Reinforcement learning algorithms: A brief survey
Reinforcement Learning (RL) is a machine learning (ML) technique to learn sequential
decision-making in complex problems. RL is inspired by trial-and-error based human/animal …
decision-making in complex problems. RL is inspired by trial-and-error based human/animal …
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 …
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 …
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 …
Towards autonomous atlas-based ultrasound acquisitions in presence of articulated motion
Robotic ultrasound (US) imaging aims at overcoming some of the limitations of free-hand US
examinations, eg difficulty in guaranteeing intra-and inter-operator repeatability. However …
examinations, eg difficulty in guaranteeing intra-and inter-operator repeatability. However …
Motion magnification in robotic sonography: enabling pulsation-aware artery segmentation
Ultrasound (US) imaging is widely used for diagnosing and monitoring arterial diseases,
mainly due to the advantages of being non-invasive, radiation-free, and real-time. In order to …
mainly due to the advantages of being non-invasive, radiation-free, and real-time. In order to …
Fully automated thyroid ultrasound screening utilizing multi-modality image and anatomical prior
J Zhou, H Tian, W Wang - Biomedical Signal Processing and Control, 2024 - Elsevier
There is a high prevalence of thyroid nodules in the general population. Early detection is
essential for the treatment of malignant thyroid nodules. Ultrasound has the advantage of …
essential for the treatment of malignant thyroid nodules. Ultrasound has the advantage of …
Dopus-net: Quality-aware robotic ultrasound imaging based on doppler signal
Medical ultrasound (US) is widely used to evaluate and stage vascular diseases, in
particular for the preliminary screening program, due to the advantage of being radiation …
particular for the preliminary screening program, due to the advantage of being radiation …