h1

h2

h3

h4

h5
h6
%0 Journal Article
%A Kers, Jesper
%A Bülow, Roman David
%A Klinkhammer, Barbara M.
%A Breimer, Gerben E.
%A Fontana, Francesco
%A Abiola, Adeyemi Adefidipe
%A Hofstraat, Rianne
%A Corthals, Garry L.
%A Peters-Sengers, Hessel
%A Djudjaj, Sonja
%A von Stillfried, Saskia
%A Hölscher, David L.
%A Pieters, Tobias T.
%A van Zuilen, Arjan D.
%A Bemelman, Frederike J.
%A Nurmohamed, Azam S.
%A Naesens, Maarten
%A Roelofs, Joris J. T. H.
%A Florquin, Sandrine
%A Flöge, Jürgen
%A Nguyen, Tri Q.
%A Kather, Jakob N.
%A Boor, Peter
%T Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study
%J The lancet / Digital health
%V 4
%N 1
%@ 2589-7500
%C London
%I The Lancet
%M RWTH-CONV-249048
%P e18-e26
%D 2022
%Z Available online 15 November 2021
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000736243900007
%$ pmid:34794930
%R 10.1016/S2589-7500(21)00211-9
%U https://publications.rwth-aachen.de/record/851960