Publikationen | Institute of Medical Informatics

MIDL 2021

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

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Müller F., Neffin R., Krug M., Handels H.
Dynamic Positioning of an OCT-Scanbeam using 3D Object-Tracking in Stereo Microscope Images
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, 263-266, 2021

Werner R., Gauer T., Schmidt R., Handels H.
Dosimetrische Effekte atmungsbedingter Bewegungen auf die intensitätsmodulierte Strahlentherapie
In: 14. Jahreskongress der Deutschen Gesellschaft für Radioonkologie und 25. Jahrestagung der Österreichischen Gesellschaft für Radioonkologie, Radiobiologie und Medizinische Strahlenphysik, Wien, Strahlenther Onkol, 184 (Sondernr 1), 5, 2008

Seehase A., Grohmann C., Werner R., Todorovic M., Petersen C., Cremers F.
Dosimetric Evaluations of 2D Tumor Motion in Respiratory Gated IMRT
In: ESTRO 29, Barcelona, Radiotherapy & Oncology, 96 (Supplement 1), S552, 2010

Werner R., Ehrhardt J., Schmidt-Richberg A., Bodmann B., Cremers F., Handels H.
Dose Accumulation Based on Optimized Motion Field Estimation Using Non-Linear Registration in Thoracic 4D CT Image Data
In: Dössel O., Schlegel W.C. (eds.), World Congress on Medical Physics and Biomedical Engineering, Munich, Germany, IFBME Proceedings, Springer Verlag, Berlin, 25/IV, 950-953, 2009

Ingenerf J., Gerdsen F., Seik B., Pöppl S.J., Schreiber R., Heinemeier A.-K., Köppe K., et al
Dokumentation, Kalkulation und Prozessanalyse im DRG-Zeitalter
GMS Med Inform Biom Epidemiol, 1 (1), 2005

Linder R., Ingenerf J., Pöppl S.J.
Dokumentation und Kommunikation im Gesundheitswesen: eine Einführung
E-Learning Modul im Vertiefungsbereich "Natur und Technik" des Diplomstudiengangs „Gesundheitswissenschaften“ der University of Applied Sciences sowie im Verbundprojekt „Hochschulen für Gesundheit“, University of Applied Sciences, Hamburg, 2003

Balke W.T., Handels H., Katlet I., Kimura M., Kulikowski C.A., Moura L.A., Pommert A., Schulz S.
Discussion of "Spatial-Symbolic Query Engine in Anatomy"
Methods of Information in Medicine, 6, 479-488, 2012

Schmidt-Richberg A., Ehrhardt J., Werner R., Handels H.
Direction-Dependent Regularization for Improved Estimation of Liver and Lung Motion in 4D Image Data
In: SPIE Medical Imaging 2010: Image Processing, San Diego, California, USA, SPIE, 7623, 76232Y1-76232Y8, 2010

Forkert N.D., Säring D., Illies T., Fiehler J., Ehrhardt J., Handels H., Schmidt-Richberg A.
Direction-Dependent Level Set Segmentation of Cerebrovascular Structures
In: Image Processing, SPIE Medical Imaging 2011, Lake Buena Vista, Florida, USA, SPIE, 7962, 79623S1-79623S8, 2011

Fortmeier D., Wilms M., Mastmeyer A., Handels H.
Direct Visuo-Haptic 4D Volume Rendering Using Respiratory Motion Models
IEEE Transactions on Haptics, 8, 4, 371-383, 2015

Mastmeyer A., Fortmeier D., Handels H.
Direct Haptic Volume Rendering in Lumbar Puncture Simulation
In: MMVR 2012, Stud Health Technol Inform, 173, IOS Press, 280-286, 2012

Degen J., Modersitzki J., Heinrich M.P.
Dimensionality reduction of multidimensional image descriptors for medical Image registration
In: Buzug T.M., Birngruber R., Brinkmann R., Gehring H., Gutsmann T., Handels H., Heinrich M.P., et al (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 207-210, 2015

Degen J., Modersitzki J., Heinrich M.P.
Dimensionality Reduction of Medical Image Descriptors for Multimodal Image Registration
Current Directions in Biomedical Engineering, 1, 1, 201-205, 2015

Kreusch J., Busche H., Connemann B.J., Roß T., Handels H., Wolff H.H.
Differentiation between Nevocellular Nevi and Malignant Melanoma by Skin Surface Parameters
In: Wilhelm K.P., Elsner P., Beradesca E., Maibach H. (eds.), Bioengineering of the Skin: Skin Surface Imaging and Analysis, CRC Press, Boca Raton, 289-300, 1997

