-
2
-
-
33747581732
-
Image reconstruction from incomplete and noisy data
-
Gull, S. F. & Daniell, G. J. Image reconstruction from incomplete and noisy data. Nature 272, 686-690 (1978).
-
(1978)
Nature
, vol.272
, pp. 686-690
-
-
Gull, S.F.1
Daniell, G.J.2
-
4
-
-
79551517886
-
Fast model-based X-ray CT reconstruction using spatially nonhomogeneous ICD optimization
-
Yu, Z., Thibault, J.-B., Bouman, C. A., Sauer, K. D. & Hsieh, J. Fast model-based X-ray CT reconstruction using spatially nonhomogeneous ICD optimization. IEEE Trans. Image Process. 20, 161-175 (2011).
-
(2011)
IEEE Trans. Image Process.
, vol.20
, pp. 161-175
-
-
Yu, Z.1
Thibault, J.-B.2
Bouman, C.A.3
Sauer, K.D.4
Hsieh, J.5
-
5
-
-
0034794323
-
Advances in sensitivity encoding with arbitrary k-space trajectories
-
Pruessmann, K. P., Weiger, M., Börnert, P. & Boesiger, P. Advances in sensitivity encoding with arbitrary k-space trajectories. Magn. Reson. Med. 46, 638-651 (2001).
-
(2001)
Magn. Reson. Med.
, vol.46
, pp. 638-651
-
-
Pruessmann, K.P.1
Weiger, M.2
Börnert, P.3
Boesiger, P.4
-
6
-
-
85032751458
-
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
-
Hinton, G. et al. Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups. IEEE Signal Process. Mag. 29, 82-97 (2012).
-
(2012)
IEEE Signal Process. Mag.
, vol.29
, pp. 82-97
-
-
Hinton, G.1
-
8
-
-
0035855757
-
The neural basis of perceptual learning
-
Gilbert, C. D., Sigman, M. & Crist, R. E. The neural basis of perceptual learning. Neuron 31, 681-697 (2001).
-
(2001)
Neuron
, vol.31
, pp. 681-697
-
-
Gilbert, C.D.1
Sigman, M.2
Crist, R.E.3
-
9
-
-
79951768819
-
Visual perceptual learning
-
Lu, Z.-L., Hua, T., Huang, C.-B., Zhou, Y. & Dosher, B. A. Visual perceptual learning. Neurobiol. Learn. Mem. 95, 145-151 (2011).
-
(2011)
Neurobiol. Learn. Mem.
, vol.95
, pp. 145-151
-
-
Lu, Z.-L.1
Hua, T.2
Huang, C.-B.3
Zhou, Y.4
Dosher, B.A.5
-
10
-
-
56449089103
-
Extracting and composing robust features with denoising autoencoders
-
Vincent, P., Larochelle, H., Bengio, Y. & Manzagol, P.-A. Extracting and composing robust features with denoising autoencoders. In Proc. 25th Int. Conf. on 'Machine Learning' 1096-1103, http://www.cs.toronto.edu/- larocheh/publications/icml-2008-denoising-autoencoders.pdf (2008).
-
(2008)
Proc. 25th Int. Conf. on 'Machine Learning'
, pp. 1096-1103
-
-
Vincent, P.1
Larochelle, H.2
Bengio, Y.3
Manzagol, P.-A.4
-
11
-
-
0031619907
-
Neural network based solution to inverse problems
-
Ogawa, T., Kosugi, Y. & Kanada, H. Neural network based solution to inverse problems. In IEEE World Congr. on 'Computational Intelligence' Vol. 3, 2471-2476, http://ieeexplore.ieee.org/document/687250/ (1998).
-
(1998)
IEEE World Congr. on 'Computational Intelligence'
, vol.3
, pp. 2471-2476
-
-
Ogawa, T.1
Kosugi, Y.2
Kanada, H.3
-
12
-
-
0033563923
-
Neural network for emulation of an inverse model operational derivation of Case II water properties from MERIS data
-
Schiller, H. & Doerffer, R. Neural network for emulation of an inverse model operational derivation of Case II water properties from MERIS data. Int. J. Remote Sens. 20, 1735-1746 (1999).
