of surgical activity recognition models across operating rooms
Automatic surgical activity recognition enables more intelligent surgical devices and a more
efficient workflow. Integration of such technology in new operating rooms has the potential to …
efficient workflow. Integration of such technology in new operating rooms has the potential to …
Multi-modal unsupervised pre-training for surgical operating room workflow analysis
MA Jamal, O Mohareri - … Conference on Medical Image Computing and …, 2022 - Springer
Data-driven approaches to assist operating room (OR) workflow analysis depend on large
curated datasets that are time consuming and expensive to collect. On the other hand, we …
curated datasets that are time consuming and expensive to collect. On the other hand, we …