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MRI Radiomic Signature of White Matter Hyperintensities is Associated with Clinical Phenotypes.

Martin Bretzner,Anna K. Bonkhoff,Markus D. Schirmer,Sungmin Hong,Adrian Dalca,Kathleen L. Donahue,Anne-Katrin Giese,Mark R. Etherton,Pamela M. Rist,Marco Nardin,Razvan Marinescu,Clinton Wang,Robert W. Regenhardt,Xavier Leclerc,Renaud Lopes,Oscar R. Benavente,John W. Cole,Amanda Donatti,Christoph J. Griessenauer,Laura Heitsch,Lukas Holmegaard,Katarina Jood,Jordi Jimenez-Conde,Steven J. Kittner,Robin Lemmens,Christopher R. Levi,Patrick F. McArdle,Caitrin W. McDonough,James F. Meschia,Chia-Ling Phuah,Arndt Rolfs,Stefan Ropele,Jonathan Rosand,Jaume Roquer,Tatjana Rundek,Ralph L. Sacco,Reinhold Schmidt,Pankaj Sharma,Agnieszka Slowik,Alessandro Sousa,Tara M. Stanne,Daniel Strbian,Turgut Tatlisumak,Vincent Thijs,Achala Vagal,Johan Wasselius,Daniel Woo,Ona Wu,Ramin Zand,Bradford B. Worrall,Jane M. Maguire,Arne Lindgren,Christina Jern,Polina Golland,Gregory Kuchcinski,Natalia S. Rost

Frontiers in neuroscience（2021）

Cited 8|Views42
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Key words
stroke,cerebrovascular disease (CVD),MRI,radiomics,machine learning,brain health
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