MIDL 2021

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

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H
Huttmann G., Wunderlich M., Koch P., Sudkamp H., Theisen-Kunde D., Kepp T., Handels H., von der Burchard C., Roider J.
Improved SELFF-OCT using motion correction and artifact detection
Investigative Ophthalmology & Visual Science, 62, 8, 2527, 2021
Hufnagel H., Pennec X., Ehrhardt J., Handels H., Ayache N.
Shape Analysis Using a Point-Based Statistical Shape Model Build on Correspondence Probabilites
In: 10th International Conference on Medical Image Computing and Computer-Assisted Intervention 2007, MICCAI 2007, Brisbane, Australia, Springer, Berlin, Part I, 959-967, 2007
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Hufnagel H., Pennec X., Malandin G., Handels H., Ayache N.
Non-linear 2D and 3D Registration Using Block-Matching and B-Splines
In: Meinzer H.-P., Handels H., Horsch A., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2005: Algorithmen - Systeme - Anwendungen, Hamburg, Informatik aktuell, Springer-Verlag, 325-329, 2005
Hufnagel H., Ehrhardt J., Pennec X., Ayache N., Handels H.
A Global Criterion for the Computation of Statistical Shape Model Parameters Based on Correspondence Probabilities
In: Tolxdorff T., Braun J., Deserno T.M., Handels H., Horsch A., Meinzer H.-P. (eds.), Bildverarbeitung für die Medizin 2008, Berlin, Informatik aktuell, Springer Verlag, 277-282, 2008
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Hufnagel H., Ehrhardt J., Pennec X., Ayache N., Handels H.
Application of a Probabilistic Statistical Shape Model to Automatic Segmentation
In: Dössel O., Schlegel W.C. (eds.), World Congress on Medical Physics and Biomedical Engineering, Munich, Germany , IFMBE Proceedings, Springer, Berlin Heidelberg, 25/4, 2181-2184, 2009
Hufnagel H., Ehrhardt J., Pennec X., Schmidt-Richberg A., Handels H.
Coupled Level Set Segmentation Using a Point-Based Statistical Shape Model Relying on Correspondence Probabilities
In: SPIE Medical Imaging 2010: Image Processing, San Diego, California, USA, SPIE, 7623, 762318-1-762318-8, 2010
Hufnagel H.
A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis
Buzug T.M. (ed.), Medizintechnik - Medizinische Bildgebung, Bildverarbeitung und bildgeführte Interventionen, Vieweg+Teubner Verlag, Wiesbaden, 2011
Hufnagel H., Pennec X., Ehrhardt J., Ayache N., Handels H.
Generation of a statistical shape model with probabilistic point correspondences and the expectation maximization- iterative closest point algorithm
International Journal of Computer Assisted Radiology and Surgery, 2, 5, 265-273, 2008
Hufnagel H., Ehrhardt J., Pennec X., Ayache N., Handels H.
Level Set Segmentation Using a Point-Based Statistical Shape Model Relying on Correspondence Probabilities
In: Workshop Probabilistic Models for Medical Image Analysis, PMMIA 09, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, London, United Kingdom, 34-44, 2009
Hufnagel H., Pennec X., Ehrhardt J., Handels H., Ayache N.
Point-Based Statistical Shape Models with Probabilistic Correspondences and Affine EM-ICP
In: Horsch A., Deserno T.M., Handels H., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2007, München, Informatik aktuell, Springer Verlag, 434-438, 2007
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Hufnagel H., Ehrhardt J., Pennec X., Ayache N., Handels H.
Comparison of Statistical Shape Models Built on Correspondence Probabilities and One-to-One Correspondences
In: Reinhardt J.M., Pluim P.W. (eds.), SPIE Medical Imaging 2008, Image Processing, San Diego, Vol. 6914, 4T1-4T9, 2008
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Hufnagel H., Pennec X., Ehrhardt J., Ayache N., Handels H.
Computation of a Probabilistic Statistical Shape Model in a Maximum-a-Posteriori Framework
Methods of Information in Medicine, 48, 4, 314-319, 2009
Hübner M., Schepers J., Ingenerf J.
Implementation Guide Rare Disease Documentation - Enabling of the FAIR Principles for Rare Diseases
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, 277-280, 2022
Huang X., Shirahama K., Li F., Grzegorzek M.
Sleep stage classification for child patients using DeConvolutional Neural Network
Artificial Intelligence in Medicine, 110, 101981, 2020
Hozhabr Pour H., Wegmeth L., Kordes A., Grzegorzek M., Wismüller R. (eds.)
Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach
11th International Conference on Computer Recognition Systems (CORES 2019), Springer, Polanica-Zdrój, Poland, 2019
Horsch A., Deserno T., Handels H., Meinzer H.-P., Tolxdorff T.
Editorial
International Journal of Computer Assisted Radiology and Surgery, 2, 5, 253-254, 2008
Horsch A., Deserno T.M., Handels H., Meinzer H.-P., Tolxdorff T. (eds.)
Bildverarbeitung für die Medizin 2007
BVM 2007, Springer Verlag, München, 2007