-
(1999)
Int. J. Remote Sens.
, vol.20
, pp. 1735-1746
-
-
Schiller, H.1
Doerffer, R.2
-
13
-
-
0027556687
-
Artificial neural networks in the solution of inverse electromagnetic field problems
-
Hoole, S. R. H. Artificial neural networks in the solution of inverse electromagnetic field problems. IEEE Trans. Magn. 29, 1931-1934 (1993).
-
(1993)
IEEE Trans. Magn.
, vol.29
, pp. 1931-1934
-
-
Hoole, H.S.R.1
-
14
-
-
0026223233
-
An artificial neural network for SPECT image reconstruction
-
Floyd, C. E. An artificial neural network for SPECT image reconstruction. IEEE Trans. Med. Imaging 10, 485-487 (1991).
-
(1991)
IEEE Trans. Med. Imaging
, vol.10
, pp. 485-487
-
-
Floyd, E.C.1
-
15
-
-
84886929881
-
Fast tomographic reconstruction from limited data using artificial neural networks
-
Pelt, D. M. & Batenburg, K. J. Fast tomographic reconstruction from limited data using artificial neural networks. IEEE Trans. Image Process. 22, 5238-5251 (2013).
-
(2013)
IEEE Trans. Image Process.
, vol.22
, pp. 5238-5251
-
-
Pelt, D.M.1
Batenburg, K.J.2
-
16
-
-
85023170573
-
Deep convolutional neural network for inverse problems in imaging
-
Jin, K. H., McCann, M. T., Froustey, E. & Unser, M. Deep convolutional neural network for inverse problems in imaging. IEEE Trans. Image Process. 26, 4509-4522 (2017).
-
(2017)
IEEE Trans. Image Process.
, vol.26
, pp. 4509-4522
-
-
Jin, K.H.1
McCann, M.T.2
Froustey, E.3
Unser, M.4
-
17
-
-
85043388139
-
Learning a variational network for reconstruction of accelerated MRI data
-
Hammernik, K. et al. Learning a variational network for reconstruction of accelerated MRI data. Magn. Reson. Med. 79, 3055-3071 (2017).
-
(2017)
Magn. Reson. Med.
, vol.79
, pp. 3055-3071
-
-
Hammernik, K.1
-
18
-
-
36849088522
-
Sparse MRI: The application of compressed sensing for rapid MR imaging
-
Lustig, M., Donoho, D. & Pauly, J. M. Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn. Reson. Med. 58, 1182-1195 (2007).
-
(2007)
Magn. Reson. Med.
, vol.58
, pp. 1182-1195
-
-
Lustig, M.1
Donoho, D.2
Pauly, J.M.3
-
19
-
-
84949266633
-
MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI
-
Fan, Q. et al. MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI. Neuroimage 124, 1108-1114 (2016).
-
(2016)
Neuroimage
, vol.124
, pp. 1108-1114
-
-
Fan, Q.1
-
20
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
Deng, J. et al. ImageNet: A large-scale hierarchical image database. In IEEE Conf. on 'Computer Vision and Pattern Recognition' 248-255, http://www. image-net.org/papers/imagenet-cvpr09.pdf (2009).
-
(2009)
IEEE Conf. on 'Computer Vision and Pattern Recognition'
, pp. 248-255
-
-
Deng, J.1
-
21
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
Hornik, K., Stinchcombe, M. & White, H. Multilayer feedforward networks are universal approximators. Neural Netw. 2, 359-366 (1989).
-
(1989)
Neural Netw.
, vol.2
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
23
-
-
84896386728
-
Mean square optimal NUFFT approximation for efficient non-Cartesian MRI reconstruction
-
Yang, Z. & Jacob, M. Mean square optimal NUFFT approximation for efficient non-Cartesian MRI reconstruction. J. Magn. Reson. 242, 126-135 (2014).
