Publikationen | Institute of Medical Informatics

MIDL 2021

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

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Mastmeyer A., Fortmeier D., Maghsoudi E., Simon M., Handels H.
Patch-Based Label Fusion Using Local Confidence-Measures and Weak Segmentations
In: SPIE Medical Imaging 2013, Image Processing, Orlando, USA, 86691N-1--86691N-11, 2013

Wilms M., Handels H., Ehrhardt J.
Patch-Based Learning of Shape, Appearance, and Motion Models from Few Training Samples by Low-Rank Matrix Completion
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 215-216, 2017

Ehrhardt J., Wilms M., Handels H.
Patch-based Low-rank Matrix Completion for Learning of Shape and Motion Models from Few Training Samples
In: 14th European Conference on Computer Vision (ECCV) 2016, Amsterdam, Lecture Notes in Computer Science, 9908, 712-727, 2016

Werner R., Ehrhardt J., Schmidt R., Handels H.
Patient-Specific Finite Element Modeling of Respiratory Lung Motion Using 4D CT Image Data
Medical Physics, 36, 5, 1500, 2009

Stroth A., Fürschke A., Gerlach J., Barkhausen J., Bischof A., Fleitmann M., Soika K., Handels H.
Patientenindividuelle Optimierung der Kontrastmittelapplikation bei der CT Angiografie der Aorta
Fortschr Röntgenstr, 192, S 01, S28, 2020

Mastmeyer A.
Patientenspezifische Virtual-Reality-Simulationen, Ultraschallgestützte Nadelpunktionen in atmungsbewegten virtuellen Patienten
Handels H. (ed.), Research Series of the Institute of Medical Informatics, University of Lübeck, Infinite Science Publishing, Lübeck, 2018

Forkert N.D., Illies T., Pienning M., Fiehler J., Handels H., Säring D.
Perfusion Analysis in Cerebral Arteriovenous Malformations Combining pASL and TOF Image Sequences
International Journal of Computer Assisted Radiology and Surgery, 5, Supp. 1, 337-338, 2010

Rajput A.-M., Drenkhahn C.M.
Perspectives and Obstacles for Transforming Terminologies into FHIR CodeSystems Exemplified by Alpha-ID
Studies in Health Technology and Informatics, 281, 213-217, 2021

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

Andersen B., Kasparick M., Ulrich H., Schlichting S., Golatowski F., Timmermann D., Ingenerf J.
Point-of-Care Medical Devices and Systems Interoperability: A Mapping of ICE and FHIR
In: 2016 IEEE Conference on Standards for Communications and Networking (CSCN), Berlin, Germany, IEEE, 1-5, 2016

Delforouzi A., Tabatabaei S.A.H., Shirahama K., Grzegorzek M.
A Polar Model for Fast Object Tracking in 360-Degree Camera Images
Multimedia Tools and Applications, 78, 7, 9275-9297, 2019

Wilms M., Werner R., Yamamoto T., Handels H., Ehrhardt J.
Population-based Correspondence Models for Respiratory Motion Estimation in the Presence of Interfraction Motion Variations
In: Imaging and Computer Assistance in Radiation Therapy, ICART 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, 81-88, 2015

Mastmeyer A., Wilms M., Handels H.
Population-based Respiratory 4D Motion Atlas Construction and its Application for VR Simulations of Liver Punctures
In: Angelini E.D. (ed.), SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 1057417-1-1057417-7, 2018

Mastmeyer A., Wilms M., Handels H.
Populationsbasierte 4D Bewegungsatlanten für VR Simulationen
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, 200, 2018

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

Ingenerf J.
Positionen zur Einführung von SNOMED-CT und zu statistischen Klassifikationen (als Auslaufmodell?).
In: 49. Jahrestagung der GMDS, Innsbruck, Informatik, Biometrie und Epidemiologie in Medizin und Biologie, 35 (4), 3Seiten, 2004

Ingenerf J., Schoppen M.
Positionspapier zur “Systemmatized Nomenclature of Medicine Clinical Terms“ (SNOMED CT) in Deutschland
GMDS-Projektgruppe STM (Standardisierte Terminologien der Medizin), verbreitet über diverse Verteiler in Politik, Industrie etc., 2006

Kock-Schoppenhauer A.-K., Hartung L., Ulrich H., Duhm-Harbeck P., Ingenerf J.
Practical Extension of Provenance to Healthcare Data Based on the W3C PROV Standard
Studies in health technology and informatics, 253, 28-32, 2018

Linder R., Falk H., Ingenerf J., Pöppl S.J.
Präoperative Planung von Primär- und Revisions-TEP-Operationen
In: 46. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Köln, Informatik, Biometrie und Epidemiologie, 32, 218, 2001

Handels H., Peimann C.J., Schmücker P. (eds.)
Praxis der Informationsverarbeitung in Krankenhaus und Versorgungsnetzen
KIS 2005, Books on Demand, Norderstedt, Hamburg, 2005

Linder R., Mohamed E., Maiolo C., Pöppl S.J., De Lorenzo A.
Predicting Intracellular Water Compartment for Healthy Italiens Using Artificial Neural Network Analysis
In: Sixth International Symposium “In Vivo Body Composition Studies”, Rome, Italy, Acta Diabetologica, 39, 137, 2002

Mohamed E.I., Maiolo C., Linder R., Pöppl S.J., De Lorenzo A.
Predicting the Intracellular Water Compartment using Artificial Neural Network Analysis
Acta diabetologica, 40 Suppl 1, S15-8, 2003

