MIDL 2021

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

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M
Mastmeyer A.
Patientenspezifische Virtual-Reality-Simulationen, Ultraschallgestützte Nadelpunktionen in atmungsbewegten virtuellen Patienten
Handels H. (ed.), Research Series of the Institute of Medical Informatics, University of Lübeck, Infinite Science Publishing, Lübeck, 2018
Mastmeyer A., Fortmeier D., Handels H.
Random forest classification of large volume structures for visuo-haptic rendering in CT images
In: Styner M.A., Angelini E.D. (eds.), SPIE Medical Imaging 2016: Image Processing, San Diego, California, United States, SPIE, 9784, 97842H-97842H-8, 2016
Abstract
Mastmeyer A., Fortmeier D., Handels H.
Anisotropic Diffusion for Direct Haptic Volume Rendering in Lumbar Puncture Simulation
In: Tolxdorff T., Deserno T.M., Handels H., Meinzer H.-P. (eds.), Bildverarbeitung in der Medizin 2012, Informatik aktuell, Berlin, Springer, Berlin Heidelberg, 286-291, 2012
Mastmeyer A., Wilms M., Handels H.
Interpatientenübertragung von Atemmodellen für das Virtual-Reality-Training von Punktionseingriffen
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, 340-345, 2017
Mastmeyer A., Pernelle G., Barber L., Pieper S., Fortmeier D., Wells S., Handels H., Kapur T.
Model-based Catheter Segmentation in MRI-Images
In: MICCAI Workshop on Interactive Medical Image Computing, IMIC 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, 110-117, 2015
PDF
Mastmeyer A., Wilms M., Handels H.
Population-based Respiratory 4D Motion Atlas Construction and its Application for VR Simulations of Liver Punctures
In: Angelini E.D. (ed.), SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 1057417-1-1057417-7, 2018
Mastmeyer A., Fortmeier D., Handels H.
Direct Haptic Volume Rendering in Lumbar Puncture Simulation
In: MMVR 2012, Stud Health Technol Inform, 173, IOS Press, 280-286, 2012
Mastmeyer A., Wilms M., Handels H.
Populationsbasierte 4D Bewegungsatlanten für VR Simulationen
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, 200, 2018
Marx M., Ehrhardt J., Werner R., Schlemmer H.-P., Handels H.
4D-MRT-basierte Simulation der Lungenbewegung in statischen CT-Daten
In: Meinzer H.-P., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin, BVM 2013, Heidelberg, Informatik aktuell, Springer Verlag, Berlin, 134-139, 2013
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Maier O., Wilms M., von der Gablentz J., Krämer U., Handels H.
Ischemic Stroke Lesion Segmentation in Multi-Spectral MR Images with Support Vector Machine Classifiers
In: Aylward S., Hadjiiski L.M. (eds.), SPIE Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, California, USA, SPIE, 9035, 903504-903504-12, 2014
Maier O., Wilms M., Handels H.
Image Features for Brain Lesion Segmentation Using Random Forests
In: Crimi A., Menze B., Maier O., Reyes M., Handels H. (eds.), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (Brainles 2015), München, Lecture Notes in Computer Science, Springer International Publishing, 9556, 119-130, 2016
Maier A., Deserno T.M., Handels H., Maier-Hein K., Palm C., Tolxdorff T.
Guest Editorial of the IJCARS—BVM 2018 Special Issue
International Journal of Computer Assisted Radiology and Surgery, 14, 1, 1-2, 2019
Maier O., Wilms M., Handels H.
Random Forests with Selected Features for Stroke Lesion Segmentation
In: MICCAI Challenge on Ischemic Stroke Lesion Segmentation, ISLES 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, 17-22, 2015
Maier O., Handels H.
MS lesion segmentation in MRI with random forests
Proc. 2015 Longitudinal Multiple Sclerosis Lesion Segmentation Challenge, 1-2, 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
Maier A., Deserno T.M., Handels H., Maier-Hein K., Palm C., Tolxdorff T.
IJCARS: BVM 2019 special issue
International Journal of Computer Assisted Radiology and Surgery, 14, 11, 1823-1824, 2019
L
Lux P., Diesel J., Heinrich M.P.
2D Image Registration for Transforming Segmentation Masks within a Multi-Modal Camera Setup
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2019, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 129-132, 2019
Lucas C., Maier O., Heinrich M.P.
Shallow fully-connected neural networks for ischemic stroke-lesion segmentation in MRI
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung in der Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 261-266, 2017
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
Leischner C., Handels H., Kreusch J., Pöppl S.J.
Analyse kleiner pigmentierter Hautläsionen für die Melanomfrüherkennung
In: Wittenberg T., Hastreiter P., Hoppe U., Handels H., Horsch A., Meinzer H.P. (eds.), Bildverarbeitung für die Medizin 2003, Erlangen, Informatik aktuell, Springer Verlag, Berlin, 220-224, 2003
Lehmann T.M., Hiltner J., Handels H.
Medizinische Bildverarbeitung
In: Lehmann T.M. (ed.), Handbuch Medizinische Informatik, München, 361-424, 2005
Laule D., Diesel J., Heinrich M.P.
Occlusion Estimation in 3D Point Clouds using Visual Data from Home Care Scenarios
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 185-188, 2018
Landwehr L., Bouwman C., Aben J.P., Prinzen F.W., Heinrich M.P.
Myocardial Strain Measurement – A Registrational Method with Block Matching Approach–
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 195-198, 2016
K
Krüger J., Ehrhardt J., Handels H.
Probabilistic Appearance Models for Segmentation and Classification
In: International Conference on Computer Vision - ICCV 2015, Santiago de Chile, Chile, 1698-1706, 2015
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
Krüger J., Ehrhardt J., Handels H.
Multi-level approach for statistical appearance models with probabilistic correspondences
In: Styner M.A., Angelini E.D. (eds.), SPIE Medical Imaging 2016: Image Processing, San Diego, California, United States, SPIE, 9784, 978433-978433-6, 2016
Krüger J., Ehrhardt J., Bischof A., Handels H.
Simulation mammographischer Brustkompression zur Generierung von MRT-Projektionsbildern
In: Meinzer H.-P., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin, BVM 2013, Heidelberg, Informatik aktuell, Springer Verlag, Berlin, 146-151, 2013
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