Frequency and phase correction of J‐difference edited MR spectra using deep learning
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Frequency and phase correction of J‐difference edited MR spectra using deep learning
Authors
Keywords
-
Journal
MAGNETIC RESONANCE IN MEDICINE
Volume 85, Issue 4, Pages 1755-1765
Publisher
Wiley
Online
2020-11-19
DOI
10.1002/mrm.28525
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A review of deep learning with special emphasis on architectures, applications and recent trends
- (2020) Saptarshi Sengupta et al. KNOWLEDGE-BASED SYSTEMS
- Reconstruction of spectra from truncated free induction decays by deep learning in proton magnetic resonance spectroscopy
- (2020) Hyochul Lee et al. MAGNETIC RESONANCE IN MEDICINE
- Deep learning‐based target metabolite isolation and big data‐driven measurement uncertainty estimation in proton magnetic resonance spectroscopy of the brain
- (2020) Hyeong Hun Lee et al. MAGNETIC RESONANCE IN MEDICINE
- Osprey: Open-source processing, reconstruction & estimation of magnetic resonance spectroscopy data
- (2020) Georg Oeltzschner et al. JOURNAL OF NEUROSCIENCE METHODS
- Methodological consensus on clinical proton MRS of the brain: Review and recommendations
- (2019) Martin Wilson et al. MAGNETIC RESONANCE IN MEDICINE
- Intact metabolite spectrum mining by deep learning in proton magnetic resonance spectroscopy of the brain
- (2019) Hyeong Hun Lee et al. MAGNETIC RESONANCE IN MEDICINE
- Big GABA II: Water-referenced edited MR spectroscopy at 25 research sites
- (2019) Mark Mikkelsen et al. NEUROIMAGE
- Super-Resolution 1H Magnetic Resonance Spectroscopic Imaging Utilizing Deep Learning
- (2019) Zohaib Iqbal et al. Frontiers in Oncology
- Deep learning approaches for detection and removal of ghosting artifacts in MR spectroscopy
- (2018) Sreenath P. Kyathanahally et al. MAGNETIC RESONANCE IN MEDICINE
- A convolutional neural network to filter artifacts in spectroscopic MRI
- (2018) Saumya S. Gurbani et al. MAGNETIC RESONANCE IN MEDICINE
- Difference optimization: Automatic correction of relative frequency and phase for mean non-edited and edited GABA 1 H MEGA-PRESS spectra
- (2017) Marianne Cleve et al. JOURNAL OF MAGNETIC RESONANCE
- Edited1H magnetic resonance spectroscopy in vivo: Methods and metabolites
- (2017) Ashley D. Harris et al. MAGNETIC RESONANCE IN MEDICINE
- Automatic frequency and phase alignment of in vivo J-difference-edited MR spectra by frequency domain correlation
- (2017) Evita C. Wiegers et al. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
- Big GABA: Edited MR spectroscopy at 24 research sites
- (2017) Mark Mikkelsen et al. NEUROIMAGE
- Advanced processing and simulation of MRS data using the FID appliance (FID-A)-An open source, MATLAB-based toolkit
- (2015) Robin Simpson et al. MAGNETIC RESONANCE IN MEDICINE
- Two-site reproducibility of cerebellar and brainstem neurochemical profiles with short-echo, single-voxel MRS at 3T
- (2014) Dinesh K. Deelchand et al. MAGNETIC RESONANCE IN MEDICINE
- Frequency and phase drift correction of magnetic resonance spectroscopy data by spectral registration in the time domain
- (2014) Jamie Near et al. MAGNETIC RESONANCE IN MEDICINE
- Gannet: A batch-processing tool for the quantitative analysis of gamma-aminobutyric acid-edited MR spectroscopy spectra
- (2013) Richard A.E. Edden et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Impact of frequency drift on gamma-aminobutyric acid-edited MR spectroscopy
- (2013) Ashley D. Harris et al. MAGNETIC RESONANCE IN MEDICINE
- Subtraction artifacts and frequency (Mis-)alignment inJ-difference GABA editing
- (2012) C. John Evans et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started