MIDL 2021

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

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2020
Kasten M., Li F., Hunag X., Grzegorzek M.
Analysis of the Relevance of Physiological Signals for Sleep Stage Classification using Deep Neural Networks
In: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Berlin, Germany, 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
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
Ulrich H., Kock-Schoppenhauer A.-K., Drenkhahn C.M., Löbe M., Ingenerf J.
Analysis of ISO/TS 21526 Towards the Extension of a Standardized Query API
Studies in Health Technology and Informatics, 275, 202-206, 2020
2021
Banach A., Ulrich H., Kroll B., Kiel A., Ingenerf J., Kock-Schoppenhauer A.-K.
APERITIF – Automatic Patient Recruiting for Clinical Trials Based on HL7 FHIR
Studies in Health Technology and Informatics, 281, 58-62, 2021
Banach A., Kock-Schoppenhauer A.-K., Ulrich H., Ingenerf J.
The Automatic Evaluation of Metadata in Healthcare
GMS Medizinische Informatik, Biometrie und Epidemiologie, 2021
Friedrich B., Steen E.-E., Fudickar S., Hein A.
Analysing the Correlation of Geriatric Assessment Scores and Activity in Smart Homes
International Journal of UbiComp, Academy and Industry Research Collaboration Center (AIRCC), 12, 2, 1-15, 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
2022
Gruendner J., Deppenwiese N., Folz M., Köhler T., Kroll B., Prokosch H.-U., Rosenau L., Rühle M., Scheidl M.-A., Schüttler C. et al.
The Architecture of a Feasibility Query Portal for Distributed COVID-19 Fast Healthcare Interoperability Resources (FHIR) Patient Data Repositories: Design and Implementation Study
JMIR Medical Informatics, 11, 5, e36709, 2022
Jagtap A.D., Himstedt M., Heinrich M.P.
Automatic Generation of Synthetic Data for Domain Randomization and Adaptation
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, 137-140, 2022
Koser N.C., Hempe H., Heinrich M.P.
Analysis of the impact of super-resolution on medical CT-Scans for classification and segmentation
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, 235-238, 2022
Raasch M., Grzegorzek M.
Automatic Nightmare Recognition Using Convolutional Neural Network
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, 187-190, 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
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

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