Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

The trend of achieving minimal invasiveness in surgeries and recent technological
advances in robotics have resulted in the emergence of flexible surgical robots. Such …

The field of surgical computer vision has undergone considerable breakthroughs in recent
years with the rising popularity of deep neural network-based methods. However, standard …

Surgical instrument segmentation-in general a pixel classification task-is fundamentally
crucial for promoting cognitive intelligence in robot-assisted surgery (RAS). However …

Automatic surgical instrument segmentation of endoscopic images is a crucial building block
of many computer-assistance applications for minimally invasive surgery. So far, state-of-the …

Soft and continuum robots are transforming medical interventions thanks to their flexibility,
miniaturization, and multidirectional movement abilities. Although flexibility enables …

Self-supervised learning (SSL) has led to important breakthroughs in computer vision by
allowing learning from large amounts of unlabeled data. As such, it might have a pivotal role …

Continuum manipulators contribute to promising improvements of minimally invasive
surgical procedures due to their compliance, small size, and ability to navigate anatomical …

Background Machine learning and robotics technologies are increasingly being used in the
healthcare domain to improve the quality and efficiency of surgeries and to address …

Performance evaluation and inverse kinematics (IK) for continuum robots are always hard
and time-consuming. In this paper, an efficient dexterity evaluation algorithm based on IK …