MIDL 2021

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

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In Press
Fleitmann M., Uzunova H., Stroth A.M., Gerlach J., Fürschke A., Barkhausen J., Bischof A., Handels H.
Deep-Learning-based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization
In: International Conference on Wireless Mobile Communication and Healthcare, In Press
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, 1-119, 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
Bigalke A., Hansen L., Heinrich M.P.
End-to-end learning of body weight prediction from point clouds with basis point sets
In: Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 254-259, 2021
Fleitmann M., Uzunova H., Stroth A.M., Gerlach J., Fürschke A., Barkhausen J., Bischof A., Handels H.
Deep-Learning-Based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization
In: International Conference on Wireless Mobile Communication and Healthcare, Springer, 315-322, 2021
Hansen L., Heinrich M.P.
Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg challenge
In: Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 125-126, 2021
Huttmann G., Wunderlich M., Koch P., Sudkamp H., Theisen-Kunde D., Kepp T., Handels H., von der Burchard C., Roider J.
Improved SELFF-OCT using motion correction and artifact detection
Investigative Ophthalmology & Visual Science, 62, 8, 2527, 2021
Kruse C., Hansen L., Heinrich M.P.
Multi-modal Unsupervised Domain Adaptation for Deformable Registration Based on Maximum Classifier Discrepancy
In: Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 192-197, 2021
Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Tolxdorff T. (eds.)
Bildverarbeitung für die Medizin 2021
Springer Vieweg, Berlin Heidelberg, Regensburg, 2021
Schumacher M., Frey D., Ha I.Y., Genz A., Bade R., Heinrich M.P.
Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning
In: Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 16-21, 2021
Siebert H., Hansen L., Heinrich M.P.
Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters
In: Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 111-116, 2021
Strenge P., Lange B., Grill C., Draxinger W., Danicke V., Theisen-Kunde D., Handels H., Bonsanto M.M., Hagel C., Huber R. et al.
Characterization of brain tumor tissue with 1310 nm optical coherence tomography
In: Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV, Online Only, United States, International Society for Optics and Photonics, 11630, 116301T, 2021
Strenge P., Lange B., Grill C., Draxinger W., Danicke V., Theisen-Kunde D., Handels H., Hagel C., Bonsanto M.M., Huber R. et al.
Creating a depth-resolved OCT-dataset for supervised classification based on ex vivo human brain samples
In: Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV, Online Only, United States, International Society for Optics and Photonics, 11630, 116301S, 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, 2021
2020
Banach A., Kock-Schoppenhauer A.-K., Ulrich H., Ingenerf J.
MetaCheck – a Web Application for the Automatic Evaluation of Metadata in Healthcare
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 143-146, 2020
Barkow L., Meincke O., Ulrich H., Ingenerf J.
Analysis of Data Loss when using the Archiving and Exchange Interface for Practice Management Systems
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 123-126, 2020
Bartram L., Dedersen B., Heinrich M.P.
Development of a Deep Learning based classification of respirator masks for a mobile application
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 193-196, 2020
Blendowski M., Heinrich M.P.
Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data
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, 192, 2020
Boudnik L., Hochreiter J., Müllegger G., Heinrich M.P.
Removal of ECG artifacts caused by mechanical CPR using externally recorded compression markers
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 323-326, 2020
Buzug T.M., Handels H., Klein S., Mertins A. (eds.)
Student Conference Proceedings 2020: 9th Conference on Medical Engineering Science and 5th Conference on Medical Informatics and 3rd Conference on Biomedical Engineering and 2nd Conference on Auditory Technology
Infinite Science Publishing, Lübeck, 2020
Carass A., Roy S., Gherman A., Reinhold J.C., Jesson A., Arbel T., Maier O., Handels H., Ghafoorian M., Platel B. et al.
Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis
Scientific Reports, 10, 1, 1-19, 2020
Fleitmann M., Soika K., Stroth A.M., Gerlach J., Fürschke A., Hunold P., Barkhausen J., Bischof A., Handels H.
Computer-Assisted Quality Assessment of Aortic CT Angiographies for Patient-Individual Dose Adjustment
