11 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of British ColumbiaCA5 papers
- University of British Columbia HospitalCA3 papers
- BC Cancer AgencyCA2 papers
- Guy's and St Thomas' NHS Foundation TrustGB2 papers
- King's College LondonGB2 papers
- King's College SchoolGB2 papers
- St Thomas' HospitalGB2 papers
- University Hospital of BernCH2 papers
- University of BernCH2 papers
- BC Children's HospitalCA1 paper
- BC Research (Canada)CA1 paper
- Golestan UniversityIR1 paper
4 papers · 1 filter
Predictive Dosimetry in PSMA-Targeted Radiopharmaceutical Therapies: A PBPK Modeling and Machine Learning Study
Hamid Abdollahi, James Fowler, Carlos Uribe +1
Predictive dosimetry is central to enabling personalized radiopharmaceutical therapy (RPT), particularly in prostate specific membrane antigen (PSMA) targeted theranostics. In this…
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…
AI-Augmented Thyroid Scintigraphy for Robust Classification of Disease
Maziar Sabouri, Ghasem Hajianfar, Alireza Rafiei Sardouei +11
Thyroid scintigraphy is vital for diagnosing thyroid disorders, yet deep learning (DL) models in this domain often struggle with limited, imbalanced datasets. This study investigat…