MIDL 2021

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

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Hansen L., Heinrich M.P.
Sparse Structured Prediction for Semantic Edge Detection in Medical Images
In: International Conference on Medical Imaging with Deep Learning, PMLR, 102, 250-259, 2019
Ingenerf J.
SNOMED CT – Eine Referenzterminologie für Deutschland?
EHEALTHCOM, 50-52, 2008
Fetzer T., Ebner F., Bullmann M., Deinzer F., Grzegorzek M.
Smartphone-Based Indoor Localization within a 13th Century Historic Building
Sensors, 18, 12, 2018
Ulrich H., Germer S., Kock-Schoppenhauer A.-K., Kern J., Lablans M., Ingenerf J.
A Smart Mapping Editor for Standardised Data Transformation
Studies in Health Technology and Informatics, 270, 1185-1186, 2020
Schmidt-Richberg A., Ehrhardt J., Werner R., Handels H.
Slipping Objects in Image Registration: Improved Motion Field Estimation with Direction-dependent Regularization
In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, London, Lecture Notes in Computer Science, Springer Verlag, Part I, LNCS 5761 , 755-762, 2009
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
Lins C., Fudickar S., Hein A.
SKAML: An XML Markup Language for Abstract Skeleton Definitions in the Context of Human Posture Assessments
In: Medical Informatics Europe, Gothenburg, Sweden, 2018
Abstract
Ehrhardt J., Schmidt-Richberg A., Handels H.
Simultaneous Segmentation and Motion Estimation in 4D-CT Data Using a Variational Approach
In: Medical Imaging 2008: Image Processing, San Diego, CA, USA, Proceedings of SPIE, SPIE, 6914, 691437-1-691437-10, 2008
PDF
Bommersheim S., Tiede U., Burmester E., Riemer M., Handels H.
Simulation von Ultraschallbildern für ein virtuelles Trainingssystem für endoskopische Longitudinal-Ultraschalluntersuchungen
In: Meinzer H.-P., Handels H., Horsch A., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2005: Algorithmen - Systeme - Anwendungen, Heidelberg, Informatik aktuell, Springer-Verlag, 450-454, 2005
Kath N., Handels H., Mastmeyer A.
Simulation von Radiofrequenzablationen für die Leberpunktion in 4D-VR-Simulationen
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, 289-294, 2019
Blendowski M., Wilms M., Werner R., Handels H.
Simulation und Evaluation tiefenbildgebender Verfahren zur Prädiktion atmungsbedingter Organ- und Tumorbewegungen
In: Meinzer H.-P., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin, BVM 2013, Heidelberg, Informatik aktuell, Springer Verlag, Berlin, 350-355, 2013
PDF
Marx M., Ehrhardt J., Werner R., Schlemmer H.-P., Handels H.
Simulation of Spatiotemporal CT Data Sets Using a 4D MRI-Based Lung Motion Model
International Journal of Computer Assisted Radiology and Surgery, 9, 3, 401-409, 2014
Blendowski M., Wilms M., Werner R., Handels H.
Simulation of Range-Imaging-Based Prediction of Respiratory Organ and Tumor Motion Using 4D CT Data: Influence of Signal Dimensionality and Sampling Patterns
In: Handels H., Ingenerf J. (eds.), 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Lübeck, Abstractband GMDS 2013, ID118:216-217, 2013
Wilms M., Werner R., Blendowski M., Ortmüller J., Handels H.
Simulation of Range Imaging-Based Estimation of Respiratory Lung Motion: Influence of Noise, Signal Dimensionality and Sampling Patterns
Methods of Information in Medicine, 53, 4, 257-263, 2014
Krüger J., Ehrhardt J., Bischof A., Handels H.
Simulation of Mammographic Breast Compression in 3D MR Images Using ICP-Based B-Spline Deformation for Multimodality Breast Cancer Diagnosis
International Journal of Computer Assisted Radiology and Surgery, 9, 3, 367-377, 2014
Handels H., Ehrhardt J., Plötz W., Pöppl S.J.
Simulation of Hip Operations and Design of Custom-made Endoprostheses using Virtual Reality Techniques
Methods of information in medicine, 40, 2, 74-7, 2001
Abstract
Krüger J., Ehrhardt J., Bischof A., Handels H.
Simulation mammographischer Brustkompression zur Generierung von MRT-Projektionsbildern
In: Meinzer H.-P., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin, BVM 2013, Heidelberg, Informatik aktuell, Springer Verlag, Berlin, 146-151, 2013
PDF
Färber M., Heller J., Handels H.
