113 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Massachusetts General HospitalUS15 papers
- Harvard UniversityUS14 papers
- Laboratoire Traitement et Communication de l’InformationFR3 papers
- Télécom ParisFR3 papers
- Yale UniversityUS3 papers
- Peking UniversityCN2 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Beijing International Studies UniversityCN1 paper
- Brigham and Women's HospitalUS1 paper
- Cerevel Therapeutics (United States)US1 paper
- Chulalongkorn UniversityTH1 paper
- Cleveland ClinicUS1 paper
3 papers · 1 filter
Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET
Xiaofeng Liu, Thibault Marin, Tiss Amal +3
Background: In medical imaging, images are usually treated as deterministic, while their uncertainties are largely underexplored. Purpose: This work aims at using deep learning to…
Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement
Juan Liu, Masoud Malekzadeh, Niloufar Mirian +3
High noise and low spatial resolution are two key confounding factors that limit the qualitative and quantitative accuracy of PET images. AI models for image denoising and deblurri…
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network
Jianan Cui, Kuang Gong, Paul Han +2
Arterial spin labeling (ASL) magnetic resonance imaging (MRI) is a powerful imaging technology that can measure cerebral blood flow (CBF) quantitatively. However, since only a smal…