Horsch A., Deserno T., Handels H., Meinzer H.-P., Tolxdorff T.
IJCARS Special Issue: BVM 2007 German Conference on Medical Image Processing
International Journal of Computer Assisted Radiology and Surgery, 2008
Horsch A., Handels H.
Telematik im Gesundheitswesen
In: Lehmann T.M. (ed.), Handbuch Medizinische Informatik, München, 673-712, 2005
Hoffmann A., Dinser R., Linder R., Neufang K.F., Krone W.
Sacroiliitis, Hyperostosis Sternoclavicularis and Psoriasis Palmoplantaris in Monocygotic Twins
Arthritis and rheumatism, 42, 3, 574-6, 1999
Hoffmann R., Brodowski H., Steinhage A., Grzegorzek M.
Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks
Sensors, MDPI, 21, 4, 1086, 2021
Heusel S., Gisch S., Mersmann S., Ingenerf J.
Test Automation Framework for an HL7 integration engine
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 125-128, 2016
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
Hermes N., Hansen L., Bigalke A., Heinrich M.P.
Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation
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, 89-94, 2022
Hering A., Kuckertz S., Heldmann S., Heinrich M.P.
Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans
International Journal of Computer Assisted Radiology and Surgery, 14, 11, 1901-1912, 2019
Hering A., Kuckertz S., Heldmann S., Heinrich M.P.
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking
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, 309-314, 2019
Henselmeyer S., Grzegorzek M.
Short-term Load Forecasting with Discrete State Hidden Markov Models
Journal of Intelligent & Fuzzy Systems, 38, 2, 2273-2284, 2020
Henselmeyer S., Grzegorzek M.
Short-Term Load Forecasting Using an Attended Sequential Encoder-Stacked Decoder Model with Online Training
Applied Sciences, MDPI, 11, 2021
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
Hempe H., Heinrich M.P.
Abstract: 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, 19, 2022
Hellmers S., Kromke T., Dasenbrock L., Heinks A., Bauer J.M., Hein A., Fudickar S.
Stair Climb Power Measurements via Inertial Measurement Units - Towards an Unsupervised Assessment of Strength in Domestic Environments
In: Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, 39-47, 2018
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., Steen E.-E., Dasenbrock L., Heinks A., Bauer J.M., Fudickar S., Hein A.
Towards a minimized unsupervised technical assessment of physical performance in domestic environments
In: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare - PervasiveHealth '17, New York, New York, USA, ACM Press, 207-216, 2017
Abstract
Hellmers S., Fudickar S., Dasenbrock L., Heinks A., Bauer J.M., Hein A.
A Model-Based Approach for Jump Analyses Regarding Strength and Balance
In: Nathalia P., Silveira M., H. A.H., Carlos M., van den L B.E. (eds.), Biomedical Engineering Systems and Technologies, Cham, Springer International Publishing, 354-375, 2018
Abstract
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., Fudickar S., Dasenbrock L., Heinks A., Bauer J.M., Hein A.
Understanding Jump Landing as an Oscillating System: A Model-based Approach of Balance and Strength Analyses
In: Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, Porto, SCITEPRESS - Science and Technology Publications, 159-168, 2017
Abstract
Hellmers S., Fudickar S., Büse C., Dasenbrock L., Heinks A., Bauer J.M., Hein A.
Technology Supported Geriatric Assessment
In: Wichert R., Mand B. (eds.), Ambient Assisted Living: 9. AAL-Kongress, Frankfurt/M, Germany, April 20 - 21, 2016, Springer International Publishing, Cham, 85-100, 2017
Abstract
Hellmers S., Izadpanah B., Dasenbrock L., Diekmann R., Bauer J.M., Hein A., Fudickar S.
Towards an Automated Unsupervised Mobility Assessment for Older People Based on Inertial TUG Measurements
Sensors, 18, 10, 2018
Abstract
Hellmers S., Peng L., Lau S., Diekmann R., Elgert L., Bauer J.M., Hein A., Fudickar S.
Activity Scores of Older Adults based on Inertial Measurement Unit Data in Everyday Life
In: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF, Valetta (Malta), SCITEPRESS – Science and Technology Publications, Lda., 579-585, 2020
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
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
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., 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., 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., 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., 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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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., 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.
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

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