![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior
Magnetic resonance imaging (MRI) is commonly used for studying infant brain development. However, due to the lengthy image acquisition time and limited subject compliance, high-quality infant MRI can be challe...
-
Article
Open AccessA deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study
Timely differentiating between pulmonary tuberculosis (TB) and nontuberculous mycobacterial lung disease (NTM-LD), which are radiographically similar, is important because infectiousness and treatment differ. ...
-
Article
Open AccessRecalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph
Image-based teleconsultation using smartphones has become increasingly popular. In parallel, deep learning algorithms have been developed to detect radiological findings in chest X-rays (CXRs). However, the fe...
-
Chapter
Flavor-Related Applications of Chitin and Chitosan in Foods: Effect of Structure and Properties on the Efficacy
Chitin and chitosan are natural and abundant polymers with extensive structural possibilities for physical and chemical modification. The well-known inherent astringency of chitin and chitosan limits their use...
-
Article
Behavior of density-induced segregation with multi-density granular materials in a thin rotating drum
In this study, the effect of multi-density particles on granular segregation was experimentally investigated in a rotating drum. Optical cameras were used to record the motions of the granular materials. Parti...
-
Chapter and Conference Paper
JSTASR: Joint Size and Transparency-Aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal
Snow removal usually affects the performance of computer vision. Comparing with other atmospheric phenomenon (e.g., haze and rain), snow is more complicated due to its transparency, various size, and accumulat...
-
Article
Aspirin and nonsteroidal anti-inflammatory drugs after but not before diagnosis are associated with improved breast cancer survival: a meta-analysis
The association between nonsteroidal anti-inflammatory drugs (NSAIDs) and breast cancer survival is still controversial. The aim of our meta-analysis was to assess the survival benefit of NSAIDs.