Suzanne C Wetstein
47  results:
Search for persons X
?
9

Adversarial attack vulnerability of medical image analysis ..:

Bortsova, Gerda ; González-Gonzalo, Cristina ; Wetstein, Suzanne C...
Bortsova , G , González-Gonzalo , C , Wetstein , S C , Dubost , F , Katramados , I , Hogeweg , L , Liefers , B , van Ginneken , B , Pluim , J P W , Veta , M , Sánchez , C I & de Bruijne , M 2021 , ' Adversarial attack vulnerability of medical image analysis systems : Unexplored factors ' , Medical Image Analysis , vol. 73 , 102141 . https://doi.org/10.1016/j.media.2021.102141.  , 2021
 
?
10

Adversarial attack vulnerability of medical image analysis ..:

Bortsova, Gerda ; González-Gonzalo, Cristina ; Wetstein, Suzanne C...
Bortsova , G , González-Gonzalo , C , Wetstein , S C , Dubost , F , Katramados , I , Hogeweg , L , Liefers , B , van Ginneken , B , Pluim , J P W , Veta , M , Sánchez , C I & de Bruijne , M 2021 , ' Adversarial attack vulnerability of medical image analysis systems : Unexplored factors ' , Medical Image Analysis , vol. 73 , 102141 . https://doi.org/10.1016/j.media.2021.102141.  , 2021
 
?
12

Deep learning-based grading of ductal carcinoma in situ in ..:

Wetstein, Suzanne C ; Stathonikos, Nikolas ; Pluim, Josien P.W...
Wetstein , S C , Stathonikos , N , Pluim , J P W , Heng , Y J , ter Hoeve , N D , Vreuls , C P H , van Diest , P J & Veta , M 2021 , ' Deep learning-based grading of ductal carcinoma in situ in breast histopathology images ' , Laboratory Investigation , vol. 101 , no. 4 , pp. 525-533 . https://doi.org/10.1038/s41374-021-00540-6.  , 2021
 
?
14

Deep learning assessment of breast terminal duct lobular un..:

Wetstein, Suzanne C ; Onken, Allison M ; Luffman, Christina...
Wetstein , S C , Onken , A M , Luffman , C , Baker , G M , Pyle , M E , Kensler , K H , Liu , Y , Bakker , B , Vlutters , R , van Leeuwen , M B , Collins , L C , Schnitt , S J , Pluim , J P W , Tamimi , R M , Heng , Y J & Veta , M 2020 , ' Deep learning assessment of breast terminal duct lobular unit involution : towards automated prediction of breast cancer risk ' , PLoS ONE , vol. 15 , no. 4 , e0231653 . https://doi.org/10.1371/journal.pone.0231653.  , 2020
 
1-15