output
20152026
most citedMachine learning and glioma imaging biomarkers

102 citations

Showing 2025Show all

6 papers · 1 filter

physics.med-ph20251 cited

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…

physics.med-ph20252 cited

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…

physics.med-ph2025

In Silico Evaluation of Cardiac Tissue-Engineered Patch Interventions

John Patrick Sayut, Javiera Jilberto, Mia Bonini +3

Myocardial infarction significantly degrades heart function, and current treatments can bring forth serious cost and complications including blood clots and infections. To improve…

physics.med-ph2025

Supervised Diffusion-Model-Based PET Image Reconstruction

George Webber, Alexander Hammers, Andrew P King +1

Diffusion models (DMs) have recently been introduced as a regularizing prior for PET image reconstruction, integrating DMs trained on high-quality PET images with unsupervised sche…

q-bio.NC20254 cited

Small brains but big challenges: white matter tractography in early life samples

Jessica Dubois, Mareike Grotheer, Joseph Yuan-Mou Yang +3

In the human brain, white matter development is a complex and long-lasting process involving intermingling micro-and macrostructural mechanisms, such as fiber growth, pruning and m…

cs.LG202512 cited

Reinforcement Learning for Safe Autonomous Two Device Navigation of Cerebral Vessels in Mechanical Thrombectomy

Harry Robertshaw, Benjamin Jackson, Jiaheng Wang +4

Purpose: Autonomous systems in mechanical thrombectomy (MT) hold promise for reducing procedure times, minimizing radiation exposure, and enhancing patient safety. However, current…