Deep learning is a very promising technique for low-dose computed tomogr...
Accurately annotated ultrasonic images are vital components of a high-qu...
Deep learning has been applied to compressive sensing (CS) of images
suc...
Gene regulatory relationships can be abstracted as a gene regulatory net...
Whole-body PET/CT scan is an important tool for diagnosing various
malig...
Deep learning has been successfully applied to low-dose CT (LDCT) image
...
Nonnegative matrix factorization (NMF) has been widely used to dimension...
Traditional nonnegative matrix factorization (NMF) learns a new feature
...
Dataset is the key of deep learning in Autism disease research. However,...
The iterative weighted shrinkage-thresholding algorithm (IWSTA) has show...
Nonnegative matrix factorization (NMF) has been widely used to learn
low...
Recognizing less salient features is the key for model compression. Howe...
Positron emission tomography (PET) is widely used in clinical practice.
...
Deep learning is a main focus of artificial intelligence and has greatly...