MIDL 2021

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

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Andresen J., Uzunova H., Ehrhardt J., Kepp T., Handels H.
Image registration and appearance adaptation in non-correspondent image regions for new MS lesions detection
Frontiers in Neuroscience, 16, 2022
Abstract
Werner R., Fehlauer F., Ehrhardt J., Albers D., Cremers F., Schmidt R., Handels H.
Impact of Breathing Phase on Thoracic Dose Distribution - an IMRT Treatment Planning Study using 4D CT Image Data
In: 9th Biennial ESTRO Meeting on Physics and Radiation Technology For Clinical Radiotherapy of the European Society of Therapeutic Radiology, ESTRO 2007, Barcelona, Radiotherapy & Oncology, 84 (Supplement 1), 153, 2007
Ehrhardt J., Low D., Handels H., Werner R., Frenzel T., Säring D., Lu W., Low D., Ehrhardt J.
Improved Reconstruction of 4D MSCT Image Data and Motion Analysis of Lung Tumors Using Non-linear Registration Methods
In: Kim S.I., Suh T.S. (eds.), World Congress on Medical Physics and Biomedical Engineering 2006, Seoul, Korea, Springer, Berlin Heidelberg, 14, Part 15, 2288-2291, 2007
Handels H., Werner R., Frenzel T., Säring D., Lu W., Low D., Ehrhardt J.
Improved Reconstruction of 4D MSCT Image Data and Motion Analysis of Lung Tumors Using Non-linear Registration Methods
In: World Congress on Medical Physics and Biomedical Engineering 2006, Seoul, Korea, 2172-2175, 2006
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Werner R., Wilms M., Schmidt-Richberg A., Ehrhardt J., Gauer T., Petersen C., Handels H.
Incorporation of Surrogate-Based Information about Breathing Motion Variations into 4D Dose Calculation: Concept and First Result
In: 43. Jahrestagung der Deutschen Gesellschaft für Medizinische Physik (DGMP), Jena, 390-393, 2012
Schmidt-Richberg A., Handels H., Ehrhardt J.
Integrated Segmentation and Non-Linear Registration for Organ Segmentation and Motion Field Estimation in 4D CT Data
Methods of information in medicine, 48, 4, 344-9, 2009
Abstract
Färber M., Drescher F., Ehrhardt J., Müller S., Handels H.
Integration von haptischen Ein-/Ausgabegeräten zur intuitiven Interaktion mit virtuellen Körpern in OP-Planungssysteme
In: 51. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie, GMDS 2006, Leipzig, Abstractband, 71-72, 2006
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Schmidt-Richberg A., Ehrhardt J., Werner R., Handels H.
Integrierte Segmentierung und Trajektorienberechnung mittels diffeomorpher Registrierung in räumlich-zeitlichen CT-Bildfolgen
In: Meinzer H.P., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2009, Heidelberg, Informatik aktuell, Springer Verlag, 182-186, 2009
Ehrhardt J., Säring D., Handels H.
Interpolation of Temporal Image Sequences by Optical Flow Based Registration
In: Handels H., Ehrhardt J., Horsch A., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2006, Hamburg, Informatik aktuell, Springer-Verlag, 256-260, 2006
Uzunova H., Ehrhardt J., Kepp T., Handels H.
Interpretable Explanations of Black Box Classifiers Applied on Medical Images by Meaningful Perturbations Using Variational Autoencoders
In: Handels H., Deserno T.M., Maier A., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 197, 2019
Uzunova H., Ehrhardt J., Kepp T., Handels H.
Interpretable Explanations of Black Box Classifiers Applied on Medical Images by Meaningful Perturbations using Variational Autoencoders
In: SPIE 10949, Medical Imaging 2019: Image Processing, San Diego, USA, 10949, 1094911-1-1094911-8, 2019
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J
Ehrhardt J., Kepp T., Schmidt-Richberg A., Handels H.
Joint Multi-Object Registration and Segmentation of Left and Right Cardiac Ventricles in 4D Cine MRI
In: Ourselin S., Styner M.A. (eds.), SPIE Medical Imaging 2014, Image Processing, San Diego, USA, 9034, 90340M, 2014
Kepp T., Ehrhardt J., Handels H.
Joint Non-Linear Registration and Level Set Segmentation of the Left Ventricle in 4D MR Image Data
In: Buzug T.M., Ehrhardt J., Handels H., Ingenerf J., et al (eds.), Student Conference 2013, Medical Engineering Science, Lübeck, Grin Verlag, 27-30, 2013
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
L
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
Wilms M., Krüger J., Ehrhardt J., Bischof A., Barkhausen J., Handels H.
