MIDL 2021

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

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2014
Papież B.W., Heinrich M.P., Fehrenbach J., Risser L., Schnabel J.A.
An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration.
Medical image analysis, 18, 8, 1299-311, 2014
Abstract
2013
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
2012
Heinrich M.P., Jenkinson M., Jenkinson M., Schnabel J.A.
Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling.
Medical image computing and computer-assisted intervention : MICCAI 2012 International Conference on Medical Image Computing and Computer-Assisted Intervention, 15, Pt 3, 115-22, 2012
Abstract
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
2010
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
Werner R., White B., Handels H., Lu W., Low D.A.
Technical Note: Development of a Tidal Volume Surrogate that Replaces Spirometry for Physiological Breathing Monitoring in 4D CT
Medical physics, 37, 2, 615-9, 2010
Abstract
2009
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
2007
Ehrhardt J., Werner R., Säring D., Frenzel T., Lu W., Low D., Handels H.
An optical flow based method for improved reconstruction of 4D CT data sets acquired during free breathing.
Medical physics, 34, 2, 711-21, 2007
Abstract
2003
Linder R., Reinhold-Keller E., Gross W.L.
Use of an artificial neural network to predict cancer development in patients with inflammatory myopathy: comment on the letter by Selva O'Callaghan et al.
Arthritis and rheumatism, 48, 4, 1168-9;authorreply1169-70, 2003
2002
Linder R., Dinser R., Wagner M., Krueger G.R.F., Hoffmann A.
Generation of classification criteria for chronic fatigue syndrome using an artificial neural network and traditional criteria set.
In vivo (Athens, Greece), 16, 1, 37-43, 2002
Abstract
Mohamed E.I., Linder R., Perriello G., Di Daniele N., Pöppl S.J., De Lorenzo A.
Predicting Type 2 Diabetes Using an Electronic Nose-based Artificial Neural Network Analysis
Diabetes, nutrition & metabolism, 15, 4, 215-21, 2002
Abstract
2001
Schmitt W.H., Linder R., Reinhold-Keller E., Gross W.L.
Improved Differentiation Between Churg-Strauss Syndrome and Wegener's Granulomatosis by an Artificial Neural Network
Arthritis and rheumatism, 44, 8, 1887-96, 2001
Abstract

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