Application of low‐rank approximation using truncated singular value decomposition for noise reduction in hyperpolarized 13 C NMR spectroscopy-Reference-Cited by-同舟云学术

Application of low‐rank approximation using truncated singular value decomposition for noise reduction in hyperpolarized 13 C NMR spectroscopy

Author:

Francischello R.¹²^ORCID,Geppi M.¹^ORCID,Flori A.³^ORCID,Vasini E.M.⁴,Sykora S.⁴^ORCID,Menichetti L.²^ORCID

Affiliation:

1. Dipartimento di Chimica e Chimica Industriale Università di Pisa Italy

2. Istituto di Fisiologia Clinica, CNR Pisa Italy

3. Fondazione CNR/Toscana Gabriele Monasterio Bioengineering and Clinical Engineering Pisa Italy

4. Extra Byte, Castano Primo Milan Italy

Publisher

Wiley

Subject

Spectroscopy,Radiology, Nuclear Medicine and imaging,Molecular Medicine

Link

Reference15 articles.

5. Distinguishing closely related pancreatic cancer subtypes in vivo by 13C glucose MRI without hyperpolarization;Kishimoto S;Cancer Biol Ther,2019

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

4. Quo Vadis Hyperpolarized 13C MRI?;Zeitschrift für Medizinische Physik;2023-12