MIDL 2021

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

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H
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
Heinrich M.P., Jenkinson M., Bhushan M., Matin T., Gleeson F.V., Brady M.J., Schnabel J.A.
Non-local shape descriptor: a new similarity metric for deformable multi-modal registration.
Medical image computing and computer-assisted intervention : MICCAI 2011 International Conference on Medical Image Computing and Computer-Assisted Intervention, 14, Pt 2, 541-8, 2011
Abstract
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
Heinrich M.P.
Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Cham, LNCS, Springer, 11769, 50-58, 2019
Heinrich M.P., Jenkinson M., Jenkinson M., Schnabel J.A.
Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling.
Medical image computing and computer-assisted intervention : MICCAI 2012 International Conference on Medical Image Computing and Computer-Assisted Intervention, 15, Pt 3, 115-22, 2012
Abstract
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
Heinrich M.P., Papiez B.W., Schnabel J., Handels H.
Non-Parametric Discrete Registration with Convex Optimisation
In: Ourselin S., Modat M. (eds.), Biomedical Image Registration, WBIR 2014, London, Springer, Berlin, LNCS 8545, 51-61, 2014
Heinrich M.P., Handels H., Simpson I.
Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields
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, 338-345, 2015
PDF
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
PDF
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
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
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
Heinrich M.P., Oktay O.
Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion
In: International Workshop on Computational Methods and Clinical Applications for Spine Imaging, Springer, Cham, 77-84, 2016
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
Heinrich M.P., Oktay O.
BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions
In: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Cham, 329-337, 2017
PDF
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
Hempe H., Yilmaz E.B., Meyer C., Heinrich M.P.
Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab
In: Proc. SPIE 12032, Medical Imaging 2022: Image Processing, San Diego, United States, SPIE, 17, 2022
Herrmann S., Schneider D., Mrongowius J., Heinrich M.P.
Aortic Detection in Image Sequences of Electrical Impedance Tomography
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, 335-338, 2020
J
Jagtap A.D., Himstedt M., Heinrich M.P.
Automatic Generation of Synthetic Data for Domain Randomization and Adaptation
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, 137-140, 2022
K
Kannath Kalam S., Weihsbach C., Heinrich M.P.
Revisiting the Iterative Image Registration Technique deeds in terms of Speed Performance
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, 467-470, 2022
Keuth R., Bigalke A., Heinrich M.P.
Pose-Based Control in Real-World Robotic Application
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, 315-318, 2022
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
Koser N.C., Hempe H., Heinrich M.P.
Analysis of the impact of super-resolution on medical CT-Scans for classification and segmentation
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, 235-238, 2022
Krooß J., Brendel B., Köhler T., Heinrich M.P.
Denoising spectral CT images using parallel level sets
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 207-210, 2016
L
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
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
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
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
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
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

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