Explainable AI to improve acceptance of convolutional neural networks for automatic classification of dopamine transporter SPECT in the diagnosis of clinically uncertain parkinsonian syndromes
%0 Journal Article
%1 Nazari2021
%A Nazari, Mahmood
%A Kluge, Andreas
%A Apostolova, Ivayla
%A Klutmann, Susanne
%A Kimiaei, Sharok
%A Schroeder, Michael
%A Buchert, Ralph
%D 2021
%I Springer Science and Business Media LLC
%J European Journal of Nuclear Medicine and Molecular Imaging
%K imported
%N 4
%P 1176–1186
%R 10.1007/s00259-021-05569-9
%T Explainable AI to improve acceptance of convolutional neural networks for automatic classification of dopamine transporter SPECT in the diagnosis of clinically uncertain parkinsonian syndromes
%U http://dx.doi.org/10.1007/s00259-021-05569-9
%V 49
@article{Nazari2021,
added-at = {2024-10-02T10:38:17.000+0200},
author = {Nazari, Mahmood and Kluge, Andreas and Apostolova, Ivayla and Klutmann, Susanne and Kimiaei, Sharok and Schroeder, Michael and Buchert, Ralph},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/23f4a2c5d944174f079a095ae08e29a95/scadsfct},
doi = {10.1007/s00259-021-05569-9},
interhash = {51c9d1ed2e83cf6f7585a42408d427ff},
intrahash = {3f4a2c5d944174f079a095ae08e29a95},
issn = {1619-7089},
journal = {European Journal of Nuclear Medicine and Molecular Imaging},
keywords = {imported},
month = oct,
number = 4,
pages = {1176–1186},
publisher = {Springer Science and Business Media LLC},
timestamp = {2024-10-02T10:38:17.000+0200},
title = {Explainable AI to improve acceptance of convolutional neural networks for automatic classification of dopamine transporter SPECT in the diagnosis of clinically uncertain parkinsonian syndromes},
url = {http://dx.doi.org/10.1007/s00259-021-05569-9},
volume = 49,
year = 2021
}
