Amanote Research

Amanote Research

    RegisterSign In

Robust Kernel Methods for Sparse MR Image Reconstruction

doi 10.1007/978-3-540-75757-3_98
Full Text
Open PDF
Abstract

Available in full text

Date

Unknown

Authors
Joshua TrzaskoArmando ManducaEric Borisch
Publisher

Springer Berlin Heidelberg


Related search

Sparse Image Reconstruction Using Sparse Priors

2006English

Kernel Regression for Image Processing and Reconstruction

IEEE Transactions on Image Processing
Computer GraphicsComputer-Aided DesignSoftware
2007English

Kernel-Based Multiview Joint Sparse Coding for Image Annotation

Mathematical Problems in Engineering
MathematicsEngineering
2017English

Image Reconstruction From Photon Sparse Data

Scientific Reports
Multidisciplinary
2017English

Sparse-Coding-Based Computed Tomography Image Reconstruction

The Scientific World Journal
BiochemistryMedicineGeneticsMolecular BiologyEnvironmental Science
2013English

Robust Anatomical Landmark Detection for MR Brain Image Registration

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2014English

Template-Based Image Reconstruction From Sparse Tomographic Data

Applied Mathematics and Optimization
ControlApplied MathematicsOptimization
2019English

Comparative Evaluation of Image Reconstruction Methods for the Siemens PET-MR Scanner Using the Stir Library

2016English

Statistical Methods for Image Segmentation and Tomography Reconstruction

Microscopy and Microanalysis
Instrumentation
2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy