Latest AI and machine learning research in intensivists for healthcare professionals.
PURPOSEÂ : Despite its potential for improvements through supervision, deep learning-based registrati...
UNLABELLED: To estimate performance characteristics and impact on care processes of a machine learni...
It is essential to measure anatomical parameters in prenatal ultrasound images for the growth and de...
Two critical tasks in multi-criteria group decision making (MCGDM) are to describe criterion values ...
The whole slide histopathology images (WSIs) play a critical role in gastric cancer diagnosis. Howev...
EEG signal can be a good alternative for disabled persons who cannot perform actions or perform them...
OBJECTIVE: To present a deep learning-based approach for semi-automatic prostate cancer classificati...
One of the challenges in motor imagery (MI) classification tasks is finding an easy-handled electroe...
Automatic sleep staging methods usually extract hand-crafted features or network trained features fr...
DNA-binding proteins play an important role in cell metabolism. In biological laboratories, the dete...
This paper introduces an unsupervised adversarial similarity network for image registration. Unlike ...
OBJECTIVE: Predicting sepsis onset with a recurrent neural network and performance comparison with I...
In image classification, it is often expensive and time-consuming to acquire sufficient labels. To s...
Transfer learning has achieved a lot of success in deep neural networks to reuse useful knowledge fr...
To improve the performance of Intensive Care Units (ICUs), the field of bio-statistics has developed...
BACKGROUND: Multi-view data representation learning explores the relationship between the views and ...
Lung cancer is the leading cause of cancer deaths worldwide and early diagnosis of lung nodule is of...
Accurate automated quantitative Cobb angle estimation that quantitatively evaluates scoliosis plays ...
BACKGROUND: Researchers today are generating unprecedented amounts of biological data. One trend in ...
Magnetic resonance imaging (MRI) reconstruction is an active inverse problem which can be addressed ...
To identify prodromal correlates of asthma as compared to chronic obstructive pulmonary disease and...