Publikationen | Institute of Medical Informatics

MIDL 2021

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

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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., 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

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., 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

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., 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

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., 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

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

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., 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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