Publikationen | Institute of Medical Informatics

MIDL 2021

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

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2022

Andresen J., Kepp T., Ehrhardt J., von der Burchard C., Roider J., Handels H.
Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies
International Journal of Computer Assisted Radiology and Surgery, 2022

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

2021

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

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

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

Maqsood A., Farid M.S., Khan M.H., Grzegorzek M.
Deep Malaria Parasite Detection in Thin Blood Smear Microscopic Images
Applied Sciences, MDPI, 114, 5, 2284, 2021

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

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

Zhibin X., Heinrich M.P.
Deep learning-based image registration for voxel-based morphometry
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, 275-278, 2021

2020

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

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

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

Li F., Shirahama K., Nisar M.A., Huang X., Grzegorzek M.
Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification
Sensors, 20, 15, 4271, 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

Siebert H., Heinrich M.P.
Deep Groupwise Registration of MRI Using Deforming Autoencoders
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, 236-241, 2020

2019

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

Bockelmann N., Graßhoff J., Hansen L., Bellani G., Heinrich M.P., Rostalski P.
Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram
Current Directions in Biomedical Engineering, 5, 1, 17-20, 2019

Bouteldja N., Merhof D., Ehrhardt J., Heinrich M.P.
Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning
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, 23-28, 2019

Delforouzi A., Holighaus D., Grzegorzek M.
Deep Learning for Object Tracking in 360 Degree Videos
In: 11th International Conference on Computer Recognition Systems (CORES 2019), Polanica-Zdrój, Poland, Progress in Computer Recognition Systems, Springer, 205-213, 2019

Hagenah J., Heinrich M.P., Ernst F.
Deep Transfer Learning for Aortic Root Dilation Identification in 3D Ultrasound Images
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, 198, 2019

2018

Bouteldja N., Heinrich M.P.
Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 229-232, 2018

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

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

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

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

2017

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

Vogt N., Lorenz C., Brosch T., Heinrich M.P.
Deep learning for spinal centerline extraction
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 229-232, 2017

Ziaei A., Mehrtash A., Taghipour M., Ghafoorian M., Pernelle G., Mastmeyer A., Meyer A., Hansen C., Wells W., Abolmaesumi P. et al.
A Deep Learning Technique to Improve MR-Guided Prostate Biopsy
In: AdMeTech Global Summit 2017, 2017

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

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

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

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

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

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

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

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

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

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

2013

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

2012

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

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

Hackmann M., Habermann J., Oberländer M., Prokosch H.-U., Mate S., Christoph J., Handels H., Ingenerf J.
Datenschutzkonforme IT-Lösung für multizentrische klinische Biobanking-Projekte
In: Stausberg J., Großer A., Haerting J., Knaup P., Plischke M., Timmer A., Haux R. (eds.), 57. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Braunschweig, ID261,336-338, 2012

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

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

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

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

2011

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

2010

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

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

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

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