Werner R., Wilms M., Ehrhardt J., Schmidt-Richberg A., Blendowski M., Handels H.
A Diffeomorphic MLR Framework for Surrogate-Based Motion Estimation and Situation-Adapted Dose Accumulation
In: Birkfellner W., Mcclelland J., Rit S., Schlaefer A. (eds.), MICCAI Workshop on Image-Guidance and Multimodal Dose Planning in Radiation Therapy, MICCAI 2012, Nizza, Frankreich, 42-49, 2012

Werner R., Ehrhardt J., Schmidt-Richberg A., Wilms M., Blendowski M., Handels H.
A Diffeomorphic Framework for Surrogate-based Motion Estimation in Radiation Therapy: Concept and First Evaluation
In: Goltz U., Magnor M., Matthies H., Balke W.T., Wolf L. (eds.), Informatik 2012, Lecture Notes in Informatics, Braunschweig, 1774-1782, 2012

Schmidt-Richberg A., Ehrhardt J., Werner R., Handels H.
Diffeomorphic Diffusion Registration of Lung CT Images
In: MICCAI 2010, Bejing, China, Medical Image Analysis for the Clinic - A Grand Challenge, EMPIRE10 - Evaluation of Methods for Pulmonary Image Registration 2010, Workshop Proceedings from the13th International Conference on Medical Image Computing and Computer-Assisted Intervention, 2010

Ingenerf J.
Die Referenzterminologie SNOMED CT: Hinweis auf das Positionspapier der GMDS-Projektgruppe „Standardisierte Terminologien in der Medizin (STM)“
Forum der Medizin-Dokumentation und Medizin-Informatik, 138-139, 2006

Ingenerf J.
Die Referenzterminologie SNOMED CT – von theoretischen Betrachtungen bis zur praktischen Implemtierung
MMI-Verlag, Neu Isenburg, 2007

Sagbas E., Ingenerf J., Kulbe K., Pöppl S.J.
Die Nutzung des Terminologiesystems UMLS in der Lernplattform "medin"
In: Pöppl S.J., Bernauer J., Fischer M., Handels H., Klar R., Leven J., Puppe F., Spitzer K. (eds.), 8. Workshop der GMDS-AG "Computergestützte Lehr- und Lernsysteme in der Medizin, Lübeck, Shaker, 69-75, 2004

Bouchard R., Woltmann A., Staubach K.-H., Benecke P., Müller G., Linder R., Kujath P., Bruch H.-P.
Die Mortalität von alten Menschen nach hüftgelenksnahen Femurfrakturen. Ein Vergleich der Zeiträume zwischen 1986 bis 1991 und 1992 bis 1997
Unfallchirurgie, 25, 3-4, 119-132, 1999

Ingenerf J.
Die Bedeutung kontrollierter Vokabulare für Fachabteilungslösungen
In: Schmücker P., Elsässer K.-H. (eds.), KIS 2007 – Praxis der Informationsverarbeitung in Krankenhaus und Versorgungsnetzen, Tagungsband, 105-112, 2007

Schoech W., Hatje H., Ingenerf J.
DICOM Structured Reporting in der Pathologie
In: 53. GMDS-Jahrestagung, Stuttgart, GMS-Journal, 2008

Ingenerf J., Mulder-Rathgeber A., Graubner B.
Diagnosen- und Prozedurendokumentation für Zwecke von DRGs, Qualitätsmanagement und Gesundheitstelematik
In: Handels H., Peimann C.-J., Schmücker P. (eds.), Praxis der Informationsverarbeitung in Krankenhaus und Versorgungsnetzen, KIS-Jahrestagung, Hamburg, Books on Demand, Norderstedt , 103-112, 2005

Rehmann D., Meinke G., Ingenerf J.
Device Metric processing with FHIR – from device observation report to device metrics bundle –
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 133-136, 2016

Volkening N., Unni A., Becker S., Rieger J.W., Fudickar S., Hein A.
Development of a Mobile Functional Near-infrared Spectroscopy Prototype and its Initial Evaluation: Lessons Learned
In: Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference on - PETRA '18, ACM Press, 214-221, 2018

Volkening N., Unni A., Rieger J.W., Fudickar S., Hein A.
Development of a Mobile Functional Near-Infrared Spectroscopy Prototype
In: Skulimowski A.M.J., Sheng Z., Khemiri-Kallel S., Cérin C., Hsu C.-H. (eds.), Internet of Vehicles. Technologies and Services Towards Smart City, Cham, Springer International Publishing, 146-161, 2018

Beitz N., Heller M., Kadi H., Ingenerf J.
Development of a HL7 FHIR based interface to connect a Healthcare Content Management system to a mobile device
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2019, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 297-300, 2019

