DeepCEST 3T: Robust MRI parameter determination and uncertainty quantification with neural networks—application to CEST imaging of the human brain at 3T
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Klaus Scheffler | Moritz Zaiss | Benjamin Bender | Anagha Deshmane | Sergey Prokudin | Kai Herz | Tobias Lindig | Felix Glang | Florian Martin | K. Scheffler | B. Bender | K. Herz | F. Glang | A. Deshmane | M. Zaiss | T. Lindig | S. Prokudin | F. Martin
[1] Sebastian Weingärtner,et al. Oxygen extraction fraction mapping at 3 Tesla using an artificial neural network: A feasibility study , 2018, Magnetic resonance in medicine.
[2] Iris Yuwen Zhou,et al. Quantitative chemical exchange saturation transfer (CEST) MRI of glioma using Image Downsampling Expedited Adaptive Least-squares (IDEAL) fitting , 2017, Scientific Reports.
[3] John A. Detre,et al. Magnetic Resonance Imaging of Glutamate , 2011, Nature Medicine.
[4] C. Morrison,et al. A Model for Magnetization Transfer in Tissues , 1995, Magnetic resonance in medicine.
[5] Doina Precup,et al. Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation , 2018, MICCAI.
[6] Ravinder Reddy,et al. Method for high‐resolution imaging of creatine in vivo using chemical exchange saturation transfer , 2014, Magnetic resonance in medicine.
[7] Xavier Golay,et al. Assessment of a clinically feasible Bayesian fitting algorithm using a simplified description of Chemical Exchange Saturation Transfer (CEST) imaging. , 2018, Journal of magnetic resonance.
[8] Daniel Paech,et al. Correction of B1‐inhomogeneities for relaxation‐compensated CEST imaging at 7 T , 2015, NMR in biomedicine.
[9] Klaus Scheffler,et al. Adaptive denoising for chemical exchange saturation transfer MR imaging , 2019, NMR in biomedicine.
[10] M. McMahon,et al. Rapid and quantitative chemical exchange saturation transfer (CEST) imaging with magnetic resonance fingerprinting (MRF) , 2017, Magnetic resonance in medicine.
[11] Klaus Scheffler,et al. 3D gradient echo snapshot CEST MRI with low power saturation for human studies at 3T , 2018, Magnetic resonance in medicine.
[12] Zoubin Ghahramani,et al. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning , 2015, ICML.
[13] Philip S Boyd,et al. Relaxation‐compensated APT and rNOE CEST‐MRI of human brain tumors at 3 T , 2019, Magnetic resonance in medicine.
[14] Peter Jezzard,et al. Quantitative Bayesian model‐based analysis of amide proton transfer MRI , 2013, Magnetic resonance in medicine.
[15] Jinyuan Zhou,et al. Quantitative characterization of nuclear overhauser enhancement and amide proton transfer effects in the human brain at 7 tesla , 2013, Magnetic resonance in medicine.
[16] Klaus Scheffler,et al. Snapshot‐CEST: Optimizing spiral‐centric‐reordered gradient echo acquisition for fast and robust 3D CEST MRI at 9.4 T , 2018, NMR in biomedicine.
[17] Hye-Young Heo,et al. Quantitative assessment of amide proton transfer (APT) and nuclear overhauser enhancement (NOE) imaging with extrapolated semisolid magnetization transfer reference (EMR) signals: II. Comparison of three EMR models and application to human brain glioma at 3 Tesla , 2016, Magnetic resonance in medicine.
[18] L. Schad,et al. Diffusion parameter mapping with the combined intravoxel incoherent motion and kurtosis model using artificial neural networks at 3 T , 2017, NMR in biomedicine.
[19] Hye-Young Heo,et al. Quantitative assessment of amide proton transfer (APT) and nuclear overhauser enhancement (NOE) imaging with extrapolated semi‐solid magnetization transfer reference (EMR) signals: Application to a rat glioma model at 4.7 tesla , 2016, Magnetic resonance in medicine.
[20] K. Scheffler,et al. DeepCEST: 9.4 T Chemical exchange saturation transfer MRI contrast predicted from 3 T data – a proof of concept study , 2019, Magnetic resonance in medicine.
[21] SchmidhuberJürgen. Deep learning in neural networks , 2015 .
[22] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[23] Zoubin Ghahramani,et al. Deep Bayesian Active Learning with Image Data , 2017, ICML.
[24] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[25] R W Cox,et al. Software tools for analysis and visualization of fMRI data , 1997, NMR in biomedicine.
[26] Benjamin Schmitt,et al. Relaxation-compensated CEST-MRI of the human brain at 7T: Unbiased insight into NOE and amide signal changes in human glioblastoma , 2015, NeuroImage.
[27] Klaus Scheffler,et al. Chemical exchange saturation transfer MRI contrast in the human brain at 9.4 T , 2018, NeuroImage.
[28] R S Balaban,et al. Determination of pH using water protons and chemical exchange dependent saturation transfer (CEST) , 2000, Magnetic resonance in medicine.
[29] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[30] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[31] C. M. Roach,et al. Fast curve fitting using neural networks , 1992 .
[32] Bo Zhu,et al. MR fingerprinting Deep RecOnstruction NEtwork (DRONE) , 2017, Magnetic resonance in medicine.
[33] Jinyuan Zhou,et al. Using the amide proton signals of intracellular proteins and peptides to detect pH effects in MRI , 2003, Nature Medicine.
[34] Sebastian Nowozin,et al. Deep Directional Statistics: Pose Estimation with Uncertainty Quantification , 2018, ECCV.
[35] Klaus Scheffler,et al. Possible artifacts in dynamic CEST MRI due to motion and field alterations. , 2019, Journal of magnetic resonance.
[36] M. Jorge Cardoso,et al. Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning , 2018, MICCAI.
[37] Stefan Roth,et al. Lightweight Probabilistic Deep Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[38] Alex Kendall,et al. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? , 2017, NIPS.
[39] Daniel Paech,et al. Downfield‐NOE‐suppressed amide‐CEST‐MRI at 7 Tesla provides a unique contrast in human glioblastoma , 2017, Magnetic resonance in medicine.