-
(2014)
J. Magn. Reson.
, vol.242
, pp. 126-135
-
-
Yang, Z.1
Jacob, M.2
-
25
-
-
84926074622
-
-
(Wiley)
-
Brown, R. W., Cheng, Y. C. N., Haacke, E. M., Thompson, M. R. & Venkatesan, R. Magnetic Resonance Imaging: Physical Principles and Sequence Design 2nd edn (Wiley, 2014).
-
(2014)
Magnetic Resonance Imaging: Physical Principles and Sequence Design. 2nd Edn.
-
-
Brown, R.W.1
Cheng, Y.C.N.2
Haacke, E.M.3
Thompson, M.R.4
Venkatesan, R.5
-
26
-
-
0033547445
-
Signal but not noise changes with perceptual learning
-
Gold, J., Bennett, P. J. & Sekuler, A. B. Signal but not noise changes with perceptual learning. Nature 402, 176-178 (1999).
-
(1999)
Nature
, vol.402
, pp. 176-178
-
-
Gold, J.1
Bennett, P.J.2
Sekuler, A.B.3
-
27
-
-
77952717202
-
Sparse representation for computer vision and pattern recognition
-
Wright, J. et al. Sparse representation for computer vision and pattern recognition. Proc. IEEE 98, 1031-1044 (2010).
-
(2010)
Proc. IEEE
, vol.98
, pp. 1031-1044
-
-
Wright, J.1
-
29
-
-
78349292967
-
-
(eds Fisher, M. M. & Getis, A.), (Springer)
-
Getis, A. in Handbook of Applied Spatial Analysis (eds Fisher, M. M. & Getis, A.) 255-278 (Springer, 2010).
-
(2010)
Handbook of Applied Spatial Analysis
, pp. 255-278
-
-
Getis, A.1
-
30
-
-
38849084698
-
Radiation dose reduction in chest CT: A review
-
Kubo, T. et al. Radiation dose reduction in chest CT: A review. Am. J. Roentgenol. 190, 335-343 (2008).
-
(2008)
Am. J. Roentgenol.
, vol.190
, pp. 335-343
-
-
Kubo, T.1
-
31
-
-
84869024760
-
Characterization results of EMCCDs for extreme low-light imaging
-
Daigle, O., Djazovski, O., Laurin, D., Doyon, R. & Artigau, É. Characterization results of EMCCDs for extreme low-light imaging. In Proc. SPIE on 'High Energy, Optical, and Infrared Detectors for Astronomy V' Vol. 8453, 845303, https://doi. org/10.1117/12.926385 (2012).
-
(2012)
Proc. SPIE on 'High Energy, Optical, and Infrared Detectors for Astronomy V'
, vol.8453
, pp. 845303
-
-
Daigle, O.1
Djazovski, O.2
Laurin, D.3
Doyon, R.4
Artigau, É.5
-
32
-
-
84940834505
-
Sparse representations and convex optimization as tools for LOFAR radio interferometric imaging
-
Girard, J. N. et al. Sparse representations and convex optimization as tools for LOFAR radio interferometric imaging. J. Instrum. 10, C08013 (2015).
-
(2015)
J. Instrum.
, vol.10
, pp. C08013
-
-
Girard, J.N.1
-
33
-
-
77957983974
-
Rapid volumetric OCT image acquisition using compressive sampling
-
Lebed, E., Sarunic, M. V., Beg, M. F. & Mackenzie, P. J. Rapid volumetric OCT image acquisition using compressive sampling. Opt. Exp. 18, 21003-21012 (2010).
-
(2010)
Opt. Exp.
, vol.18
, pp. 21003-21012
-
-
Lebed, E.1
Sarunic, M.V.2
Beg, M.F.3
Mackenzie, P.J.4
-
34
-
-
0037306521
-
Nonuniform fast Fourier transforms using min-max interpolation
-
Fessler, J. A. & Sutton, B. P. Nonuniform fast Fourier transforms using min-max interpolation. IEEE Trans. Signal Process. 51, 560-574 (2003).
-
(2003)
IEEE Trans. Signal Process.
