Literature DB >> 35930121

Response to the letter to the editor on the article: a non-invasive, automated diagnosis of Menière's disease using radiomics and machine learning on conventional magnetic resonance imaging-a multicentric, case-controlled feasibility study.

Marc van Hoof1, Raymond van de Berg1,2, Marly F J A van der Lubbe3, Akshayaa Vaidyanathan4,5, Marjolein de Wit1, Elske L van den Burg1, Alida A Postma6,2, Tjasse D Bruintjes7,8, Monique A L Bilderbeek-Beckers9, Patrick F M Dammeijer10, Stephanie Vanden Bossche11,12, Vincent Van Rompaey13, Philippe Lambin4.   

Abstract

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Year:  2022        PMID: 35930121     DOI: 10.1007/s11547-022-01492-7

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   6.313


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  2 in total

1.  Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets.

Authors:  Hyemin Um; Florent Tixier; Dalton Bermudez; Joseph O Deasy; Robert J Young; Harini Veeraraghavan
Journal:  Phys Med Biol       Date:  2019-08-21       Impact factor: 3.609

2.  Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics.

Authors:  Alexandre Carré; Guillaume Klausner; Myriam Edjlali; Marvin Lerousseau; Jade Briend-Diop; Roger Sun; Samy Ammari; Sylvain Reuzé; Emilie Alvarez Andres; Théo Estienne; Stéphane Niyoteka; Enzo Battistella; Maria Vakalopoulou; Frédéric Dhermain; Nikos Paragios; Eric Deutsch; Catherine Oppenheim; Johan Pallud; Charlotte Robert
Journal:  Sci Rep       Date:  2020-07-23       Impact factor: 4.379

  2 in total

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