The prowess that makes few-shot learning desirable in medical image anal...
Self-supervised contrastive representation learning offers the advantage...
Eye trackers can provide visual guidance to sonographers during ultrasou...
In this paper, we consider image quality assessment (IQA) as a measure o...
Fetal alcohol syndrome (FAS) caused by prenatal alcohol exposure can res...
Deep learning models with large learning capacities often overfit to med...
Recently, there is an increasing demand for automatically detecting
anat...
Morphological analysis of longitudinal MR images plays a key role in
mon...
Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...
In medical imaging, manual annotations can be expensive to acquire and
s...
We present the first system that provides real-time probe movement guida...
Visual saliency modeling for images and videos is treated as two indepen...
Recent advances in deep learning have achieved promising performance for...
Anatomical landmarks are a crucial prerequisite for many medical imaging...
Assessing tumor tissue heterogeneity via ultrasound has recently been
su...
Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...
Semantic contour detection is a challenging problem that is often met in...
Classical pairwise image registration methods search for a spatial
trans...
Image representations are commonly learned from class labels, which are ...
One of the fundamental challenges in supervised learning for multimodal ...
We describe an adversarial learning approach to constrain convolutional
...
Spatially aligning medical images from different modalities remains a
ch...
Pixelwise segmentation of the left ventricular (LV) myocardium and the f...
In this paper, we describe how a patient-specific, ultrasound-probe-indu...
Sonography synthesis has a wide range of applications, including medical...
We present an automatic method to describe clinically useful information...
Intensity variations in image texture can provide powerful quantitative
...