Literature DB >> 35303140

Response to the 'Letter to the editor'-10.1007/s00234-022-02906-z.

Hugh G Pemberton1,2,3, Lara A M Zaki4, Olivia Goodkin5,6, Ravi K Das7, Rebecca M E Steketee4, Frederik Barkhof5,6,8, Meike W Vernooij4,9.   

Abstract

Entities:  

Year:  2022        PMID： 35303140     DOI： 10.1007/s00234-022-02923-y

Source DB:  PubMed          Journal:  Neuroradiology        ISSN： 0028-3940            Impact factor:   2.804


× No keyword cloud information.
  4 in total

1.  Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance: A Prospective, Multicenter, Multireader Trial.

Authors:  S Bash; L Wang; C Airriess; G Zaharchuk; E Gong; A Shankaranarayanan; L N Tanenbaum
Journal:  AJNR Am J Neuroradiol       Date:  2021-11-25       Impact factor: 3.825

Review 2.  Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis-a systematic review.

Authors:  Hugh G Pemberton; Lara A M Zaki; Olivia Goodkin; Ravi K Das; Rebecca M E Steketee; Frederik Barkhof; Meike W Vernooij
Journal:  Neuroradiology       Date:  2021-09-03       Impact factor: 2.804

3.  Health Economic Impact of Software-Assisted Brain MRI on Therapeutic Decision-Making and Outcomes of Relapsing-Remitting Multiple Sclerosis Patients-A Microsimulation Study.

Authors:  Diana M Sima; Giovanni Esposito; Wim Van Hecke; Annemie Ribbens; Guy Nagels; Dirk Smeets
Journal:  Brain Sci       Date:  2021-11-27
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.