Technological revolutions in smart farming: Current trends, challenges & future directions
With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
Robotic ultrasound imaging: State-of-the-art and future perspectives
Ultrasound (US) is one of the most widely used modalities for clinical intervention and
diagnosis due to the merits of providing non-invasive, radiation-free, and real-time images …
diagnosis due to the merits of providing non-invasive, radiation-free, and real-time images …
Artificial intelligence meets medical robotics
Artificial intelligence (AI) applications in medical robots are bringing a new era to medicine.
Advanced medical robots can perform diagnostic and surgical procedures, aid rehabilitation …
Advanced medical robots can perform diagnostic and surgical procedures, aid rehabilitation …
Robot-assisted medical imaging: A review
Robot-assisted medical imaging entails the use of a robot to acquire a medical image.
Examples include robot-assisted endoscopic camera imaging, ultrasound imaging where …
Examples include robot-assisted endoscopic camera imaging, ultrasound imaging where …
Machine learning in robotic ultrasound imaging: Challenges and perspectives
This article reviews recent advances in intelligent robotic ultrasound imaging systems. We
begin by presenting the commonly employed robotic mechanisms and control techniques in …
begin by presenting the commonly employed robotic mechanisms and control techniques in …
Review of robot-assisted medical ultrasound imaging systems: Technology and clinical applications
Abstract Robot-assisted Medical Ultrasound Imaging Systems (RMUIS) leverage the
accuracy and stability of robotic motion and offer the potential to standardize medical …
accuracy and stability of robotic motion and offer the potential to standardize medical …
Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations
Ultrasound (US) imaging is widely used for biometric measurement and diagnosis of internal
organs due to the advantages of being real-time and radiation-free. However, due to inter …
organs due to the advantages of being real-time and radiation-free. However, due to inter …
Defcor-net: physics-aware ultrasound deformation correction
The recovery of morphologically accurate anatomical images from deformed ones is
challenging in ultrasound (US) image acquisition, but crucial to accurate and consistent …
challenging in ultrasound (US) image acquisition, but crucial to accurate and consistent …
Rl-tee: Autonomous probe guidance for transesophageal echocardiography based on attention-augmented deep reinforcement learning
Ultrasound image acquisition in conventional transesophageal echocardiography (TEE)
requires complex manual operation of the probe in the esophagus based on the …
requires complex manual operation of the probe in the esophagus based on the …
Full-coverage path planning and stable interaction control for automated robotic breast ultrasound scanning
Ultrasound examination is widely used for diagnosis of breast cancer, which requires a full-
coverage scan of the whole organ and stable probe–breast interaction for high-quality …
coverage scan of the whole organ and stable probe–breast interaction for high-quality …