Latest AI and machine learning research in strokes for healthcare professionals.
Rehabilitation is essential and critical for post-stroke patients, addressing both physical and co...
The rise of on-chip accelerators signifies a major shift in computing, driven by the growing deman...
Purpose: Enabling a comprehensive and robust assessment of carotid artery plaques in 3D through ex...
With the increasing demand for storing images, traditional image compression methods face challeng...
Mathematical reasoning in Large Language Models (LLMs) is often evaluated using benchmarks with li...
Ischaemic stroke, a leading cause of death and disability, critically relies on neuroimaging for c...
Fuzzy rule-based systems interpret data in low-dimensional domains, providing transparency and int...
Surprise Adequacy (SA) has been widely studied as a test adequacy metric that can effectively guid...
Focal deficits in ischaemic stroke result from impaired perfusion downstream of a critical vascula...
Intrapleural enzyme therapy (IET) with tissue plasminogen activator (tPA) and DNase has been shown ...
Rehabilitation following a stroke faces challenges in offering customized treatment and attaining th...
Stroke is globally a major cause of mortality and morbidity, and hence accurate and rapid diagnosi...
In this paper, we propose a privacy-enhancing technique leveraging an inherent property of automat...
Precise characterization of stroke lesions from MRI data has immense value in prognosticating clin...
Electrical impedance tomography (EIT) is a non-invasive imaging method for recovering the internal...
The Wi-Fi technology (IEEE 802.11) was introduced in 1997. With the increasing use and deployment ...
Network control theory (NCT) has recently been utilized in neuroscience to facilitate our understa...
Healthy brain networks usually show highly efficient information communication and self-sustained ...
From Paleolithic cave paintings to Impressionism, human painting has evolved to depict increasingl...
Ischemic stroke, caused by cerebral vessel occlusion, presents substantial challenges in medical i...
Recent work has investigated the concept of adversarial attacks on explainable AI (XAI) in the NLP...