Mammo3D - Automatic Determination of Corresponding Structures in 2D/3D Image Data of the Female Breast for Multimodal Breast Cancer Diagnosis
In: 15th Korea-Germany Workshop on Advanced Medical Image Analysis and Cognition-Guided Surgery, Ajou University, Suwon, Korea, 30, 2014
Krüger J., Ehrhardt J., Handels H.
A Maximum-A-Posteriori Framework for Statistical Appearance Models with Probabilistic Correspondences
In: Bayesian an grAphical Models for Biomedical Imaging 2015 (MICCAI 2015), 2015
Malterer S., Ehrhardt J., Frydrychowicz A., Oechtering T., Handels H.
Measurement ans Analysis of the repiration-driven Motion of the Pulmonary Artery
In: Buzug T.M., Birngruber R., Brinkmann R., Gehring H., Gutsmann T., Handels H., Heinrich M.P., et al (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 131-134, 2015
Handels H., Ehrhardt J.
Medical Image Computing for Computer-Supported Diagnostics and Therapy, Advances and Perspectives
Methods of information in medicine, 48, 1, 11-17, 2009
Abstract
Uzunova H., Ehrhardt J., Handels H.
Memory-efficient GAN-based domain translation of high resolution 3D medical images
Computerized Medical Imaging and Graphics, 86, 101801, 2020
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
PDF
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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Wilms M., Ehrhardt J., Handels H.
Modellbasierte 4D-Segmentierung von Lungen mit großen Tumoren in räumlich-zeitlichen CT-Bildfolgen
In: Goltz U., Magnor M., Matthies H., Balke W.T., Wolf L. (eds.), Informatik 2012, Lecture Notes in Informatics, Braunschweig, 1764-1773, 2012
Werner R., Ehrhardt J., Frenzel T., Säring D., Lu W., Low D., Handels H.
Motion Artifact Reducing Reconstruction of 4D CT Image Data for the Analysis of Respiratory Dynamics
Methods of information in medicine, 46, 3, 254-60, 2007
Abstract
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
Wilms M., Handels H., Ehrhardt J.
Multi-resolution multi-object statistical shape models based on the locality assumption.
Medical image analysis, 38, 17-29, 2017
Abstract PDF
Uzunova H., Ehrhardt J., Jacob F., Frydrychowicz A., Handels H.
Multi-Scale GANs for Memory-Effcient Generation of High Resolution 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, 286, 2020
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
Wilms M., Werner R., Ehrhardt J., Schmidt-Richberg A., Schlemmer H.-P., Handels H.
Multivariate Regression Approaches for Surrogate-based Diffeomorphic Estimation of Respiratory Motion in Radiation Therapy
Physics in Medicine and Biology, 59, 1147-1164, 2014
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Andresen J., Uzunova H., Ehrhardt J., Handels H.
New Multiple Sclerosis Lesion Detection with Convolutional Neural Registration Networks
In: Commowick O., Cervenansky F., Cotton F., Dojat M. (eds.), Proceedings of the 2nd MICCAI challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure — MICCAI-MSSEG-2, 111-114, 2021
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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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
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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Wolf J.-C., Schmidt-Richberg A., Werner R., Ehrhardt J., Handels H.
Optimierung nicht-linearer Registrierung durch automatisch detektierte Landmarken
In: Handels H., Ehrhardt J., Deserno T.M., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2011, Informatik aktuell, Lübeck, Springer Berlin Heidelberg, 89-93, 2011
Duscha C., Werner R., Handels H.
Optimization of the Detection Performance of Förstner-Rohr-Type Operators in Abdominal and Thoracic Tomographic Image Data
In: Buzug T.M., Ehrhardt J., Handels H., Ingenerf J., et al (eds.), Student Conference 2013, Medical Engineering Science, Lübeck, Grin Verlag, 35-38, 2013
Handels H., Ehrhardt J., Plötz W., Pöppl S.J.
An Orthopaedic Atlas for the 3D Operation Planning and the Virtual Construction of Endoprostheses in Computer Assisted Orthopaedic Surgery
In: Lemke H.U., Vannier M.W., Inamura K., Farman A.G., Doi K. (eds.), Computer Assisted Radiology and Surgery, CARS 2001, Berlin, Elsevier, 312-317, 2001
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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Werner R., Ehrhardt J., Schmidt R., Handels H.
Patient-Specific Finite Element Modeling of Respiratory Lung Motion Using 4D CT Image Data
Medical Physics, 36, 5, 1500, 2009
Hufnagel H., Pennec X., Ehrhardt J., Handels H., Ayache N.
Point-Based Statistical Shape Models with Probabilistic Correspondences and Affine EM-ICP
In: Horsch A., Deserno T.M., Handels H., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2007, München, Informatik aktuell, Springer Verlag, 434-438, 2007
PDF
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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