MIDL 2021

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

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Heinrich M.P., Oktay O.
Exploring Sparsity in CNNs for Medical Image Segmentation BRIEFnet
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, 40-41, 2018
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Gillner M.L., Hansen L., Heinrich M.P.
Fast Pulmonary Fissure Detection in CT Scans using Deep Learning on Point Clouds
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, 201-204, 2020
Chenzhang L., Heinrich M.P.
FlowNet application for 3D image registration
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, 291-294, 2021
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
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H
Heinrich M.P., Hansen L.
Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Cham, Springer, 12263, 190-200, 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
I
Heinrich M.P., Papież B.W.
Image registration with sliding motion
In: Handbook of Medical Image Computing and Computer Assisted Intervention, The Elsevier and MICCAI Society Book Series, 293-318, 2020
Benecke S., Frischke M., Diesel J., Heinrich M.P.
Improvement of Machine Learning Algorithms for Object Detection
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, 325-328, 2021
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
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
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Blendowski M., Heinrich M.P.
Kombination binärer Kontextfeatures mit Vantage Point Forests zur Multi-Organ-Segmentierung
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, 24-24, 2017
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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
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
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
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
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
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
M
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
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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Ha I.Y., Wilms M., Heinrich M.P.
Model-based Respiratory Motion Compensation in MRI-guided Radiotherapy
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 239-242, 2016
Kondeti R.R., Himstedt M., Heinrich M.P.
Monocular Depth Estimation for Bronchoscopic Navigation
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, 471-474, 2022
Heinrich M.P., Oster J.
MRI Whole Heart Segmentation using Discrete Nonlinear Registration and Fast Non-Local Fusion
In: International Workshop on Statistical Atlases and Computational Modeling of the Heart, Springer, Cham, 233-241, 2017
Degen J., Heinrich M.P.
Multi-Atlas Based Pseudo-CT Synthesis using Multimodal Image Registration and Local Atlas Fusion Strategies
In: Workshop on Biomedical Image Registration (WBIR) 2016 (CVPR Workshop), Las Vegas, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 160-168, 2016
PDF
Heinrich M.P., Wilms M., Handels H.
Multi-Atlas Segmentation using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression
In: MICCAI Workshop on Patch-based Techniques in Medical Imaging, Patch-MI 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, Lecture Notes in Computer Science, LNCS Vol. 9467, 146-153, 2015
Hansen L., Diesel J., Heinrich M.P.
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds
In: Computer Vision – ECCV 2018 Workshops, Cham, Lecture Notes in Computer Science, Springer, 11131, 4413, 456-469, 2019
Heinrich M.P., Maier O., Handels H.
Multi-modal Multi-Atlas Segmentation using Discrete Optimisation and Self-Similarities
In: VISCERAL Anatomy3 Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging - ISBI 2015, Procceedings, VISCERAL@ISBI 2015, CEUR-WS.org, 2015
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Ha I.Y., Wilms M., Heinrich M.P.
Multi-object segmentation in chest X-ray using cascaded regression ferns
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, 254-259, 2017
Heinrich M.P., Blendowski M.
Multi-Organ Segmentation using Vantage Point Forests and Binary Context Features
In: 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016, Athen, Springer, 598-606, 2016
PDF
Lucas C., Kemmling A., Madany Mamlouk A., Heinrich M.P.
Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images
In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, IEEE, 1118-1121, 2018
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
Heinrich M.P., Papiez B.W., Schnabel J., Handels H.
Multispectral Image Registration Based on Local Canonical Correlation Analysis
In: Golland P., Hata N., Barillot C., Hornegger J., Howe R. (eds.), 17th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, Boston, Springer, Berlin, Part I, LNCS 8673, 202-209, 2014
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

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