MIDL 2021

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

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J
Broecker N., Ehrhardt J.
Joint registration and segmentation using statistical shape models
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 201-204, 2017
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Schmidt-Richberg A., Werner R., Ehrhardt J., Wolf J.-C., Handels H.
Landmark-driven Parameter Optimization for Non-linear Image Registration
In: Image Processing, SPIE Medical Imaging 2011, Lake Buena Vista, Florida, USA, SPIE, 7962, 79620T1-79620T8, 2011
Wilms M., Handels H., Ehrhardt J.
Learning of Representative Multi-Resolution Multi-Object Statistical Shape Models from Small Training Populations
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 359-360, 2017
Hufnagel H., Ehrhardt J., Pennec X., Ayache N., Handels H.
Level Set Segmentation Using a Point-Based Statistical Shape Model Relying on Correspondence Probabilities
In: Workshop Probabilistic Models for Medical Image Analysis, PMMIA 09, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, London, United Kingdom, 34-44, 2009
Färber M., Ehrhardt J., Handels H.
Live-wire-based segmentation using similarities between corresponding image structures.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 31, 7, 549-60, 2007
Abstract
Wendland H., Klinder T., Ehrhardt J., Wiemker R.
Lung Fissure Detection Using a Line Enhancing Filter
In: Buzug T.M., Ehrhardt J., Handels H., Ingenerf J., et al (eds.), Student Conference 2013, Medical Engineering Science, Lübeck, Grin Verlag, 23-26, 2013
Schmidt-Richberg A., Ehrhardt J., Werner R., Handels H.
Lung Registration with Improved Fissure Alignment by Integration of Pulmonary Lobe Segmentation
In: Ayache N., Delingette H., Golland P., Moriet K. (eds.), 15th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, Nizza, Frankreich, Springer, Berlin, Part II, LNCS 7511, 74-81, 2012
M
Bouteldja N., Wilms M., Handels H., Säring D., Ehrhardt J.
Model-Based 4D Segmentation of Cardiac Structures in Cine MRI Sequences
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 18-23, 2017
Werner R., Ehrhardt J., Schmidt-Richberg A., Handels H.
Model-Based Risk Assessment for Motion Effects in 3D Radiotherapy of Lung Tumors
In: Holmes D.R., Wong K.H. (eds.), Image-Guided Procedures, Robotic Interventions, and Modeling, SPIE Medical Imaging 2012, San Diego, California, USA, SPIE, 8316, 83160C1-83160C8, 2012
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Handels H., Werner R., Ehrhardt J.
Modeling and Analysis of Lung Motion Based on Spatio-Temporal CT Image Data
In: 11th Joint Korea-Germany Workshop on Advanced Medical Image Processing, Incheon, Korea, 2008
Werner R., Ehrhardt J., Schmidt R., Handels H.
Modeling Respiratory Lung Motion - A Biophysical Approach using Finite Element Methods
In: Hu X.P., Clough A.V. (eds.), Physiology, Function, and Structure from Medical Images, SPIE Medical Imaging 2008, San Diego, Vol. 6916, 0N-1-0N-11, 2008
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Ehrhardt J., Handels H.
Motion Estimation in Artifact-affected 4D CT Images Using Temporal Consistent Model-based Registration with Local Adaptive Weights
In: MICCAI Workshop Image Guided Radiation Therapy, 17th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, Boston, 5-12, 2014
Krüger J., Ehrhardt J., Handels H.
Multi-level approach for statistical appearance models with probabilistic correspondences
In: Styner M.A., Angelini E.D. (eds.), SPIE Medical Imaging 2016: Image Processing, San Diego, California, United States, SPIE, 9784, 978433-978433-6, 2016
Uzunova H., Ehrhardt J., Jacob F., Frydrychowicz A., Handels H.
Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
In: 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019, Shenzen, China, 11769, 112-120, 2019
Schultz S., Handels H., Ehrhardt J.
A multilevel Markov Chain Monte Carlo approach for uncertainty quantification in deformable registration
In: Angelini E.D. (ed.), SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 105740O-1-105740O-8, 2018
N
Säring D., Ehrhardt J., Handels H., Pöppl S.J.
