Cardiovascular

Strokes

Latest AI and machine learning research in strokes for healthcare professionals.

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THOR: A Non-Speculative Value Dependent Timing Side Channel Attack Exploiting Intel AMX

The rise of on-chip accelerators signifies a major shift in computing, driven by the growing deman...

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Carotid Artery Plaque Analysis in 3D Based on Distance Encoding in Mesh Representations

Purpose: Enabling a comprehensive and robust assessment of carotid artery plaques in 3D through ex...

A Fast Quantum Image Compression Algorithm based on Taylor Expansion

With the increasing demand for storing images, traditional image compression methods face challeng...

Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges

Mathematical reasoning in Large Language Models (LLMs) is often evaluated using benchmarks with li...

(1)
Generalizable automated ischaemic stroke lesion segmentation with vision transformers

Ischaemic stroke, a leading cause of death and disability, critically relies on neuroimaging for c...

(1)
Rule-Based Modeling of Low-Dimensional Data with PCA and Binary Particle Swarm Optimization (BPSO) in ANFIS

Fuzzy rule-based systems interpret data in low-dimensional domains, providing transparency and int...

DANDI: Diffusion as Normative Distribution for Deep Neural Network Input

Surprise Adequacy (SA) has been widely studied as a test adequacy metric that can effectively guid...

Deep generative computed perfusion-deficit mapping of ischaemic stroke

Focal deficits in ischaemic stroke result from impaired perfusion downstream of a critical vascula...

(1)
Machine Learning Model Predictors of Intrapleural Tissue Plasminogen Activator and DNase Failure in Pleural Infection: A Multicenter Study.

Intrapleural enzyme therapy (IET) with tissue plasminogen activator (tPA) and DNase has been shown ...

Feb 2025 39471322
Integrating Artificial Intelligence in Stroke Rehabilitation: Current Trends and Future Directions; A mini review.

Rehabilitation following a stroke faces challenges in offering customized treatment and attaining th...

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Feb 2025 39948807
Advanced Assessment of Stroke in Retinal Fundus Imaging with Deep Multi-view Learning

Stroke is globally a major cause of mortality and morbidity, and hence accurate and rapid diagnosi...

A Privacy Enhancing Technique to Evade Detection by Street Video Cameras Without Using Adversarial Accessories

In this paper, we propose a privacy-enhancing technique leveraging an inherent property of automat...

Stroke Lesion Segmentation using Multi-Stage Cross-Scale Attention

Precise characterization of stroke lesions from MRI data has immense value in prognosticating clin...

Stroke classification using Virtual Hybrid Edge Detection from in silico electrical impedance tomography data

Electrical impedance tomography (EIT) is a non-invasive imaging method for recovering the internal...

False Sense of Security on Protected Wi-Fi Networks

The Wi-Fi technology (IEEE 802.11) was introduced in 1997. With the increasing use and deployment ...

A new perspective on brain stimulation interventions: Optimal stochastic tracking control of brain network dynamics

Network control theory (NCT) has recently been utilized in neuroscience to facilitate our understa...

Recovery of activation propagation and self-sustained oscillation abilities in stroke brain networks

Healthy brain networks usually show highly efficient information communication and self-sustained ...

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Emergence of Painting Ability via Recognition-Driven Evolution

From Paleolithic cave paintings to Impressionism, human painting has evolved to depict increasingl...

Deep Learning-Driven Segmentation of Ischemic Stroke Lesions Using Multi-Channel MRI

Ischemic stroke, caused by cerebral vessel occlusion, presents substantial challenges in medical i...

Towards Robust and Accurate Stability Estimation of Local Surrogate Models in Text-based Explainable AI

Recent work has investigated the concept of adversarial attacks on explainable AI (XAI) in the NLP...

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