MIDL 2021

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

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In Press
Ehrhardt J., Wilms M.
Autoencoders and Variational Autoencoders in Medical Image Analysis
In: Burgos N., Svoboda D. (eds.), Biomedical Image Synthesis and Simulations: Methods and Applications, Academic Press, In Press
2022
Andresen J., Kepp T., Ehrhardt J., von der Burchard C., Roider J., Handels H.
Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies
International Journal of Computer Assisted Radiology and Surgery, 2022
Abstract
Andresen J., Kepp T., Wang-Evers M., Ehrhardt J., Manstein D., Handels H.
Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering
In: Maier-Hein K., Deserno T., Handels H., Maier A., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, 1-6, 2022
Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (eds.)
Student Conference Proceedings 2022: 11th C. on Medical Engineering Science and 7th C. on Medical Informatics and 5th C. on Biomedical Engineering and 4th C. on Auditory Technology and 2nd C. on Biophysics and 2nd C. on Robotics and Autonomous Systems
Infinite Science Publishing, Lübeck, 2022
Kaftan P., Gercke K., Trabhardt A., Ehrhardt J.
Towards a Horizontal Gaze Nystagmus Detector on a Mobile Platform
In: Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (eds.), Student Conference Proceedings 2022: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 319-322, 2022
Kepp T., Andresen J., Sudkamp H., von der Burchard C., Roider J., Hüttmann G., Ehrhardt J., Handels H.
Epistemic and Aleatoric Uncertainty Estimation for PED Segmentation in Home OCT Images
In: Maier-Hein K., Deserno T., Handels H., Maier A., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, 32-37, 2022
Schneider F., Ehrhardt J.
Analysis and implementation of semi-supervised segmentation methods using autoencoders
In: Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (eds.), Student Conference Proceedings 2022: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 479-482, 2022
Uzunova H., Handels H., Ehrhardt J.
Abstract: Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders
In: Maier-Hein K., Deserno T., Handels H., Maier A., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, 81, 2022
Uzunova H., Basso L., Ehrhardt J., Handels H.
Synthesis of annotated pathological retinal OCT data with pathology-induced deformations
In: Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, United States, SPIE, 12033, 2022
Abstract
Uzunova H., Wilms M., Forkert N.D., Handels H., Ehrhardt J.
A systematic comparison of generative models for medical images
International Journal of Computer Assisted Radiology and Surgery, 1-12, 2022
2021
Andresen J., Kepp T., Ehrhardt J., von der Burchard C., Roider J., Handels H.
CNN-based joint non-correspondence detection and registration of retinal optical coherence tomography images
In: CARS 2021: Computer Assisted Radiology and Surgery Proceedings of the 35th International Congress and Exhibition, June 21-25, 2021, Munich, Germany, International Journal of Computer Assisted Radiology and Surgery, 16, 20-21, 2021
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
Lange I., Jacob F., Frydrychowicz A., Handels H., Ehrhardt J.
CT Normalization by Paired Image-to-image Translation for Lung Emphysema Quantification
In: Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2021, Wiesbaden, Informatik Aktuell, Springer Fachmedien Wiesbaden, 276-281, 2021
Uzunova H., Kruse J., Kaftan P., Wilms M., Forkert N.D., Handels H., Ehrhardt J.
Analysis of Generative Shape Modeling Approaches
In: Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2021, Wiesbaden, Informatik Aktuell, Springer Fachmedien Wiesbaden, 344-349, 2021
Uzunova H., Handels H., Ehrhardt J.
Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders
In: Medical Imaging with Deep Learning (MIDL 2021), 2021
2020
Krüger J., Schultz S., Handels H., Ehrhardt J.
Registration with probabilistic correspondences — Accurate and robust registration for pathological and inhomogeneous medical data
Computer Vision and Image Understanding, 190, 102839, 2020
Rajashekar D., Wilms M., MacDonald E.M., Ehrhardt J., Mouches P., Frayne R., Hill M.D., Forkert N.D.
High-resolution T2-FLAIR and non-contrast CT brain atlas of the elderly
Scientific Data, 7, 56, 2020
Uzunova H., Ehrhardt J., Handels H.
Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks
In: 23th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2020, Virtual Conference, Lima, Peru, Springer, Cham, 501-511, 2020
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
