Large machine learning models trained on diverse data have recently seen...
The synergy of long-range dependencies from transformers and local
repre...
In Heterogeneous Face Recognition (HFR), the objective is to match faces...
Cross-silo federated learning (FL) has attracted much attention in medic...
Federated learning (FL) is a distributed machine learning technique that...
One major problem in deep learning-based solutions for medical imaging i...
Magnetic Resonance (MR) image reconstruction from under-sampled acquisit...
Accelerating magnetic resonance image (MRI) reconstruction process is a
...
Deep Learning (DL) based methods for magnetic resonance (MR) image
recon...
Reconstructing magnetic resonance (MR) images from undersampled data is ...
Fast and accurate reconstruction of magnetic resonance (MR) images from
...
Research on image quality assessment (IQA) remains limited mainly due to...
Data-driven automatic approaches have demonstrated their great potential...
Data-driven automatic approaches have demonstrated their great potential...
We customize an end-to-end image compression framework for retina OCT im...