Follow
Julia Krüger
Julia Krüger
Researcher, jung diagnostics GmbH
Verified email at jung-diagnostics.de
Title
Cited by
Cited by
Year
Simulation of mammographic breast compression in 3D MR images using ICP-based B-spline deformation for multimodality breast cancer diagnosis
J Krüger, J Ehrhardt, A Bischof, H Handels
International journal of computer assisted radiology and surgery 9 (3), 367-377, 2014
132014
Statistical appearance models based on probabilistic correspondences
J Krüger, J Ehrhardt, H Handels
Medical image analysis 37, 146-159, 2017
122017
Breast compression simulation using ICP-based B-spline deformation for correspondence analysis in mammography and MRI datasets
J Krüger, J Ehrhardt, A Bischof, H Handels
Medical Imaging 2013: Image Processing 8669, 86691D, 2013
102013
Registration with probabilistic correspondences—Accurate and robust registration for pathological and inhomogeneous medical data
J Krüger, S Schultz, H Handels, J Ehrhardt
Computer Vision and Image Understanding 190, 102839, 2020
52020
Bayesian inference for uncertainty quantification in point-based deformable image registration
S Schultz, J Krüger, H Handels, J Ehrhardt
Medical Imaging 2019: Image Processing 10949, 109491S, 2019
52019
Statistical shape and appearance models without one-to-one correspondences
J Ehrhardt, J Krüger, H Handels
Medical Imaging 2014: Image Processing 9034, 90340U, 2014
52014
Estimation of corresponding locations in ipsilateral mammograms: a comparison of different methods
M Wilms, J Krüger, M Marx, J Ehrhardt, A Bischof, H Handels
Medical Imaging 2015: Computer-Aided Diagnosis 9414, 94142B, 2015
32015
A maximum-a-posteriori framework for statistical appearance models with probabilistic correspondences
J Krüger, J Ehrhardt, H Handels
Bayesian and grAphical Models for Biomedical Imaging, 2015
32015
Automatic correspondence detection in mammogram and breast tomosynthesis Images
J Ehrhardt, J Krüger, A Bischof, J Barkhausen, H Handels
Medical Imaging 2012: Image Processing 8314, 831421, 2012
32012
A probabilistic approach for the registration of images with missing correspondences
J Krüger, J Ehrhardt, S Schultz, H Handels
Medical Imaging 2019: Image Processing 10949, 1094925, 2019
12019
Multi-level approach for statistical appearance models with probabilistic correspondences
J Krüger, J Ehrhardt, H Handels
Medical Imaging 2016: Image Processing 9784, 978433, 2016
12016
Deep Learning in der SPECT und PET des Gehirns
R Buchert, J Krüger, N Gessert, W Lehnert, I Apostolova, S Klutmann, ...
Der Nuklearmediziner 42 (02), 118-132, 2019
2019
Statistical appearance models based on probabilistic correspondences for medical image analysis
J Krüger
Ausgezeichnete Informatikdissertationen 2018, 2019
2019
Statistische Appearance-Modelle basierend auf probabilistischen Korrespondenzen für die medizinische Bildanalyse
J Krüger
Zentrale Hochschulbibliothek Lübeck, 2019
2019
Probabilistic Appearance Models for Medical Image Analysis
J Krüger, J Ehrhardt, H Handels
Bildverarbeitung für die Medizin 2018, 37-38, 2018
2018
Simulation mammographischer Brustkompression zur Generierung von MRT-Projektionsbildern
J Krüger, J Ehrhardt, A Bischof, H Handels
Bildverarbeitung für die Medizin 2013, 146-151, 2013
2013
Automatische Bestimmung von 2D/3D-Korrespondenzen in Mammographie-und Tomosynthese-Bilddaten
J Krüger, J Ehrhardt, A Bischof, J Barkhausen, H Handels
Bildverarbeitung für die Medizin 2012, 99-104, 2012
2012
Statistische Appearance-Modelle basierend auf probabilistischen Korrespondenzen für die medizinische Bildanalyse
J Krüger
Evaluation of a B-spline-based breast compression simulation for correspondence analysis between MRI and mammographic image data
J Krüger, J Ehrhardt, A Bischof, H Handels
The system can't perform the operation now. Try again later.
Articles 1–19