Objective: Surgical activity recognition is a fundamental step in computer-assisted
interventions. This paper reviews the state-of-the-art in methods for automatic recognition of …

Recent years have seen tremendous progress in artificial intelligence (AI), such as with the
automatic and real-time recognition of objects and activities in videos in the field of computer …

Automatic surgical phase recognition is a challenging and crucial task with the potential to
improve patient safety and become an integral part of intra-operative decision-support …

The fields of computer vision (CV) and artificial intelligence (AI) have undergone rapid
advancements in the past decade, many of which have been applied to the analysis of …

Surgical tool presence detection and surgical phase recognition are two fundamental yet
challenging tasks in surgical video analysis as well as very essential components in various …

In this paper we introduce OperA, a transformer-based model that accurately predicts
surgical phases from long video sequences. A novel attention regularization loss …

Automatic surgical workflow recognition is a key component for developing context-aware
computer-assisted systems in the operating theatre. Previous works either jointly modeled …

Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …

Recent advancements in deep learning methods bring computer-assistance a step closer to
fulfilling promises of safer surgical procedures. However, the generalizability of such …

This article studies the influence of pot temperature or electrolyte temperature in the
aluminum reduction production. Specifically, these indexes reflect the distribution of the …