Nicht-lineare voxelbasierte Registrierung unter Einbeziehung von Differentialeigenschaften
In: Tolxdorff T., et al (eds.), Bildverarbeitung für die Medizin 2004: Algorithmen - Systeme - Anwendungen, Berlin, Informatik aktuell, Springer-Verlag, 284-288, 2004
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O
Ehrhardt J., Säring D., Handels H.
Optical Flow-based Interpolation of Temporal Image Sequences
In: Reinhardt J.M., Pluim P.W. (eds.), Image Processing, SPIE Medical Imaging 2006, San Diego, Vol. 6144, 61442K-1-61442K-8, 2006
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P
Wilms M., Handels H., Ehrhardt J.
Patch-Based Learning of Shape, Appearance, and Motion Models from Few Training Samples by Low-Rank Matrix Completion
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 215-216, 2017
Ehrhardt J., Wilms M., Handels H.
Patch-based Low-rank Matrix Completion for Learning of Shape and Motion Models from Few Training Samples
In: 14th European Conference on Computer Vision (ECCV) 2016, Amsterdam, Lecture Notes in Computer Science, 9908, 712-727, 2016
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Wilms M., Werner R., Yamamoto T., Handels H., Ehrhardt J.
Population-based Correspondence Models for Respiratory Motion Estimation in the Presence of Interfraction Motion Variations
In: Imaging and Computer Assistance in Radiation Therapy, ICART 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, 81-88, 2015
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Ehrhardt J., Werner R., Schmidt-Richberg A., Handels H.
Prediction of Respiratory Motion Using A Statistical 4D Mean Motion Model
In: The Second International Workshop on Pulmonary Image Analysis, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, London, United Kingdom, http://www.ncbi.nlm.nih.gov/pubmed/20876013?dopt=Abstract, 3-14, 2009
Krüger J., Ehrhardt J., Handels H.
Probabilistic Appearance Models for Medical Image Analysis
In: Maier A., Deserno T.M., Handels H., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 37-38, 2018
Krüger J., Ehrhardt J., Handels H.
Probabilistic Appearance Models for Segmentation and Classification
In: International Conference on Computer Vision - ICCV 2015, Santiago de Chile, Chile, 1698-1706, 2015
Krüger J., Ehrhardt J., Schultz S., Handels H.
A Probabilistic Approach for the Registration of Images with Missing Correspondences
In: SPIE 10949, Medical Imaging 2019: Image Processing, San Diego, USA, 10949, 1094925-1-10949251-8, 2019
Krüger J., Ehrhardt J., Handels H.
Probabilistic Shape and Appearance Models without One-to-One Correspondences
In: 1st Symposium on Statistical Shape Models and Applications, Shape 2014, Delemont, Switzerland, Proceedings, 22, 2014
Schmidt-Richberg A., Ehrhardt J., Wilms M., Werner R., Handels H.
Pulmonary Lobe Segmentation with Level Sets
In: Image Processing, SPIE Medical Imaging 2012, San Diego, California, USA, SPIE, 8314, 83142V1-83142V8, 2012
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Q
Uzunova H., Kaftan P., Wilms M., Forkert N.D., Handels H., Ehrhardt J.
Quantitative Comparison of Generative Shape Models for Medical Images
In: Tolxdorff T., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Palm C. (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 201-207, 2020
R
Frenzel T., Werner R., Säring D., Ehrhardt J., Lu W., Low D., Handels H.
Reconstruction of 4D-CT Datasets from 3D Data Segments Acquired During Free Breathing
In: Boenick U., Bolz A. (eds.), 14th International Conference on Medical Physics, Biomedizinische Technik, Vol. 50, Supplementary, Vol. 1, Part 2, 909-910, 2005
Wilms M., Handels H., Ehrhardt J.
Representative Patch-based Active Appearance Models Generated From Small Training Populations
In: Descoteaux M., et al (eds.), 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017, Quebec, Springer, Part I, LNCS 10433, 152-160, 2017
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