most citedDeep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas

25 citations · 66 across the 4 of their papers we have counts for

collaborators

5 papers

physics.med-ph2021★ 14 cited

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…

physics.med-ph2021★ 25 cited

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…

physics.med-ph2020★ 13 cited

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…

cs.CE2020

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…

physics.med-ph2020★ 14 cited

MR-Based PET Attenuation Correction using a Combined Ultrashort Echo Time/Multi-Echo Dixon Acquisition

Paul Kyu Han, Debra E. Horng, Kuang Gong +7

We propose a magnetic resonance (MR)-based method for estimation of continuous linear attenuation coefficients (LAC) in positron emission tomography (PET) using a physical compartm…