| 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 | 13 | 2014 |
| Statistical appearance models based on probabilistic correspondences J Krüger, J Ehrhardt, H Handels Medical image analysis 37, 146-159, 2017 | 12 | 2017 |
| 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 | 10 | 2013 |
| 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 | 5 | 2020 |
| 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 | 5 | 2019 |
| Statistical shape and appearance models without one-to-one correspondences J Ehrhardt, J Krüger, H Handels Medical Imaging 2014: Image Processing 9034, 90340U, 2014 | 5 | 2014 |
| 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 | 3 | 2015 |
| 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 | 3 | 2015 |
| 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 | 3 | 2012 |
| 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 | 1 | 2019 |
| Multi-level approach for statistical appearance models with probabilistic correspondences J Krüger, J Ehrhardt, H Handels Medical Imaging 2016: Image Processing 9784, 978433, 2016 | 1 | 2016 |
| 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 | | |
Matthias WilmsUniversity of CalgaryVerified email at ucalgary.ca
