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Supervised denoising of diffusion-weighted magnetic resonance images using a convolutional neural network and transfer learning

  • Published:2023-01 Issue:1 Volume:43 Page:206-232
  • ISSN:0208-5216
  • Container-title:Biocybernetics and Biomedical Engineering
  • language:en
  • Short-container-title:Biocybernetics and Biomedical Engineering

Author:

Jurek Jakub,Materka Andrzej,Ludwisiak Kamil,Majos Agata,Gorczewski Kamil,Cepuch Kamil,Zawadzka Agata

Publisher

Elsevier BV

Subject

Biomedical Engineering

Reference33 articles.

1. Clinical utility of diffusion-weighted magnetic resonance imaging in the assessment of ischemic stroke;Lutsep;Ann Neurol,1997

2. D.A. and Diffusion-weighted imaging in oncology: An update;Messina;Cancers,2020

3. Multi-planar image formation using NMR spin echoes;Mansfield;J Phys C: Solid State Phys,1977

4. Diffusion MRI: From Quantitative Measurement to In vivo Neuroanatomy,2014

5. Magnetic resonance imaging: physical principles and sequence design;Brown,2014

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