MIDL 2021

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

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F
Forkert N.D., Säring D., Handels H.
Automatic Analysis of the Anatomy of Arteriovenous Malformations Using 3D and 4D MRA Image Sequences
In: Studies in health technology and informatics, http://www.ncbi.nlm.nih.gov/pubmed/20841888?dopt=Abstract, 160, Pt 2, 1268-72, 2010
Abstract
Forkert N.D., Säring D., Fiehler J., Illies T., Möller D., Handels H.
Automatic Brain Segmentation in Time-of-Flight MRA Images
Methods of information in medicine, 48, 5, 399-407, 2009
Abstract
H
Heinrich M.P., Jenkinson M., Bhushan M., Matin T., Gleeson F.V., Brady S.M., Schnabel J.A.
MIND: modality independent neighbourhood descriptor for multi-modal deformable registration.
Medical image analysis, 16, 7, 1423-35, 2012
Abstract
Heinrich M.P., Jenkinson M., Papiez B.W., Brady S.M., Schnabel J.A.
Towards realtime multimodal fusion for image-guided interventions using self-similarities.
Medical image computing and computer-assisted intervention : MICCAI 2013 International Conference on Medical Image Computing and Computer-Assisted Intervention, 16, Pt 1, 187-94, 2013
Abstract
Heinrich M.P., Jenkinson M., Papiez B.W., Glesson F.V., Brady S.M., Schnabel J.A.
Edge- and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes.
Information processing in medical imaging, 23, 463-74, 2013
Abstract

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