Deep Learning (DL) models tend to perform poorly when the data comes fro...
When applying a Deep Learning model to medical images, it is crucial to
...
Deep learning methods provide significant assistance in analyzing corona...
Domain Adaptation (DA) has recently raised strong interests in the medic...
We systematically evaluate a Deep Learning (DL) method in a 3D medical i...
Domain Adaptation (DA) methods are widely used in medical image segmenta...
MRI scans appearance significantly depends on scanning protocols and,
co...
Target imbalance affects the performance of recent deep learning methods...
The current COVID-19 pandemic overloads healthcare systems, including
ra...
Stereotactic radiosurgery is a minimally-invasive treatment option for a...
Deep learning methods are actively used for brain lesion segmentation. O...
We consider the problem of inductive matrix completion under the assumpt...