MIDL 2021

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

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Handels H.
Medizinische Bildverarbeitung und Mustererkennung - Neue Perspektiven für die bildgestützte Diagnostik und Therapie
In: Fischer S., Maehle E., Reischuk R. (eds.), Informatik 2009 - Im Fokus das Leben, Lübeck, Lecture Notes in Informatics, GI, Vol. P-154, 111-113, 2009
Handels H., Färber M.
Fortgeschrittene Methoden der Medizinischen Bildverarbeitung
Lehrbrief für das Fernstudium Medizinische Physik, Zentrum für Fernstudien und Universitäre Weiterbildung, TU Kaiserslautern, 2010
Handels H., Horsch H., Lehmann T., Meinzer H.P. (eds.)
Bildverarbeitung für die Medizin 2001
Bildverarbeitung für die Medizin 2001, Springer Verlag, Berlin, Lübeck, 2001
Handels H., Werner R., Ehrhardt J.
Modeling and Analysis of Lung Motion Based on Spatio-Temporal CT Image Data
In: 11th Joint Korea-Germany Workshop on Advanced Medical Image Processing, Incheon, Korea, 2008
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
Hansen L., Diesel J., Heinrich M.P.
Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room
In: Handels H., Deserno T.M., Maier A., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 178-183, 2019
Hansen L., Blendowski M., Heinrich M.P.
Defence of Mathematical Models for Deep Learning based Registration
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, 32, 2020
Hansen L., Heinrich M.P.
Sparse Structured Prediction for Semantic Edge Detection in Medical Images
In: International Conference on Medical Imaging with Deep Learning, PMLR, 102, 250-259, 2019
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
Hecht T., Mastmeyer A., Fortmeier D., Handels H.
4D-Planung von Leberpunktionen unter Berücksichtigung der Atembewegung
In: Handels H., Ingenerf J. (eds.), 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Lübeck, Abstractband GMDS 2013, ID193:336-337, 2013
Hecht T., Mastmeyer A., Fortmeier D., Handels H.
4D-Planung von Nadelpfaden für Punktionseingriffe mit der Ray-Casting-Methode
In: Meinzer H.-P., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin, BVM 2013, Heidelberg, Informatik aktuell, Springer Verlag, Berlin, 9-14, 2013
PDF
Heiland M., Petersik A., Pflesser B., Tiede U., Schmelzle R., Höhne K.-H., Handels H.
Realistic Haptic Interaction for Computer Simulation of Dental Surgery
In: CARS 2004 - Computer Assisted Radiology and Surgery, International Congress Series, 1268, 1226-1229, 2004
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., Jenkinson M., Papiez B.W., Brady S.M., Schnabel J.A.
Towards realtime multimodal fusion for image-guided interventions using self-similarities.
Medical image computing and computer-assisted intervention : MICCAI 2013 International Conference on Medical Image Computing and Computer-Assisted Intervention, 16, Pt 1, 187-94, 2013
Abstract
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
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., 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., 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., 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., 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., 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., 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.
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., 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., 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., 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., 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
Heiß A., Werner R., Ehrhardt J., Raspe M., Müller S., Handels H.
Analyse und Quantifizierung regionaler Lungenbewegungen in 4D-Bilddaten
In: 54. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds). Düsseldorf: German Medical Science GMS Publishing House, 2009
Hellmers S., Fudickar S., Lange E., Lins C., Hein A.
Validation of a motion capture suit for clinical gait analysis
In: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare - PervasiveHealth '17, New York, New York, USA, ACM Press, 120-126, 2017
Abstract

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