Publikationen | Institute of Medical Informatics

MIDL 2021

International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

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Maier O., Menze B.H., von der Gablentz J., Häni L., Heinrich M.P., Liebrand M., Winzeck S., Basit A., Bentley P., Chen L. et al.
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
Medical Image Analysis, 35, 250-269, 2017

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Oktay O., Schlemper J., Folgoc L.L., Lee M., Heinrich M.P., Misawa K., Mori K., McDonagh S., Hammerla N.Y., Kainz B. et al.
Attention U-Net: Learning Where to Look for the Pancreas
In: Conference on Medical Imaging with Deep Learning (MIDL 2018), 2018

Oktay O., Ferrante E., Kamnitsas K., Heinrich M.P., Bai W., Caballero J., Cook S.A., de Marvao A., Dawes T., O'Regan D.P. et al.
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
IEEE Transactions on Medical Imaging, 37, 2, 384-395, 2018

Oktay O., Bai W., Guerrero R., Rajchl M., de Marvao A., O’Regan D.P., Cook S.A., Heinrich M.P., Glocker B., Rueckert D.
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images
IEEE Transactions on Medical Imaging, IEEE, 36, 1, 332-342, 2017

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Schlemper J., Oktay O., Schaap M., Heinrich M.P., Kainz B., Glocker B., Rueckert D.
Attention gated networks: Learning to leverage salient regions in medical images
Medical Image Analysis, 53, 197-207, 2019

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