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., 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
2019
Bouteldja N., Merhof D., Ehrhardt J., Heinrich M.P.
Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning
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, 23-28, 2019
Ehrhardt J., Ahlborg M., Uzunova H., Buzug T.M., Handels H.
Temporal Polyrigid Registration for Patch-based MPI Reconstruction of Moving Objects
International Journal on Magnetic Particle Imaging, 5, 1, 2019
Kepp T., Ehrhardt J., Heinrich M.P., Hüttmann G., Handels H.
Topology-Preserving Shape-Based Regression of Retinal Layers in OCT Image Data Using Convolutional Neural Networks
In: IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venedig, Italien, 1437-1440, 2019
PDF
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
Schultz S., Krüger J., Handels H., Ehrhardt J.
Bayesian Inference for Uncertainty Quantification in Point-based Deformable Image Registration
In: SPIE 10949, Medical Imaging 2019: Image Processing, San Diego, USA, 10949, 109491S-1-109491S-8, 2019
Uzunova H., Schultz S., Handels H., Ehrhardt J.
Evaluation of Image Processing Methods for Clinical Applications
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, 15-20, 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: 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
PDF
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
Uzunova H., Schultz S., Handels H., Ehrhardt J.
Unsupervised Pathology Detection in Medical Images using Conditional Variational Autoencoders
International Journal of Computer Assisted Radiology and Surgery, 14, 3, 451-461, 2019
2018
Ehrhardt J., Ahlborg M., Uzunova H., Buzug T.M., Handels H.
Temporal Polyrigid Registration for Patch-based MPI Reconstruction of Moving Objects
In: Knopp T., Buzug T.M. (eds.), 8th International Workshop on Magnetic Particle Imaging, IWMPI 2018, Hamburg, Infinite Science Publishing, 55-56, 2018
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
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
Suinesiaputra A., Ablin P., Alba X., Alessandrini M., Allen J., Bai W., Cimen S., Claes P., Cowan B.R., D'hooge J. et al.
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge.
IEEE journal of biomedical and health informatics, 22, 2, 503-515, 2018
Abstract
Uzunova H., Handels H., Ehrhardt J.
Unsupervised Pathology Detection in Medical Images using Learning-based Methods
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, 61-66, 2018
2017
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
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
Buzug T.M., Handels H. (eds.)
Student Conference Proceedings 2017: 6th Conference on Medical Engineering Science and 2nd Conference on Medical Informatics
Infinite Science Publishing, Lübeck, 2017
Fleitmann M., Käferlein O., Wilms M., Säring D., Handels H., Ehrhardt J.
Vergleich von Verfahren zur automatischen Detektion der Position und Orientierung des Herzens in 4D-Cine-MRT-Bilddaten
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, 293-298, 2017
Krüger J., Ehrhardt J., Handels H.
Statistical appearance models based on probabilistic correspondences
Medical Image Analysis, 37, 146-159, 2017
Uzunova H., Handels H., Ehrhardt J.
Groupwise Affine Registration of Medical Images with Missing Correspondences
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 213-216, 2017
Uzunova H., Handels H., Ehrhardt J.
Robust Groupwise Affine Registration of Medical Images with Stochastic Optimization
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, 62-67, 2017
Uzunova H., Wilms M., Handels H., Ehrhardt J.
Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation
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, 223-231, 2017
PDF
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
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
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
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
PDF
Wilms M., Werner R., Yamamoto T., Handels H., Ehrhardt J.
Subpopulation-based correspondence modelling for improved respiratory motion estimation in the presence of inter-fraction motion variations
Physics in Medicine and Biology, 62, 14, 5823-5839, 2017
2016
Ehrhardt J., Wilms M., Handels H., Säring D.
Automatic Detection of Cardiac Remodeling using Global and Local Clinical Measures and Random Forest Classification
In: MICCAI Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, Springer International Publishing, 199-207, 2016

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