MIDL 2021

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

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2022
Falta F., Hansen L., Himstedt M., Heinrich M.P.
Learning an airway atlas from lung CT using semantic inter-patient deformable registration
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, 75-80, 2022
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
Vogl K., Ingenerf J., Kramer J., Chantraine C., Drenkhahn C.M.
LUMA: A Mapping Assistant for Standardizing the Units of LOINC-Coded Laboratory Tests
Applied Sciences, 12, 12, 5848, 2022
Abstract
2021
Drenkhahn C.M., Ingenerf J.
lost in translation? semantische standardisierung!
gesundhyte.de, 14, 25-28, 2021
Abstract
Siebert H., Rajamani K.T., Heinrich M.P.
Learning inverse consistent 3D groupwise registration with deforming autoencoders
In: SPIE Medical Imaging 2021, SPIE, 2021
Zhang J., Li C., Kosov S., Grzegorzek M., Shirahama K., Jiang T., Sun C., Li Z., Li H.
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation
Pattern Recognition, Elsevier, 115, 2021
2020
Blendowski M., Heinrich M.P.
Learning to map between ferns with differentiable binary embedding networks
In: International Conference on Medical Imaging with Deep Learning, PMLR, 2020
Drenkhahn C.M., Ingenerf J.
The LOINC Content Model and Its Limitations of Usage in the Laboratory Domain
Studies in Health Technology and Informatics, 270, 437-442, 2020
2019
Blendowski M., Heinrich M.P.
Learning Interpretable Multi-modal Features for Alignment with Supervised Iterative Descent
In: International Conference on Medical Imaging with Deep Learning, PMLR, 102, 73-83, 2019
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
Kosov S., Shirahama K., Grzegorzek M.
Labeling of Partially Occluded Regions via the Multi-Layer CRF
Multimedia Tools and Applications, 78, 2, 2551-2569, 2019
2018
Lucas C., Kemmling A., Bouteldja N., Aulmann L.F., Madany Mamlouk A., Heinrich M.P.
Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations
Frontiers in Neurology, 9, 989, 2018
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
2017
Carass A., Roy S., Jog A., Cuzzocreo J.L., Magrath E., Gherman A., Button J., Nguyen J., Prados F., Sudre C.H. et al.
Longitudinal multiple sclerosis lesion segmentation: Resource and challenge
NeuroImage, 148, 77-102, 2017
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
Werner R., Schetelig D., Sothmann T., Mücke E., Wilms M., Cheng B., Forkert N.D.
Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study
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, 161-166, 2017
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
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
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
2014
Polzin T., Rühaak J., Werner R., Handels H., Modersitzki J.
Lung Registration Using Automatically Detected Landmarks
Methods of Information in Medicine, 53, 4, 250-256, 2014
2013
Büchler A., Graeve L., Ingenerf J., Thorns C.
Leitlinien-basierte strukturierte Dokumentation in der Pathologie
In: GMDS, Lübeck, 2013
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
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
2012
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
2011
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
2010
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
2009
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
2007
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
2006
Linder R.
Lernstrategien zur automatisierten Anwendung künstlicher neuronaler Netzwerke in der Medizin
Logos, Berlin, 2006

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