, vol.51
, pp. 560-574
-
-
Fessler, J.A.1
Sutton, B.P.2
-
35
-
-
0038262030
-
Simple analytic variable density spiral design
-
Kim, D. H., Adalsteinsson, E. & Spielman, D. M. Simple analytic variable density spiral design. Magn. Reson. Med. 50, 214-219 (2003).
-
(2003)
Magn. Reson. Med.
, vol.50
, pp. 214-219
-
-
Kim, D.H.1
Adalsteinsson, E.2
Spielman, D.M.3
-
36
-
-
84968626892
-
Berkeley advanced reconstruction toolbox
-
Uecker, M., Ong, F., Tamir, J. I. & Bahri, D. Berkeley advanced reconstruction toolbox. Proc. Int. Soc. Magnetic Resonance in Medicine 2486 (2015).
-
(2015)
Proc. Int. Soc. Magnetic Resonance in Medicine
, pp. 2486
-
-
Uecker, M.1
Ong, F.2
Tamir, J.I.3
Bahri, D.4
-
40
-
-
24144470505
-
Practical approaches to the evaluation of signal-to-noise ratio performance with parallel imaging: Application with cardiac imaging and a 32-channel cardiac coil
-
Reeder, S. B. et al. Practical approaches to the evaluation of signal-to-noise ratio performance with parallel imaging: Application with cardiac imaging and a 32-channel cardiac coil. Magn. Reson. Med. 54, 748-754 (2005).
-
(2005)
Magn. Reson. Med.
, vol.54
, pp. 748-754
-
-
Reeder, S.B.1
-
41
-
-
0032059889
-
Simple correction method for k-space trajectory deviations in MRI
-
Duyn, J. H., Yang, Y., Frank, J. A. & van der Veen, J. W. Simple correction method for k-space trajectory deviations in MRI. J. Magn. Reson. 132, 150-153 (1998).
-
(1998)
J. Magn. Reson.
, vol.132
, pp. 150-153
-
-
Duyn, J.H.1
Yang, Y.2
Frank, J.A.3
Van Der Veen, J.W.4
-
42
-
-
0032712873
-
SENSE: Sensitivity encoding for fast MRI
-
Pruessmann, K. P., Weiger, M., Scheidegger, M. B. & Boesiger, P. SENSE: Sensitivity encoding for fast MRI. Magn. Reson. Med. 42, 952-962 (1999).
-
(1999)
Magn. Reson. Med.
, vol.42
, pp. 952-962
-
-
Pruessmann, K.P.1
Weiger, M.2
Scheidegger, M.B.3
Boesiger, P.4
-
43
-
-
0000048673
-
GMRES: A generalized minimal residual algorithm for solving nonsymmetric linear systems
-
Saad, Y. & Schultz, M. H. GMRES: A generalized minimal residual algorithm for solving nonsymmetric linear systems. SIAM J. Sci. Statist. Comput. 7, 856-869 (1986).
-
(1986)
SIAM J. Sci. Statist. Comput.
, vol.7
, pp. 856-869
-
-
Saad, Y.1
Schultz, M.H.2
-
44
-
-
23844516135
-
OSEM-3D Reconstruction Strategies for the ECAT HRRT
-
Comtat, C, et al. OSEM-3D Reconstruction Strategies for the ECAT HRRT. IEEE Symp. Conf. Record Nuclear Science 6, 3492-3496 (2004).
-
(2004)
IEEE Symp. Conf. Record Nuclear Science
, vol.6
, pp. 3492-3496
-
-
Comtat, C.1
-
45
-
-
84910637140
-
An SPM8-based approach for attenuation correction combining segmentation and nonrigid template formation: Application to simultaneous PET/MR brain imaging
-
Izquierdo-Garcia, D. et al. An SPM8-based approach for attenuation correction combining segmentation and nonrigid template formation: Application to simultaneous PET/MR brain imaging. J. Nucl. Med. 55, 1825-1830 (2014).
-
(2014)
J. Nucl. Med.
, vol.55
, pp. 1825-1830
-
-
Izquierdo-Garcia, D.1
-
46
-
-
77956510751
-
Improved local coordinate coding using local tangents
-
(ACM)
-
Yu, K. & Zhang, T. Improved local coordinate coding using local tangents. In Proc. 27th Int. Conf. on 'Machine Learning' 1215-1222 (ACM, 2010).
