MIDL 2021

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

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Zhibin X., Heinrich M.P.
Deep learning-based image registration for voxel-based morphometry
In: Buzug T.M., Handels H., Hübner C., Klein S., Mertins A., Rostalski P. (eds.), Student Conference Proceedings 2021: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 275-278, 2021
Zell F., Heinrich M.P.
Propagation of landmarks with a registration graph
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 209-212, 2017
Zantop K., Kartalis N., Heinrich M.P., Moreno R.
Influence of Affine Image Registration on the Calculation of Diffusion Properties with a Kurtosis Model in Diffusion Weighted Imaging
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 217-220, 2018
Zamnius D., Heinrich M.P., Lukas S., Siebert H.
Intertemporal Slice-to-Volume matching in Cardiac CT Perfusion Imaging
In: Buzug T.M., Handels H., Hübner C., Klein S., Mertins A., Rostalski P. (eds.), Student Conference Proceedings 2021: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 267-270, 2021
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Wilms M., Ha I.Y., Handels H., Heinrich M.P.
Model-based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-guided Interventions
In: Ourselin S., Joskowicz L., Sabuncu M.R., Unal G., Wells W. (eds.), 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016, Athen, Image Processing, Computer Vision, Pattern Recognition, and Graphics, Springer International Publishing, 9902, 89-97, 2016
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Wessel J., Heinrich M.P.
Multiple Landmark Localization in medical CT Scans using Deep Neural Networks with Heatmap Regression
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 197-200, 2018
Weller D., Hansen L., Blendowski M., Heinrich M.P.
Transferring a Deep Cityscape Synthesis Approach to the Medical Domain
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 91-94, 2018
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Vogt N., Lorenz C., Brosch T., Heinrich M.P.
Deep learning for spinal centerline extraction
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 229-232, 2017
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Soika K.L., Melnik S., Heinrich M.P.
Simulated Monochromatic X-ray Images by Forward Projection Utilizing the Lambert-Beer Law
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 285-288, 2017
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
Siebert M., Hansen L., Diesel J., Heinrich M.P.
Human Pose Estimation with Hourglass Network and Convolutional Autoencoder
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, 141-144, 2019
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
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
Schumacher M., Genz A., Heinrich M.P.
Weakly supervised pancreas segmentation based on class activation maps
In: SPIE Medical Imaging 2020: Image Processing, Houston, United States, 11313, 1131314, 2020
Schumacher M., Klinder T., Schmidt-Richberg A., Kabus S., Heinrich M.P.
Evaluation of medical image registration algorithms on pulmonary inhale and exhale CT scans
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 191-194, 2016
Schumacher M., Bade R., Genz A., Heinrich M.P.
Iterative 3D CNN based Segmentation of Vascular Trees in Liver CT
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, 7-12, 2022
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
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Polzin T., Niethammer N., Heinrich M.P., Handels H., Modersitzki J.
Memory Efficient LDDMM for Lung CT
In: 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016, Athen, Springer, 28-36, 2016
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
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Ottink F.A., Koehler G., Heinrich M.P.
Towards Effective Contrastive Pretraining for Medical Image Segmentation
In: Buzug T.M., Handels H., Hübner C., Klein S., Mertins A., Rostalski P. (eds.), Student Conference Proceedings 2021: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 287-290, 2021
Oktay O., Schuh A., Rajchl M., Keraudren K., Gomez A., Heinrich M.P., Penney G., Rueckert D.
Structured Decision Forests For Multi-modal Ultrasound Image Registration
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. 9350, 363-371, 2015
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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
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: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2019, 69-79, 2020

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