Visual target tracking is one of the most sought-after yet challenging research topics in
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …

Robotic-assisted surgery is now well established in clinical practice and has become the
gold-standard clinical treatment option for several clinical indications. The field of robotic …

Artificial intelligence (AI) now enables automated interpretation of medical images. However,
AI's potential use for interventional image analysis remains largely untapped. This is …

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 …

Purpose A profound education of novice surgeons is crucial to ensure that surgical
interventions are effective and safe. One important aspect is the teaching of technical skills …

In mainstream computer vision and machine learning, public datasets such as ImageNet,
COCO and KITTI have helped drive enormous improvements by enabling researchers to …

Vision-based tracking of construction workers is the fundamental step for many automated
applications in off-site construction. This research proposes a vision-based method for …

Purpose Real-time surgical tool tracking is a core component of the future intelligent
operating room (OR), because it is highly instrumental to analyze and understand the …

Real-time instrument tracking is a crucial requirement for various computer-assisted
interventions. To overcome problems such as specular reflection and motion blur, we …

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