Juan Felipe Pérez-Juste Abascal, Ph.D.
Researcher in medical imaging, image processing, inverse problems and deep learning
Current position as Data Scientist Innovation at Groupe SEB, Lyon, France
juanabascal78 at gmail.com
Previous projects
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Applications:
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Hyperpolarized gas lung MRI
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Prospective and retrospective cardiac cine
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Contrast-enhanced MRI
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fMRI
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Tagged-MRI
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Optimum undersampling patterns
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Tailored and efficient reconstruction methods
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Real implementation on a small-animal scanner
compressed sensing MRI
compressed sensing CT
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Applications:
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Respiratory gated-CT
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Radiation dose reduction
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Limited view reconstruction
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Contrast-enhanced CT
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Influence of dose and number of projections
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Tailored and efficient reconstruction methods
Reconstruction methods
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Tailored reconstruction methods for each application:
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Simultaneous motion and image reconstruction
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Fast spatiotemporal total variation
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Prior-based reconstruction
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Optimum sparsifying transforms
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Optimum and computationally efficient algorithms:
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Constrained optimization
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Efficient implementations using the Split Bregman formulation and fast forward solvers
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PET image reconstruction
4D PET image reconstruction methods
Fluorescence diffuse optical tomography
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Noninvasive small animal imaging using fDOT
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Influence of scattering and absorption on the quantification of fDOT
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Reconstruction methods:
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Positivity constraint
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Efficient algorithms for convex optimization, such as Split Bregman and others split operator methods
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Hybrid fDOT and x-ray computed tomography system
Anisotropic EIT
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Validation of a finite element solution for anisotropic media
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Accurate numerical head model taking on account white matter and skull anisotropy: Assessment on forward and inverse problems
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Rank analysis for the recovery of a conductivity tensor in anisotropic media
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Recovery of the anisotropic conductivity tensor with known eigenvectors
EIT of brain function
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Electrical Impedance Tomography for imaging brain function
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Optimum selection of the regularization parameter for linear reconstruction of time difference data
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Modelling of different variances and correlations using a general covariance of the noise
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Principal component analysis for noise reduction
Eddy current imaging
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Eddy-current non-destructive testing for detecting defects within a metal structure
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Assessment of inner, outer, and through-wall void defects
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Void defects modelled using a level set function
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Shape reconstruction using a gradient-based level set method
