IEEE

Utilizing Radiomics and Deep Learning to Predict Post-Contrast Information From Contrast Agent-Free Cine Cardiac Magnetic Resonance Imaging

Abstract: Differentiating myocardial scar tissue from healthy myocardium and imaging artifacts is essential in clinical practice. This study investigates the feasibility of using radiomics and deep ...
eLife

Retrosplenial cortex enables context-dependent goal-directed sensorimotor transformation

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
IEEE

Leveraging Spatial and Temporal Data to Predict Heavy Freight Vehicle Traffic Flow on Rural Road Network

Abstract: Accurately predicting heavy freight vehicle (HFV) traffic flow is essential for optimizing service levels and improving road safety management. This study compares the performance of three ...
Analytics Insight

Avoid These 10 Machine Learning Project Mistakes

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
GitHub

Structural variation detection for short read via multi-source fusion and multi-channel visual filtering.

Structural variations (SVs) are a major source of genomic diversity and are closely associated with human disease. Existing short-read-based SV detection tools often rely on limited alignment features ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...