Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
Recent advances in deep learning have produced encouraging results for biomedical image segmentation...
Environmental sustainability research is dependent on accurate land cover information. Even with the...
A prior project found that an intensive (12 weeks, thrice weekly sessions) in-person, supervised, ex...
Accurate quantification of white matter hyperintensities (WMH) from Magnetic Resonance Imaging (MRI)...
Isotropic three-dimensional (3D) acquisition is a challenging task in magnetic resonance imaging (MR...
Segmentation of brain tumors from magnetic resonance imaging (MRI) data sets is of great importance ...
There are limited biomarkers for substance use disorders (SUDs). Traditional statistical approaches ...
Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the de...
BACKGROUND/PURPOSE: is an important pathogen in the development of dental caries. Many studies have...
The activities of groups of neurons in a circuit or brain region are important for neuronal computat...
When electronic health record (EHR) data are used, multiple approaches may be available for measurin...
Four diterpenoid alkaloids, namely, () hypaconitine, ) songorine, () mesaconitine and () aconitine, ...
A rapid, simple and accurate micellar HPLC-method was adopted and validated for concurrent quantific...
This study aims to prove that ionic liquids (ILs) can be used as extraction solvents in a liquid-liq...
In brain structural segmentation, multi-atlas strategies are increasingly being used over single-atl...
The aim of the study was to conduct a retrospective chart review of patients who underwent betadine/...
In this study, we describe the most ultralightweight living legged robot to date that makes it a str...
The adverse and beneficial health effects of nicotine (NIC), the major alkaloid found in cigarettes ...
Existing deformable registration methods require exhaustively iterative optimization, along with car...
This paper presents a 3-D object recognition method and its implementation on a robotic navigation a...
This paper presents a wearable electrophysiological interface with enhanced immunity to motion artif...