Weiser P, Langs G, Motyka S, Bogner W, Courvoisier S, Hoffmann M
Magn Reson Med. 2024; 93(4):1430-1442.
PMID: 39737778
PMC: 11782715.
DOI: 10.1002/mrm.30402.
Yoo H, Lee H, Nga V, Choi Y, Lim J
Neurol Int. 2024; 16(6):1856-1877.
PMID: 39728759
PMC: 11679972.
DOI: 10.3390/neurolint16060133.
Xia Y, Yu Z
Gen Psychiatr. 2024; 37(6):e101436.
PMID: 39717668
PMC: 11664349.
DOI: 10.1136/gpsych-2023-101436.
Houhou R, Bocklitz T
Anal Sci Adv. 2024; 2(3-4):128-141.
PMID: 38716450
PMC: 10989568.
DOI: 10.1002/ansa.202000162.
Berto R, Bugler H, Dias G, Oliveira M, Ueda L, Dertkigil S
MAGMA. 2024; 37(3):449-463.
PMID: 38613715
DOI: 10.1007/s10334-024-01156-9.
Fusion Networks of CNN and Transformer with Channel Attention for Accurate Tumor Imaging in Magnetic Particle Imaging.
Shang Y, Liu J, Wang Y
Biology (Basel). 2024; 13(1).
PMID: 38275723
PMC: 11154287.
DOI: 10.3390/biology13010002.
Comparison of convolutional-neural-networks-based method and LCModel on the quantification of in vivo magnetic resonance spectroscopy.
Huang Y, Lin Y, Tsai S
MAGMA. 2023; 37(3):477-489.
PMID: 37713007
DOI: 10.1007/s10334-023-01120-z.
Evaluation of deep learning models for quality control of MR spectra.
Vaziri S, Liu H, Xie E, Ratiney H, Sdika M, Lupo J
Front Neurosci. 2023; 17:1219343.
PMID: 37706154
PMC: 10495580.
DOI: 10.3389/fnins.2023.1219343.
Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study.
Ungan G, Pons-Escoda A, Ulinic D, Arus C, Vellido A, Julia-Sape M
Cancers (Basel). 2023; 15(14).
PMID: 37509372
PMC: 10377805.
DOI: 10.3390/cancers15143709.
Quantification of spatially localized MRS by a novel deep learning approach without spectral fitting.
Zhang Y, Shen J
Magn Reson Med. 2023; 90(4):1282-1296.
PMID: 37183798
PMC: 10524908.
DOI: 10.1002/mrm.29711.
Model-informed unsupervised deep learning approaches to frequency and phase correction of MRS signals.
Shamaei A, Starcukova J, Pavlova I, Starcuk Jr Z
Magn Reson Med. 2022; 89(3):1221-1236.
PMID: 36367249
PMC: 10098589.
DOI: 10.1002/mrm.29498.
Impact of gradient scheme and non-linear shimming on out-of-voxel echo artifacts in edited MRS.
Song Y, Zollner H, Hui S, Hupfeld K, Oeltzschner G, Edden R
NMR Biomed. 2022; 36(2):e4839.
PMID: 36196802
PMC: 9845189.
DOI: 10.1002/nbm.4839.
In vivo magnetic resonance P-Spectral Analysis With Neural Networks: 31P-SPAWNN.
Songeon J, Courvoisier S, Xin L, Agius T, Dabrowski O, Longchamp A
Magn Reson Med. 2022; 89(1):40-53.
PMID: 36161342
PMC: 9828468.
DOI: 10.1002/mrm.29446.
Convolutional neural networks to predict brain tumor grades and Alzheimer's disease with MR spectroscopic imaging data.
Acquarelli J, Laarhoven T, Postma G, Jansen J, Rijpma A, van Asten S
PLoS One. 2022; 17(8):e0268881.
PMID: 36001537
PMC: 9401174.
DOI: 10.1371/journal.pone.0268881.
Developments in proton MR spectroscopic imaging of prostate cancer.
Stamatelatou A, Scheenen T, Heerschap A
MAGMA. 2022; 35(4):645-665.
PMID: 35445307
PMC: 9363347.
DOI: 10.1007/s10334-022-01011-9.
Identifying the source of spurious signals caused by B inhomogeneities in single-voxel H MRS.
Shams Z, Klomp D, Boer V, Wijnen J, Wiegers E
Magn Reson Med. 2022; 88(1):71-82.
PMID: 35344600
PMC: 9311141.
DOI: 10.1002/mrm.29222.
Deep Learning and Its Application to Function Approximation for MR in Medicine: An Overview.
Takeshima H
Magn Reson Med Sci. 2021; 21(4):553-568.
PMID: 34544924
PMC: 9618926.
DOI: 10.2463/mrms.rev.2021-0040.
Determination of the Geographical Origin of Coffee Beans Using Terahertz Spectroscopy Combined With Machine Learning Methods.
Yang S, Li C, Mei Y, Liu W, Liu R, Chen W
Front Nutr. 2021; 8:680627.
PMID: 34222305
PMC: 8247636.
DOI: 10.3389/fnut.2021.680627.
Estimation and removal of spurious echo artifacts in single-voxel MRS using sensitivity encoding.
Berrington A, Povazan M, Barker P
Magn Reson Med. 2021; 86(5):2339-2352.
PMID: 34184324
PMC: 8530843.
DOI: 10.1002/mrm.28848.
Deep learning can accelerate and quantify simulated localized correlated spectroscopy.
Iqbal Z, Nguyen D, Thomas M, Jiang S
Sci Rep. 2021; 11(1):8727.
PMID: 33888805
PMC: 8062502.
DOI: 10.1038/s41598-021-88158-y.
