output
20092025
most citedAssemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species

742 citations

Showing physics.med-phShow all

15 papers · 1 filter

physics.med-ph2025

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…

physics.med-ph2024★ 4 cited

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…

physics.med-ph2023★ 6 cited

PSMA PET/CT as a predictive tool for sub-regional importance estimates in the parotid gland

Caleb Sample, Arman Rahmim, François Bénard +2

Xerostomia and radiation-induced salivary gland dysfunction remain a common side effect for head-and-neck radiotherapy patients, and attempts have been made to quantify the heterog…

physics.med-ph2023★ 8 cited

Neural blind deconvolution for deblurring and supersampling PSMA PET

Caleb Sample, Arman Rahmim, Carlos Uribe +4

Objective: To simultaneously deblur and supersample prostate specific membrane antigen (PSMA) positron emission tomography (PET) images using neural blind deconvolution. Approach:…

physics.med-ph2022★ 11 cited

Quasi-Real Time Multi-Frequency 3D Shear Wave Absolute Vibro-Elastography (S-WAVE) System for Prostate

Tajwar Abrar Aleef, Julio Lobo, Ali Baghani +7

This article describes a novel quasi-real time system for quantitative and volumetric measurement of tissue elasticity in the prostate. Tissue elasticity is computed by using a loc…

physics.med-ph2021★ 1 cited

AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics

Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar +3

Artificial intelligence (AI) techniques have significant potential to enable effective, robust and automated image phenotyping including identification of subtle patterns. AI-based…