MIDL 2021

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

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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
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
Säring D., Müllerleile K., Groth M., Lund G., Handels H.
Lokale Analyse von Infarktrandzonen in 3D-DE-MRT Bildsequenzen
In: Deserno T.M., Handels H., Meinzer H.P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2010, Aachen, Informatik aktuell, Springer Verlag, 66-70, 2010
Sambale M., Heinrich M.P., Sciretti D., Trujillo N.
Low-Rank Mask R-CNN
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 193-196, 2018
Polzin T., Rühaak J., Werner R., Handels H., Modersitzki J.
Lung Registration Using Automatically Detected Landmarks
In: 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Lübeck, Abstractband GMDS 2013, ID325:536-537, 2013
Papiez B., Franklin J., Heinrich M.P., Gleeson F.V., Schnabel J.A.
Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization
In: Navab N., Hornegger J., Wells W., Frangi A.F. (eds.), 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, Munich, Lecture Notes in Computer Science, Springer, Berlin, LNCS Vol. 9351, 427-434, 2015
Maier O., Handels H.
Local Problem Forests: Classifier Training for Locally Limited Sub-Problems Using Spectral Clustering
In: 2015 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2015, New York, IEEE Proceedings, The Printing House, 806-809, 2015
Kock-Schoppenhauer A.-K., Kamann C., Ulrich H., Duhm-Harbeck P., Ingenerf J.
Linked Data Applications through Ontology Based Data Access in Clinical Research
In: Informatics for Health 2017, Manchester Central, UK, Studies in Health Technology and Informatics, 235, 131-135, 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
Hempe H., Heinrich M.P.
Light-weight semantic segmentation and labelling of vertebrae in 3D-CT scans
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, Abstract:19, 2022
Hansen L., Dittmer D., Heinrich M.P.
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
In: Graph Learning in Medical Imaging. GLMI 2019, Cham, Lecture Notes in Computer Science, Springer, 11849, 53-61, 2019
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


Program of Study

Study Medical Informatics
at the University of Lübeck

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Susanne Petersen

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