Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
With the development of machine learning and artificial intelligence, many convolutional neural netw...
When deep convolutional neural networks (CNNs) are trained "end-to-end" on raw data, some of the fea...
BACKGROUND: Adequate self-management skills are of great importance for patients with chronic obstru...
Machine learning (ML) methods have the potential to automate clinical EEG analysis. They can be cate...
BACKGROUND: The number of applications of deep learning algorithms in bioinformatics is increasing a...
Tracklet association methods learn the cross camera retrieval ability though associating underlying ...
Pressure injuries represent a major concern in many nations. These wounds result from prolonged pres...
Recent advances in robotic systems have increased the need for various kinds of robots in many field...
Blood pressure (BP) is a vital sign that provides fundamental health information regarding patients....
Automated electrocardiogram (ECG) analysis for arrhythmia detection plays a critical role in early p...
Although fingerprint-based systems are the commonly used biometric systems, they suffer from a criti...
Stereo vision is a flourishing field, attracting the attention of many researchers. Recently, levera...
Automatic skin lesion analysis of dermoscopy images remains a challenging topic. In this paper, we p...
Attention based end-to-end speech synthesis achieves better performance in both prosody and quality ...
Neural coding is one of the central questions in systems neuroscience for understanding how the brai...
PURPOSE: Knee osteoarthritis (OA) is a common disease that impairs knee function and causes pain. Ra...
BACKGROUND: Recently developed methods of protein contact prediction, a crucially important step for...
Human face image analysis is an active research area within computer vision. In this paper we propos...
While prosthetic fitting after upper-limb loss allows for restoration of motor functions, it deprive...
A deep learning classifier for detecting seizures in neonates is proposed. This architecture is desi...
Image-to-image translation is considered a new frontier in the field of medical image analysis, with...