Ultrasound (US) image segmentation is an active research area that requi...
Interactive medical image segmentation refers to the accurate segmentati...
Relational Language-Image Pre-training (RLIP) aims to align vision
repre...
Ultrasound (US) imaging is indispensable in clinical practice. To diagno...
Electroencephalography (EEG) is an objective tool for emotion recognitio...
Early diagnosis of renal cancer can greatly improve the survival rate of...
Ultrasound (US) imaging is a popular tool in clinical diagnosis, offerin...
Deep learning-based deformable registration methods have been widely
inv...
The Transformer structures have been widely used in computer vision and ...
Deep neural networks have been widely applied in dichotomous medical ima...
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...
Ultrasound is the primary modality to examine fetal growth during pregna...
Scribble-supervised medical image segmentation tackles the limitation of...
The task of Human-Object Interaction (HOI) detection targets fine-graine...
Breast cancer is one of the leading causes of cancer deaths in women. As...
Over the past decades, the incidence of thyroid cancer has been increasi...
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,
...
Regression learning is classic and fundamental for medical image analysi...
Freehand 3D ultrasound (US) has important clinical value due to its low ...
Ultrasound (US) imaging is widely used for anatomical structure inspecti...
Different from handcrafted features, deep neural networks can automatica...
Human-Object Interaction (HOI) detection is an essential task to underst...
Multi-sequence cardiac magnetic resonance (CMR) provides essential patho...
For medical image segmentation, imagine if a model was only trained usin...
Ultrasound (US) imaging is commonly used to assist in the diagnosis and
...
Group activity recognition aims to understand the activity performed by ...
Standard plane recognition plays an important role in prenatal ultrasoun...
Nodule segmentation from breast ultrasound images is challenging yet
ess...
The performance of deep segmentation models often degrades due to
distri...
3D ultrasound (US) is widely used for its rich diagnostic information.
H...
In this work, we propose a novel straightforward method for medical volu...
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...
Deep segmentation models that generalize to images with unknown appearan...
Ultrasound (US) image segmentation embraced its significant improvement ...
Deep models often suffer from severe performance drop due to the appeara...
Automated breast ultrasound (ABUS) is a new and promising imaging modali...
3D ultrasound (US) is widely used due to its rich diagnostic information...
Background and Objective: Biometric measurements of fetal head are impor...
Fetal cortical plate segmentation is essential in quantitative analysis ...
Ultrasound (US) is widely accepted in clinic for anatomical structure
in...
3D ultrasound (US) can facilitate detailed prenatal examinations for fet...
Deep Neural Networks (DNNs) suffer from the performance degradation when...
The 3D ultrasound (US) entrance inspires a multitude of automated prenat...
Standard plane localization is crucial for ultrasound (US) diagnosis. In...