25 citations · 58 across the 6 of their papers we have counts for
7 papers
Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference
Xiaofeng Liu, Thibault Marin, Tiss Amal +3
This work aims efficiently estimating the posterior distribution of kinetic parameters for dynamic positron emission tomography (PET) imaging given a measurement of time of activit…
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…
Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures
Xiaofeng Liu, Fangxu Xing, Thibault Marin +2
Lesions or organ boundaries visible through medical imaging data are often ambiguous, thus resulting in significant variations in multi-reader delineations, i.e., the source of ale…
Free-breathing 3D Cardiac T1 Mapping with Transmit B1 Correction at 3T
Paul Kyu Han, Thibault Marin, Yanis Djebra +4
Purpose: To develop a cardiac T1 mapping method for free-breathing 3D T1 mapping of the whole heart at 3T with transmit B1 (B1+) correction Methods: A free-breathing, ECG-gated inv…
Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas
Thibault Marin, Yue Zhuo, Rita Maria Lahoud +11
Background and purpose: The delineation of the gross tumor volume (GTV) is a critical step for radiation therapy treatment planning. The delineation procedure is typically performe…
Motion correction for PET using subspace-based real-time MR imaging in simultaneous PET/MR
Thibault Marin, Yanis Djebra, Paul K. Han +6
Image quality of PET reconstructions is degraded by subject motion occurring during the acquisition. MR-based motion correction approaches have been studied for PET/MR scanners and…
Accelerating MRI Reconstruction on TPUs
Tianjian Lu, Thibault Marin, Yue Zhuo +2
The advanced magnetic resonance (MR) image reconstructions such as the compressed sensing and subspace-based imaging are considered as large-scale, iterative, optimization problems…