Studies in Health Technology and Informatics, 270, 123-127, 2020
Fleitmann M., Soika K.L., Stroth A.M., Gerlach J., Fürschke A., Hunold P., Barkhausen J., Bischof A., Handels H.
Computer-Assisted Quality Assessment of Aortic CT Angiographies for Patient-Individual Dose Adjustment
Studies in Health Technology and Informatics, Genf, 270, 123-127, 2020
Gillner M.L., Hansen L., Heinrich M.P.
Fast Pulmonary Fissure Detection in CT Scans using Deep Learning on Point Clouds
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 201-204, 2020
Großbröhmer C., Blendowski M., Heinrich M.P.
Efficient Self-Supervised Context Learning on MRI data
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 189-192, 2020
Hansen L., Blendowski M., Heinrich M.P.
Defence of Mathematical Models for Deep Learning based Registration
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, 32, 2020
Herrmann S., Schneider D., Mrongowius J., Heinrich M.P.
Aortic Detection in Image Sequences of Electrical Impedance Tomography
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 335-338, 2020
Kath N., Seidel A., Ingenerf J.
Connecting Old Devices Safely To The Cloud
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 277-280, 2020
Kepp T., Sudkamp H., von der Burchard C., Schenke H., Koch P., Hüttmann G., Roider J., Heinrich M.P., Handels H.
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning
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, 183, 2020
Kepp T., Sudkamp H., von der Burchard C., Schenke H., Koch P., Hüttmann G., Roider J., Heinrich M.P., Handels H.
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
In: SPIE Medical Imaging 2020, Houston, USA, 2020
Keuth R., Hansen L., Heinrich M.P.
Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung
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, 294-300, 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
Liebenow L., Twesten C., Grzegorzek M.
Transforming Nutrition Databases Towards Semantically Consistent Content Classification
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 147-150, 2020
Lucas C., Aulmann L.F., Kemmling A., Mamlouk A.M., Heinrich M.P.
Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
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, 143, 2020
Mietzner O., Mastmeyer A.
Automatic multi-object organ detection and segmentation in abdominal CT data
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 197-200, 2020
Mietzner O., Mastmeyer A.
Automatische Detektion von Zwischenorgan-3D-Barrieren in abdominalen CT-Daten
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, 46-51, 2020
Pallenberg R., Fleitmann M., Soika K., Handels H.
Automatic anatomical structure detection in aortic CT angiography
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 157-160, 2020
Pallenberg R., Fleitmann M., Soika K., Stroth A.M., Gerlach J., Furschke A., Barkhausen J., Bischof A., Handels H.
Automatic Quality Measurement of Aortic Contrast-enhanced CT Angiographies for Patient-specific Dose Optimization
International Journal of Computer Assisted Radiology and Surgery, 15, 1611-1617, 2020
Postel S., Mastmeyer A., Hirsch J.
Workflow development to create and analyse QA parameter from MRI images
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 185-188, 2020
Reimer N., Busch H., Ingenerf J.
Deploying a molecular tumor board on an open platform
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 139-142, 2020
Rüttgers S., Hocke J., Heinrich M.P.
Automatic segmentation of prostate zones in MRI data using different variants of the U-Net
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 169-172, 2020
Siebert H., Heinrich M.P.
Deep Groupwise Registration of MRI Using Deforming Autoencoders
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, 236-241, 2020
Sirocko J., Diesel J., Heinrich M.P.
Frequency based detection of regions of interest in videodata to estimate human breathing frequency
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 177-180, 2020
Stroth A., Fürschke A., Gerlach J., Barkhausen J., Bischof A., Fleitmann M., Soika K., Handels H.
Patientenindividuelle Optimierung der Kontrastmittelapplikation bei der CT Angiografie der Aorta
Fortschr Röntgenstr, 192, S 01, S28, 2020
Tolxdorff T., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Palm C. (eds.)
Bildverarbeitung für die Medizin 2020
Springer Vieweg, Berlin Heidelberg, Berlin, 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
Vogl K.M., Ulrich H., Ingenerf J.
Generation of message transformers based on HL7 FHIR StructureMaps within the interface engine Mirth Connect
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 131-134, 2020

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