Latest AI and machine learning research in lymphoma for healthcare professionals.
Languages can use a common repertoire of vocal sounds to signify distinct meanings. In tonal languag...
In image-guided neurosurgery, co-registered preoperative anatomical, functional, and diffusion tens...
A primary challenge in single-cell RNA sequencing (scRNA-seq) studies comes from the massive amount ...
Most biomedical datasets, including those of 'omics, population studies, and surveys, are rectangula...
Corona Virus Disease (COVID-19) has spread globally quickly, and has resulted in a large number of c...
Cerebral blood flow (CBF) can be measured with dynamic positron emission tomography (PET) of O-label...
Histopathologic diagnosis of Hirschsprung's disease (HSCR) is time consuming and requires expertise....
PURPOSE: Convolutional neural networks (CNNs) show potential for delineating cancers on contrast-enh...
Human motion prediction, which aims at predicting future human skeletons given the past ones, is a t...
PURPOSE: With few treatment options available for non-ambulatory children with cerebral palsy (CP), ...
BACKGROUND: Articular cartilage degeneration is the hallmark change of osteoarthritis, a severely di...
BACKGROUND: Accurate prognostication is crucial in treatment decisions made for men diagnosed with n...
BACKGROUND: COVID-19 pandemic has currently no vaccines. Thus, the only feasible solution for preven...
PURPOSE: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint pr...
Early diagnosis of the coronavirus disease in 2019 (COVID-19) is essential for controlling this pand...
The quality of reconstructed dynamic PET images, as well as the statistical reliability of the estim...
In the electronic health record, the majority of clinically relevant information is stored within cl...
We show how complexity theory can be introduced in machine learning to help bring together apparentl...
Diabetes mellitus, commonly measured through an invasive process which although is accurate, has man...
The Pediatric Acute Liver Failure (PALF) study is a multicenter, observational cohort study of infan...
The design of an energy-efficient tracking framework is a well-investigated issue and a prominent se...