8 citations · 21 across the 9 of their papers we have counts for
4 papers · 2 filters
How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models
Amirhosein Toosi, Sara Harsini, François Bénard +2
Prostate specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) imaging provides a tremendously exciting frontier in visualization of prostate c…
Novel Method to Estimate Kinetic Microparameters from Dynamic Whole-Body Imaging in Regular-Axial Field-of-View PET Scanners
Kyung-Nam Lee, Arman Rahmim, Carlos Uribe
For whole-body (WB) kinetic modeling based on a typical PET scanner, a multi-pass multi-bed scanning protocol is necessary given the limited axial field-of-view. Such a protocol in…
RT-utils: A Minimal Python Library for RT-struct Manipulation
Asim Shrestha, Adam Watkins, Fereshteh Yousefirizi +2
Towards the need for automated and precise AI-based analysis of medical images, we present RT-utils, a specialized Python library tuned for the manipulation of radiotherapy (RT) st…
Investigating heterogeneous PSMA ligand uptake inside parotid glands
Caleb Sample, Carlos Uribe, Arman Rahmim +3
The purpose was to investigate the spatial heterogeneity of prostate-specific membrane antigen (PSMA) positron emission tomography (PET) uptake within parotid glands. We aim to qua…