-
(2010)
Proc. 27th Int. Conf. on 'Machine Learning'
, pp. 1215-1222
-
-
Yu, K.1
Zhang, T.2
-
48
-
-
84879865087
-
Bayesian estimation of regularization and atlas building in diffeomorphic image registration
-
(Springer)
-
Zhang, M., Singh, N. & Fletcher, P. T. Bayesian estimation of regularization and atlas building in diffeomorphic image registration. Int. Conf. Inf. Process. Med. Imaging 37-48 (Springer, 2013).
-
(2013)
Int. Conf. Inf. Process. Med. Imaging
, pp. 37-48
-
-
Zhang, M.1
Singh, N.2
Fletcher, P.T.3
-
49
-
-
84884939408
-
Geodesic image regression with a sparse parameterization of diffeomorphisms
-
(eds Nielsen, F. & Barbaresco, F.)
-
Fishbaugh, J., Prastawa, M., Gerig, G. & Durrleman, S. Geodesic image regression with a sparse parameterization of diffeomorphisms. In 1st Int. Conf. on 'Geometric Science of Information' GSI 2013 (eds Nielsen, F. & Barbaresco, F.) Vol. 8085, 95-102, https://link.springer.com/ chapter/10.1007/978-3-642-40020-9-9 (2013).
-
(2013)
1st Int. Conf. on 'Geometric Science of Information' GSI 2013
, vol.8085
, pp. 95-102
-
-
Fishbaugh, J.1
Prastawa, M.2
Gerig, G.3
Durrleman, S.4
-
51
-
-
0025751820
-
Approximation capabilities of multilayer feedforward networks
-
Hornik, K. Approximation capabilities of multilayer feedforward networks. Neural Netw. 4, 251-257 (1991).
-
(1991)
Neural Netw.
, vol.4
, pp. 251-257
-
-
Hornik, K.1
-
53
-
-
0024861871
-
Approximation by superpositions of a sigmoidal function
-
Cybenko, G. Approximation by superpositions of a sigmoidal function. Math. Contr. Signals Syst. 2, 303-314 (1989).
-
(1989)
Math. Contr. Signals Syst.
, vol.2
, pp. 303-314
-
-
Cybenko, G.1
-
54
-
-
0001325515
-
Approximation and estimation bounds for artificial neural networks
-
Barron, A. R. Approximation and estimation bounds for artificial neural networks. Mach. Learn. 14, 115-133 (1994).
-
(1994)
Mach. Learn.
, vol.14
, pp. 115-133
-
-
Barron, R.A.1
-
56
-
-
84862244703
-
Simple method for MR gradient system characterization and k-space trajectory estimation
-
Addy, N. O., Wu, H. H. & Nishimura, D. G. Simple method for MR gradient system characterization and k-space trajectory estimation. Magn. Reson. Med. 68, 120-129 (2012).
-
(2012)
Magn. Reson. Med.
, vol.68
, pp. 120-129
-
-
Addy, N.O.1
Wu, H.H.2
Nishimura, D.G.3
-
57
-
-
78650101091
-
Direct measurement of magnetic field gradient waveforms
-
Han, H., Ouriadov, A. V., Fordham, E. & Balcom, B. J. Direct measurement of magnetic field gradient waveforms. Concepts Magn. Reson. 36A, 349-360 (2010).
-
(2010)
Concepts Magn. Reson.
, vol.36 A
, pp. 349-360
-
-
Han, H.1
Ouriadov, A.V.2
Fordham, E.3
Balcom, B.J.4
-
59
-
-
85041172356
-
TArgeted Motion Estimation and Reduction (TAMER): Data consistency based motion mitigation for MRI using a reduced model joint optimization
-
Haskell, M., Cauley, S. F. & Wald, L. L. TArgeted Motion Estimation and Reduction (TAMER): Data consistency based motion mitigation for MRI using a reduced model joint optimization. IEEE Trans. Med. Imaging PP, 99, http://doi. org/10.1109/TMI.2018.2791482 (2018).
