Emerging robotic platforms for minimally invasive surgery
Recent technological advances in surgery have resulted in the development of a range of
new techniques that have reduced patient trauma, shortened hospitalization, and improved …
new techniques that have reduced patient trauma, shortened hospitalization, and improved …
Application of artificial intelligence in surgery
Artificial intelligence (AI) is gradually changing the practice of surgery with technological
advancements in imaging, navigation, and robotic intervention. In this article, we review the …
advancements in imaging, navigation, and robotic intervention. In this article, we review the …
Dimensionality reduction in controlling articulated snake robot for endoscopy under dynamic active constraints
KW Kwok, KH Tsoi, V Vitiello, J Clark… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
This paper presents a real-time control framework for a snake robot with hyper-kinematic
redundancy under dynamic active constraints for minimally invasive surgery. A proximity …
redundancy under dynamic active constraints for minimally invasive surgery. A proximity …
Application of magnetic resonance imaging in liver biomechanics: a systematic review
MRI-based biomechanical studies can provide a deep understanding of the mechanisms
governing liver function, its mechanical performance but also liver diseases. In addition …
governing liver function, its mechanical performance but also liver diseases. In addition …
3-D brain reconstruction by hierarchical shape-perception network from a single incomplete image
3-D shape reconstruction is essential in the navigation of minimally invasive and auto robot-
guided surgeries whose operating environments are indirect and narrow, and there have …
guided surgeries whose operating environments are indirect and narrow, and there have …
MRI-guided robot intervention—current state-of-the-art and new challenges
Abstract Magnetic Resonance Imaging (MRI) is now a widely used modality for providing
multimodal, high-quality soft tissue contrast images with good spatiotemporal resolution but …
multimodal, high-quality soft tissue contrast images with good spatiotemporal resolution but …
A point cloud generative model via tree-structured graph convolutions for 3D brain shape reconstruction
Fusing medical images and the corresponding 3D shape representation can provide
complementary information and microstructure details to improve the operational …
complementary information and microstructure details to improve the operational …
One-stage shape instantiation from a single 2D image to 3D point cloud
Shape instantiation which predicts the 3D shape of a dynamic target from one or more 2D
images is important for real-time intra-operative navigation. Previously, a general shape …
images is important for real-time intra-operative navigation. Previously, a general shape …
A general framework for context-specific image segmentation using reinforcement learning
This paper presents an online reinforcement learning framework for medical image
segmentation. The concept of context-specific segmentation is introduced such that the …
segmentation. The concept of context-specific segmentation is introduced such that the …
A real-time and registration-free framework for dynamic shape instantiation
Real-time 3D navigation during minimally invasive procedures is an essential yet
challenging task, especially when considerable tissue motion is involved. To balance image …
challenging task, especially when considerable tissue motion is involved. To balance image …