Interactive medical image segmentation refers to the accurate segmentati...
Ultrasound (US) imaging is indispensable in clinical practice. To diagno...
Video Compressed Sensing (VCS) aims to reconstruct multiple frames from ...
Deep learning-based deformable registration methods have been widely
inv...
Localization of the narrowest position of the vessel and corresponding v...
Deep classifiers may encounter significant performance degradation when
...
The Segment Anything Model (SAM) is the first foundation model for gener...
Efficient point cloud representation is a fundamental element of Lidar-b...
The success of existing video super-resolution (VSR) algorithms stems ma...
Deep segmentation models often face the failure risks when the testing i...
Standard plane (SP) localization is essential in routine clinical ultras...
Ultrasound (US) is widely used for its advantages of real-time imaging,
...
Ultrasound (US) imaging is widely used for anatomical structure inspecti...
Different from handcrafted features, deep neural networks can automatica...
The success of the state-of-the-art video deblurring methods stems mainl...
As an emerging technology in deep learning, physics-informed neural netw...
Nodule segmentation from breast ultrasound images is challenging yet
ess...
3D ultrasound (US) is widely used for its rich diagnostic information.
H...
In this paper we propose an improved fast iterative method to solve the
...
The ultrasound (US) screening of the infant hip is vital for the early
d...
Automatic and accurate detection of anatomical landmarks is an essential...
Accurate standard plane (SP) localization is the fundamental step for
pr...
3D ultrasound (US) is widely used due to its rich diagnostic information...
3D ultrasound (US) can facilitate detailed prenatal examinations for fet...
Deep Neural Networks (DNNs) suffer from the performance degradation when...