Bartram L., Dedersen B., Heinrich M.P.
Development of a Deep Learning based classification of respirator masks for a mobile application
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, 193-196, 2020

Steinberg C., Moltz J.H., Geisler B., Handels H.
Development and Evaluation of a Tool for the Generation of Probabilistic Expert Segmentations
In: Buzug T.M., Buzug T.M., Handels H., Ingenerf J., et al (eds.), Student Conference 2013, Medical Engineering Science, Lübeck, Grin Verlag, 7-10, 2013

Strenge P., Kyme A., Handels H.
Developing a Calibrated Setup to Investigate markerless Multi-View Reconstruction of Freely Moving Rodents
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 149-160, 2017

Lins C., Klausen A., Fudickar S., Hellmers S., Lipprandt M., Röhrig R., Hein A.
Determining Cardiopulmonary Resuscitation Parameters with Differential Evolution Optimization of Sinusoidal Curves
In: Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Funchal - Madeira, Portugal, SCITEPRESS - Science and Technology Publications, 665-670, 2018

Steppke K., Kunath A., Grüner F., Ingenerf J., Handels H.
Determination of action forces applied by users – To make a medical device more reliable –
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 99-102, 2016

Khan M.H., Schneider M., Farid M.S., Grzegorzek M.
Detection of Infantile Movement Disorders in Video Data Using Deformable Part-Based Model.
Sensors (Basel, Switzerland), 18, 10, 2018

Klein D., Witt O., Grzegorzek M.
Detection of glycemic abnormalities based on continuous glucose measurements
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, 155-158, 2021

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

Walter J., Liebenow L., Hoffmann R., Grzegorzek M.
Detecting behavioral changes of an individual using a Random Forest classifier on floor sensor data
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, 203-206, 2022

Prokosch H.-U., Mate S., Christoph J., Beck A., Köpcke F., Stephan S., Beckmann M., Rau T., Hartmann A., Wullich B. et al.
Designing and Implementing a Biobanking IT Framework for Multiple Research Scenarios
In: MIE 2012, Stud Health Technol Inform. 2012, Pisa, 180, 559-63, 2012

Kock A.-K., Kaya R., Müller C., Andersen B., Langer T., Ingenerf J.
Design, Implementation, and Evaluation of a Mobile Application for Patient Empowerment and Management of Long-Term Follow-Up after Childhood Cancer.
Klinische Padiatrie, 227, 3, 166-170, 2015

Grohmann C., Werner R., Mackens-Kiani T., Frenzel T., Cremers F.
Design of a 4D Quality Assurance Motion Phantom
In: ESTRO 31, Barcelona, Radiotherapy & Oncology, 103, S314-S315, 2012

Wiedekopf J., Ulrich H., Essenwanger A., Kiel A., Kock-Schoppenhauer A.-K., Ingenerf J.
Desiderata for a Synthetic Clinical Data Generator - Requirements from an International Perspective
Studies in Health Technology and Informatics, 281, 68-72, 2021

Pommerening K., Deserno T.M., Ingenerf J., Lenz R., Schmücker P.
Der Impact der Medizinischen Informatik
Informatik-Spektrum, 38, 5, 347-369, 2015

Linder R., Theegarten D., Mayer S., Anhenn O., Ebsen M., Schwarze J., Neesen J., Sudhoff H., Pöppl S.J., Wagner M.
Der Einsatz eines Modifizierten Causal Index erleichtert die Interpretation des Antwortverhaltens eines mit Daten einer Whole-Body Plethysmographie an einem Knock Out Mausmodell trainierten Artifiziellen Neuronalen Netzwerks (ANN)
Atemw.-Lungenkrkh., 29(7), 340-343, 2003

Keuth R., Hansen L., Heinrich M.P.
Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung
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, 294-300, 2020

Reimer N., Busch H., Ingenerf J.
Deploying a molecular tumor board on an open platform
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, 139-142, 2020

Krooß J., Brendel B., Köhler T., Heinrich M.P.
Denoising spectral CT images using parallel level sets
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 207-210, 2016

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

Andersen B., Kasparick M., Baumhof S., Golatowski F., Ingenerf J.
Definition and Validation of Surgical Device Specialisations for a Service-Oriented Medical Device Architecture
In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, USA, 2016

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

Fleitmann M., Uzunova H., Stroth A.M., Gerlach J., Fürschke A., Barkhausen J., Bischof A., Handels H.
Deep-Learning-based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization
In: International Conference on Wireless Mobile Communication and Healthcare, Springer, Cham, 315-322, 2021

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