An overview of deep learning in medical imaging focusing on MRI

AS Lundervold, A Lundervold - ar** for clinical research in the brain: a consensus of the ISMRM electro‐magnetic tissue properties …
QSM Consensus Organization … - Magnetic resonance …, 2024 - Wiley Online Library
This article provides recommendations for implementing QSM for clinical brain research. It is
a consensus of the International Society of Magnetic Resonance in Medicine, Electro …

DeepQSM-using deep learning to solve the dipole inversion for quantitative susceptibility map**

S Bollmann, KGB Rasmussen, M Kristensen… - Neuroimage, 2019 - Elsevier
Quantitative susceptibility map** (QSM) is based on magnetic resonance imaging (MRI)
phase measurements and has gained broad interest because it yields relevant information …

Training data distribution significantly impacts the estimation of tissue microstructure with machine learning

NG Gyori, M Palombo, CA Clark… - Magnetic resonance …, 2022 - Wiley Online Library
Purpose Supervised machine learning (ML) provides a compelling alternative to traditional
model fitting for parameter map** in quantitative MRI. The aim of this work is to …