activity
20182026
most citedUncertainty Propagation from Projections to Region Counts in Tomographic Imaging: Application to Radiopharmaceutical Dosimetry

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2026

Virtual Theranostic Trials: New Approach Methodologies (NAMs) and Precision Radiopharmaceutical Therapies

Carlos F. Uribe, Hamid Abdollahi, Tahir Yusufaly +7

Radiopharmaceutical therapies are expanding rapidly, but clinical evidence generation is limited by operational constraints and biological heterogeneity in radiopharmaceutical deli…

physics.med-ph2025

Seeing More, Treating Smarter: Role of Long-Axial Field-of-View PET-CT in The Evolution of Theranostics

Pedro L. Esquinas, Fereshteh Yousefirizi, Ian Alberts +3

Long-axial field-of-view (LAFOV) PET/CT has the potential to redefine the role of molecular imaging in theranostics by making multiparametric whole-body (MPWB) imaging and predicti…

physics.med-ph2024★ 1 cited

Uncertainty Propagation from Projections to Region Counts in Tomographic Imaging: Application to Radiopharmaceutical Dosimetry

Lucas Polson, Sara Kurkowska, Chenguang Li +6

Radiopharmaceutical therapies (RPTs) present a major opportunity to improve cancer therapy. Although many current RPTs use the same injected activity for all patients, there is int…

physics.med-ph2024★ 1 cited

Computationally Efficient Collimator-Detector Response Compensation in High Energy SPECT using 1D Convolutions and Rotations

Lucas Polson, Pedro Esquinas, Sara Kurkowska +7

Modeling of the collimator-detector response (CDR) in SPECT reconstruction enables improved resolution and accuracy, and is thus important for quantitative imaging applications suc…

physics.med-ph2018

Learning from our neighbours: a novel approach on sinogram completion using bin-sharing and deep learning to reconstruct high quality 4DCBCT

Joel Beaudry, Pedro L. Esquinas

Inspired by the success of deep learning applications on restoration of low-dose and sparse CT images, we propose a novel method to reconstruct high-quality 4D cone-beam CT (4DCBCT…