299 citations
- King's College LondonGB86 papers
- King's College - North CarolinaUS13 papers
- Imperial College LondonGB6 papers
- University College LondonGB6 papers
- European Organization for Nuclear ResearchCH5 papers
- Queen Mary University of LondonGB5 papers
- University of CambridgeGB5 papers
- University of OxfordGB5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Guy's and St Thomas' NHS Foundation TrustGB4 papers
- King's College Hospital NHS Foundation TrustGB4 papers
- St Thomas' HospitalGB4 papers
7 papers · 1 filter
Anchor-and-Connect: Robotic Aerial Base Stations Transforming 6G Infrastructure
Wen Shang, Yuan Liao, Vasilis Friderikos +1
Despite the significant attention that aerial base stations (ABSs) have received recently, their practical implementation is severely weakened by their limited endurance due to the…
Dependently Sorted Nominal Signatures
Maribel Fernández, Miguel Pagano, Nora Szasz +1
We investigate an extension of nominal many-sorted signatures in which abstraction has a form of instantiation, called generalised concretion, as elimination operator (similarly to…
World Model for AI Autonomous Navigation in Mechanical Thrombectomy
Harry Robertshaw, Han-Ru Wu, Alejandro Granados +1
Autonomous navigation for mechanical thrombectomy (MT) remains a critical challenge due to the complexity of vascular anatomy and the need for precise, real-time decision-making. R…
A modified RIME algorithm with covariance learning and diversity enhancement for numerical optimization
Shangqing Shi, Luoxiao Zhang, Yuchen Yin +2
Metaheuristics are widely applied for their ability to provide more efficient solutions. The RIME algorithm is a recently proposed physical-based metaheuristic algorithm with certa…
Advancing Positron Emission Tomography Image Quantification: Artificial Intelligence-Driven Methods, Clinical Challenges, and Emerging Opportunities in Long-Axial Field-of-View Positron Emission Tomography/Computed Tomography Imaging
Fereshteh Yousefirizi, Movindu Dassanayake, Alejandro Lopez +6
MTV is increasingly recognized as an accurate estimate of disease burden, which has prognostic value, but its implementation has been hindered by the time-consuming need for manual…
Artificial Intelligence-Guided PET Image Reconstruction and Multi-Tracer Imaging: Novel Methods, Challenges, And Opportunities
Movindu Dassanayake, Alejandro Lopez, Andrew Reader +6
LAFOV PET/CT has the potential to unlock new applications such as ultra-low dose PET/CT imaging, multiplexed imaging, for biomarker development and for faster AI-driven reconstruct…