Mohamed E.I., Linder R., Perriello G., Di Daniele N., Pöppl S.J., De Lorenzo A.
Predicting Type 2 Diabetes Using an Electronic Nose-based Artificial Neural Network Analysis
Diabetes, nutrition & metabolism, 15, 4, 215-21, 2002

Ehrhardt J., Werner R., Schmidt-Richberg A., Handels H.
Prediction of Respiratory Motion Using A Statistical 4D Mean Motion Model
In: The Second International Workshop on Pulmonary Image Analysis, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, London, United Kingdom, http://www.ncbi.nlm.nih.gov/pubmed/20876013?dopt=Abstract, 3-14, 2009

Arizpe-Gomez P., Harms K., Fudickar S., Janitzky K., Witt K., Hein A.
Preliminary Viability Test of a 3-D-Consumer-Camera-Based System for Automatic Gait Feature Detection in People with and without Parkinson's Disease
In: Proceedings of IEEE International Conference on Healthcare Informatics (ICHI), Oldenburg, Germany, IEEE, 1-7, 2020

Ehrhardt J., Handels H., Peters P., Plötz W., Pöppl S.J.
Preoperative Planning and Simulation of Pelvic and Hip Endoprostheses using Virtual Three-Dimensional Models
In: 4th International Symposium on Computer Assisted Orthopaedic Surgery, CAOS 99, Davos, 1999

Linder R., Hoffmann A., Brunner R.
Prevalence of the Spondyloarthropathies in Patients with Uveitis
J Rheumatol, 31(11), 4Seiten, 2004

Krüger J., Ehrhardt J., Handels H.
Probabilistic Appearance Models for Medical Image Analysis
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, 37-38, 2018

Krüger J., Ehrhardt J., Handels H.
Probabilistic Appearance Models for Segmentation and Classification
In: International Conference on Computer Vision - ICCV 2015, Santiago de Chile, Chile, 1698-1706, 2015

Krüger J., Ehrhardt J., Schultz S., Handels H.
A Probabilistic Approach for the Registration of Images with Missing Correspondences
In: SPIE 10949, Medical Imaging 2019: Image Processing, San Diego, USA, 10949, 1094925-1-10949251-8, 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

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

Krüger J., Ehrhardt J., Handels H.
Probabilistic Shape and Appearance Models without One-to-One Correspondences
In: 1st Symposium on Statistical Shape Models and Applications, Shape 2014, Delemont, Switzerland, Proceedings, 22, 2014

Hahn C., Handels H., Nitschke M., Melchert U., Pöppl S.J.
Probabilistische Relaxation zur Segmentierung aktivierter Hirnregionen in fMRT-Daten
In: Paulus E., Wahl F.M. (eds.), Mustererkennung 1997, 19. DAGM-Symposium, Informatik aktuell, Springer, Berlin, 323-330, 1997

Buzug T.M., Ehrhardt J., Handels H., Ingenerf J., et al (eds.)
Proceedings, Student Conference 2013, Medical Engineering Science
Grin Verlag, Lübeck, 2013

Buzug T.M., Birngruber R., Botterweck H., Brinkmann R., Gehring H., Handels H., Hellbrück H., Hübner C., Hüttmann G., Klein S. et al. (eds.)
Proceedings, Student Conference 2014, Medical Engineering Science
Grin Verlag, Lübeck, 2014

Buzug T.M., Birngruber R., Brinkmann R., Gehring H., Gutsmann T., Handels H., Heinrich M.P., Hellbrück H., Hübner C., Hüttmann G. et al. (eds.)
Proceedings, Student Conference 2015, Medical Engineering Science
Infinite Science Publishing, Lübeck, 2015

Zell F., Heinrich M.P.
Propagation of landmarks with a registration graph
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 209-212, 2017

Andersen B., Kock A.-K., Wrage J.-H., Ingenerf J.
Propagation of Patient Data from IT Systems to Medical Devices
In: Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, Chicago, USA, 2014

Ulrich H., Uzunova H., Handels H., Ingenerf J.
Proposal of Semantic Annotation for German Metadata Using Bidirectional Recurrent Neural Networks.
Studies in health technology and informatics, 294, 357-361, 2022

Wiedekopf J., Drenkhahn C.M., Ulrich H., Kock-Schoppenhauer A.-K., Ingenerf J.
Providing ART-DECOR ValueSets via FHIR Terminology Servers – A Technical Report
Studies in Health Technology and Informatics, 283, 127-135, 2021

Simon F., Kock-Schoppenhauer A.-K., Ulrich H., Oberländer M., Maushagen R., Flügge F., Ingenerf J.
Provision of sensitive clinical and biobank data for research in compliance with data protection regulations
In: Buzug T.M., Handels H., Hübner C., Klein S., Mertins A., Rostalski P. (eds.), Student Conference Proceedings 2021: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 133-136, 2021

Linder R., Pöppl S.J., Schönweiler R.
Psychoakustische Skalierung akustischer Heiserkeitsparameter einschließlich GNE mittels Künstlicher Neuronaler Netze
In: Gross M. (ed.), Aktuelle phoniatrisch-pädaudiologische Aspekte 2002/2003, Median-Verlag, Heidelberg, 85-89, 2002

Kramer E., Schönweiler R., Linder R.
Psychoakustische Skalierung elektroakustischer Heiserkeitsparameter
Gross M., Kruse E. (eds.), Aktuelle phoniatrisch-pädauiologische Aspekte 2007/2008, Median-Verlang, Heidelberg, 2007

Schmidt-Richberg A., Ehrhardt J., Wilms M., Werner R., Handels H.
Pulmonary Lobe Segmentation with Level Sets
In: Image Processing, SPIE Medical Imaging 2012, San Diego, California, USA, SPIE, 8314, 83142V1-83142V8, 2012

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