output
20132026
most citedDeep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection

21 citations

12 papers

cs.CV2026

Interpretable Temporal Facial-Region Motion Analysis for In-the-Wild Parkinson's Disease Video Classification

Riyadh Almushrafy

Reduced facial expressivity is a common motor manifestation of Parkinson's disease (PD), often described as hypomimia or facial bradykinesia. This paper examines whether temporal m…

cs.MA2026

Mapping Human Anti-collusion Mechanisms to Multi-agent AI Systems

Jamiu Idowu, Ahmed Almasoud, Ayman Alfahid

As multi-agent AI systems become increasingly autonomous, evidence shows they can develop collusive strategies similar to those long observed in human markets and institutions. Whi…

cs.CV2025

Weakly Supervised Continuous Micro-Expression Intensity Estimation Using Temporal Deep Neural Network

Riyadh Mohammed Almushrafy

Micro-facial expressions are brief and involuntary facial movements that reflect genuine emotional states. While most prior work focuses on classifying discrete micro-expression ca…

cs.CV2023★ 21 cited

Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection

Fabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun +7

The increasing reliance on Computed Tomography Pulmonary Angiography (CTPA) for Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved diagnostic so…

astro-ph.SR2022★ 18 cited

Magnetohydrodynamic wave mode identification in circular and elliptical sunspot umbrae: evidence for high order modes

A. B. Albidah, V. Fedun, A. A. Aldhafeeri +7

In this paper we provide clear direct evidence of multiple concurrent higher order magnetohydrodynamic (MHD) modes in circular and elliptical sunspots by applying both Proper Ortho…

cs.HC2022★ 16 cited

Physical Activity Recognition by Utilising Smartphone Sensor Signals

Abdulrahman Alruban, Hind Alobaidi, Nathan Clarke' Fudong Li

Human physical motion activity identification has many potential applications in various fields, such as medical diagnosis, military sensing, sports analysis, and human-computer se…