-
(2018)
IEEE Trans. Med. Imaging
, pp. 99
-
-
Haskell, M.1
Cauley, S.F.2
Wald, L.L.3
-
60
-
-
27644554060
-
Toeplitz-based iterative image reconstruction for MRI with correction for magnetic field inhomogeneity
-
Fessler, J. A., Lee, S., Olafsson, V. T., Shi, H. R. & Noll, D. C. Toeplitz-based iterative image reconstruction for MRI with correction for magnetic field inhomogeneity. IEEE Trans. Signal Process. 53, 3393-3402 (2005).
-
(2005)
IEEE Trans. Signal Process.
, vol.53
, pp. 3393-3402
-
-
Fessler, J.A.1
Lee, S.2
Olafsson, V.T.3
Shi, H.R.4
Noll, D.C.5
-
61
-
-
84923122093
-
Fast reconstruction for multichannel compressed sensing using a hierarchically semiseparable solver
-
Cauley, S. F. et al. Fast reconstruction for multichannel compressed sensing using a hierarchically semiseparable solver. Magn. Reson. Med. 73, 1034-1040 (2015).
-
(2015)
Magn. Reson. Med.
, vol.73
, pp. 1034-1040
-
-
Cauley, S.F.1
-
62
-
-
84897528667
-
Superfast and stable structured solvers for Toeplitz least squares via randomized sampling
-
Xi, Y., Xia, J., Cauley, S. & Balakrishnan, V. Superfast and stable structured solvers for Toeplitz least squares via randomized sampling. SIAM J. Matrix Anal. Appl. 35, 44-72 (2014).
-
(2014)
SIAM J. Matrix Anal. Appl.
, vol.35
, pp. 44-72
-
-
Xi, Y.1
Xia, J.2
Cauley, S.3
Balakrishnan, V.4
-
63
-
-
78649678670
-
Fast algorithms for hierarchically semiseparable matrices
-
Xia, J., Chandrasekaran, S., Gu, M. & Li, X. S. Fast algorithms for hierarchically semiseparable matrices. Numer. Linear Algebra Appl. 17, 953-976 (2010).
-
(2010)
Numer. Linear Algebra Appl.
, vol.17
, pp. 953-976
-
-
Xia, J.1
Chandrasekaran, S.2
Gu, M.3
Li, X.S.4
-
64
-
-
84894076345
-
Augmented Lagrangian with variable splitting for faster non-Cartesian L1-SPIRiT MR image reconstruction
-
Weller, D. S., Ramani, S. & Fessler, J. A. Augmented Lagrangian with variable splitting for faster non-Cartesian L1-SPIRiT MR image reconstruction. IEEE Trans. Med. Imaging 33, 351-361 (2014).
-
(2014)
IEEE Trans. Med. Imaging
, vol.33
, pp. 351-361
-
-
Weller, D.S.1
Ramani, S.2
Fessler, J.A.3
-
65
-
-
84986206701
-
Maximum likelihood reconstruction for magnetic resonance fingerprinting
-
Zhao, B., Setsompop, K., Ye, H., Cauley, S. F. & Wald, L. L. Maximum likelihood reconstruction for magnetic resonance fingerprinting. IEEE Trans. Med. Imaging 35, 1812-1823 (2016).
-
(2016)
IEEE Trans. Med. Imaging
, vol.35
, pp. 1812-1823
-
-
Zhao, B.1
Setsompop, K.2
Ye, H.3
Cauley, S.F.4
Wald, L.L.5
-
67
-
-
85015178077
-
-
Hu, H., Peng, R., Tai, Y.-W. & Tang, C.-K. Network trimming: A data-driven neuron pruning approach towards efficient deep architectures. Preprint at https://arxiv.org/abs/1607.03250 (2016).
-
(2016)
Network Trimming: A Data-driven Neuron Pruning Approach Towards Efficient Deep Architectures
-
-
Hu, H.1
Peng, R.2
Tai, Y.-W.3
Tang, C.-K.4
|