Literature DB >> 28764954

Computer-Aided Detection Can Bridge the Skill Gap in Multiple Sclerosis Monitoring.

Ariel Dahan1, Wayland Wang2, Frank Gaillard3.   

Abstract

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Year:  2017        PMID： 28764954     DOI： 10.1016/j.jacr.2017.06.030

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN： 1546-1440            Impact factor:   5.532


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  2 in total

Review 1.  Towards a standard MRI protocol for multiple sclerosis across the UK.

Authors:  Klaus Schmierer; Thomas Campion; Audrey Sinclair; Wim van Hecke; Paul M Matthews; Mike P Wattjes
Journal:  Br J Radiol       Date:  2019-05-14       Impact factor: 3.039

2.  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
  2 in total

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