We propose Boundary-RL, a novel weakly supervised segmentation method th...
One of the distinct characteristics in radiologists' reading of
multipar...
Graph neural networks (GNNs) have been proposed for medical image
segmen...
We propose an image synthesis mechanism for multi-sequence prostate MR i...
The prowess that makes few-shot learning desirable in medical image anal...
In this work, we consider the task of pairwise cross-modality image
regi...
Image registration is useful for quantifying morphological changes in
lo...
Dice similarity coefficient (DSC) and Hausdorff distance (HD) are widely...
In this paper, we consider image quality assessment (IQA) as a measure o...
Image quality assessment (IQA) in medical imaging can be used to ensure ...
The ability to adapt medical image segmentation networks for a novel cla...
Prostate cancer (PCa) is one of the leading causes of death for men
worl...
In this paper, we consider a type of image quality assessment as a
task-...
Organ morphology is a key indicator for prostate disease diagnosis and
p...
DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...
Morphological analysis of longitudinal MR images plays a key role in
mon...
We develop a novel cross-modality generation framework that learns to
ge...