MIDL 2021

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

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Handels H., Ross T., Kreusch J., Wolff H.H., Pöppl S.J.
Computer-Supported Diagnosis of Melanoma in Profilometry
Methods of information in medicine, 38, 1, 43-9, 1999
Abstract
Handels H., Ehrhardt J., Plötz W., Pöppl S.J.
An Orthopaedic Atlas for the 3D Operation Planning and the Virtual Construction of Endoprostheses in Computer Assisted Orthopaedic Surgery
In: Lemke H.U., Vannier M.W., Inamura K., Farman A.G., Doi K. (eds.), Computer Assisted Radiology and Surgery, CARS 2001, Berlin, Elsevier, 312-317, 2001
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., Ehrhardt J., Peters P., Plötz W., Pöppl S.J.
Computer-Assisted Planning of Hip Operations and Design of Endoprotheses using Virtual Three-Dimensional Models
In: Lemke H.U., Vannier M.W., Inamura K., Farman A.G. (eds.), Computer Assisted Radiology and Surgery, CARS 99, Paris, Elsevier Science B.V., 726-730, 1999
Handels H., Rinast E., Busch C., Hahn C., Kühn V., Miehe J., Roßmanith C., Seibert F., Will A.
Image Transfer and Computer-Supported Cooperative Diagnosis
Journal of telemedicine and telecare, 3, 2, 103-7, 1997
Abstract
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., Ehrhardt J., Plötz W., Pöppl S.J.
Simulation of Hip Operations and Design of Custom-made Endoprostheses using Virtual Reality Techniques
Methods of information in medicine, 40, 2, 74-7, 2001
Abstract
Handels H., Werner R., Frenzel T., Säring D., Lu W., Low D., Ehrhardt J.
Generation of 4D CT Image Data and Analysis of Lung Tumour Mobility During the Breathing Cycle
Studies in health technology and informatics, 124, 977-82, 2006
Abstract
Handels H., Hahn C., Miehe J., Will A., Bernades P., Busch C., Kühn V., Rinast E., Putzar H., Rösler K.
Computer Supported Cooperative Work and Image Analysis in Teleradiology
In: Lemke H., Inamura K., Jaffe C.C., Vannier M.W. (eds.), Computer Assisted Radiology, CAR '95, Berlin, Springer Verlag, 754-758, 1995
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
Handels H., Ingenerf J. (eds.)
Abstractband GMDS 2013: 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS)
GMDS 2013, Pro Business, Berlin, Lübeck, 2013
Hansen L., Siebert M., Diesel J., Heinrich M.P.
Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room
International Journal of Computer Assisted Radiology and Surgery, 14, 11, 1871-1879, 2019
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., Heinrich M.P.
Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg challenge
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, 125-126, 2021
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., Hansen L.
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Mover’s discrepancies
In: International Conference on Medical Imaging with Deep Learning, 2020
Heinrich M.P., Jenkinson M., Brady M., Schnabel J.A.
MRF-based deformable registration and ventilation estimation of lung CT.
IEEE transactions on medical imaging, 32, 7, 1239-48, 2013
Abstract
Heinrich M.P., Oktay O., Bouteldja N.
OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions
Medical Image Analysis, 54, 1-9, 2019
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., Simpson I.J.A., Papież B.W., Brady S.M., Schnabel J.A.
Deformable Image Registration by Combining Uncertainty Estimates from Supervoxel Belief Propagation
Medical Image Analysis, 27, 57-71, 2016
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., Oktay O., Bouteldja N.
OBELISK – One Kernel to Solve Nearly Everything:Unified 3D Binary Convolutions for Image Analysis
In: Conference on Medical Imaging with Deep Learning (MIDL 2018), 2018
Heinrich M.P., Blendowski M., Oktay O.
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions
International Journal of Computer Assisted Radiology and Surgery, 13, 9, 1311-1320, 2018
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., Jenkinson M., Papiez B.W., Glesson F.V., Brady S.M., Schnabel J.A.
Edge- and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes.
Information processing in medical imaging, 23, 463-74, 2013
Abstract
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., Jenkinson M., Bhushan M., Matin T., Gleeson F.V., Brady S.M., Schnabel J.A.
MIND: modality independent neighbourhood descriptor for multi-modal deformable registration.
Medical image analysis, 16, 7, 1423-35, 2012
Abstract
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., Lau S., Elgert L., Diekmann R., Bauer J.M., Hein A.
Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs
Sensors, 19, 6, 1370, 2019
Abstract
Hellmers S., Lau S., Diekmann R., Dasenbrock L., Kromke T., Bauer J.M., Fudickar S., Hein A.
Evaluation of Power-Based Stair Climb Performance via Inertial Measurement Units
In: Cliquet Jr. A., Wiebe S., Anderson P., Saggio G., Zwiggelaar R., Gamboa H., Fred A., i Badia S. (eds.), Biomedical Engineering Systems and Technologies, Cham, Springer International Publishing, 238-261, 2019
Abstract
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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