Diego Hernando

Orcid: 0000-0002-0016-0317

According to our database1, Diego Hernando authored at least 13 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Monte Carlo modeling of hepatic steatosis based on stereology and spatial distribution of fat droplets.
Comput. Methods Programs Biomed., May, 2023

2018
Exact Calculation of Noise Maps and ${g}$ -Factor in GRAPPA Using a ${k}$ -Space Analysis.
IEEE Trans. Medical Imaging, 2018

2013
Correction to "Compressed-sensing MRI with random encoding".
IEEE Trans. Medical Imaging, 2013

2011
Motion-Induced Phase Error Estimation and Correction in 3D Diffusion Tensor Imaging.
IEEE Trans. Medical Imaging, 2011

Compressed-Sensing MRI With Random Encoding.
IEEE Trans. Medical Imaging, 2011

2010
Joint estimation of water and fat images from magnetic resonance signals
PhD thesis, 2010

2009
Rank-Constrained Solutions to Linear Matrix Equations Using PowerFactorization.
IEEE Signal Process. Lett., 2009

Super-Resolution Reconstruction of MR Image Sequences with Contrast Modeling.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2007
Removal of Lipid Signal in MRSI Using Spatial-Spectral Constraints.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Shaping Spatial Response Functions for Optimal Estimation of Compartmental Signals from Limited Fourier Data.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Reduced-encoding MRI using higher-order generalized series.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Regularized inversion of noisy, incomplete MR spectroscopic imaging data with anatomical prior.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005
Efficient computation of the hidden Markov model entropy for a given observation sequence.
IEEE Trans. Inf. Theory, 2005


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