Lake thermal dynamics have been considerably impacted by climate change, with potential
adverse effects on aquatic ecosystems. To better understand the potential impacts of future …

With the rapid development of the air transportation industry, air traffic is facing a severe test.
The accurate prediction of the estimated arrival time (EAT) plays an important role in rational …

At present, multimodal medical image fusion technology has become an essential means for
researchers and doctors to predict diseases and study pathology. Nevertheless, how to …

Hybrid transformer-based segmentation approaches have shown great promise in medical
image analysis. However, they typically require considerable computational power and …

Purpose This paper proposes a novel self‐supervised learning framework that uses model
reinforcement, REference‐free LAtent map eXtraction with MOdel REinforcement (RELAX …

Deep learning (DL) has emerged as a leading approach in accelerating MRI. It employs
deep neural networks to extract knowledge from available datasets and then applies the …

Quantitative susceptibility map** (QSM) is an MRI-based technique that estimates the
underlying tissue magnetic susceptibility based on phase signal. Deep learning (DL)-based …

This paper proposes a novel self-supervised learning method, RELAX-MORE, for
quantitative MRI (qMRI) reconstruction. The proposed method uses an optimization …

Fatty acid can potentially serve as biomarker for evaluating metabolic disorder and
inflammation condition, and quantifying the double bonds is the key for revealing fatty acid …

Differences in acquisition protocols or hardware result in measurable changes in image
characteristics. These differences affect distributional properties and can also affect the …