Simulation and Training of Lumbar Punctures Using Haptic Volume Rendering and a 6DOF Haptic Device
In: Cleary K.R., Miga M.I. (eds.), Visualization, Image-Guided Procedures, and Display, SPIE Medical Imaging 2007, San Diego, Vol. 6509, 0F1-0F8, 2007
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Wagner M., Zamelczyk-Pajewska M., Landes C., Sudhoff H., Kosmider J., Richards T., Krause U.-M., Stark R., Groh A., Weichert F. et al.
Simulating Soft Data to make Soft Data applicable to Simulation
In vivo (Athens, Greece), 20, 1, 49-54, 2006
Abstract
Soika K.L., Melnik S., Heinrich M.P.
Simulated Monochromatic X-ray Images by Forward Projection Utilizing the Lambert-Beer Law
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 285-288, 2017
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
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
PDF
Lucas C., Maier O., Heinrich M.P.
Shallow fully-connected neural networks for ischemic stroke-lesion segmentation in MRI
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung in der Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 261-266, 2017
Andersen B., Kasparick M., Riech K., Klöckner S., Keller A., Mündermann L., Maier-Holzberg J., Timmermann D., Ingenerf J.
Service-Oriented Medical Device Connectivity: Particular Standards for Endoscopic Surgery
In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, IEEE, 5649-5652, 2020
Kasparick M., Köny M., Andersen B., Riech K., Keller A., Kämmer S., Guth A., Mündermann L., Stickel A., Klöckner S. et al.
Service-Oriented Medical Device Connectivity: Particular Interoperability Standards for High Frequency Surgical Equipment and External Control Devices
Current Directions in Biomedical Engineering, 7, 2, 523-526, 2021
Andersen B., Baumhof S., Ingenerf J.
Service-Oriented Device Connectivity: Device Specialisations for Interoperability
In: MedInfo, Lyon, Stud Health Technol Inform, 264, 509-511, 2019
Manna C., Rahman A., Sbracia M., Pappalardo S., Mohamed E.I., Linder R., Nardo L.G.
Serum luteinizing hormone, follicle-stimulating hormone and oestradiol pattern in women undergoing pituitary suppression with different gonadotrophin-releasing hormone analogue protocols for assisted reproduction
Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology, 20, 4, 188-94, 2005
Abstract
Krönert D., Grünewald A., Li F., Grzegorzek M., Brück R.
Sensor Headband for Emotion Recognition in a Virtual Reality Environment
In: 6th International Conference on Information Technologies in Biomedicine (ITIB 2018), Kamień Śląski, Poland, Springer, 539-548, 2018
Wolff J., Schindler S., Lucas C., Binninger A.-S., Weinrich L., Schreiber J., Hegerl U., Möller H.E., Leitzke M., Geyer S. et al.
A semi-automated algorithm for hypothalamus volumetry in 3 Tesla magnetic resonance images
Psychiatry Research: Neuroimaging, 277, 45-51, 2018
Mastmeyer A., Kath N., Handels H.
Semantische und numerische Datenfusionierung für Virtual Reality Simulationen zur Ablationsplanung unter Atembewegung
In: GMDS, Osnabrück, 2018
Zeplin G., Kock A.-K., Seidl K., Mersmann S., Ingenerf J.
Semantische HL7v3 Annotation klinischer Messwerte aus einem PDMS mittels ISO/IEEE 11073 Gerätebeschreibungen zur Anbindung von Smart Applications
In: Blettner M., Kaatsch P., Kaiser M. (eds.), 56. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds), 6. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi), Mainz, 190-191, 2011
Ha I.Y., Wilms M., Heinrich M.P.
Semantically Guided Large Deformation Estimation with Deep Networks
Sensors, 20, 5, 1392, 2020
Schumacher M., Frey D., Ha I.Y., Genz A., Bade R., Heinrich M.P.
Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning
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, 16-21, 2021
Andersen B., Ulrich H., Kock A.-K., Wrage J.-H., Ingenerf J.
Semantic interoperability in the OR.NET project on networking of medical devices and information systems — A requirements analysis
In: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Valencia, Spain, IEEE, 428-431, 2014
Blendowski M., Heinrich M.P.
Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data
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, 192, 2020
Mücke E., Handels H., Werner R.
Self-reference-based and during-registration detection of motion artifacts in spatio-temporal image data
In: Angelini E.D. (ed.), SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 105740Q-1-105740Q-7, 2018
Maier O., Wilms M., von der Gablentz J., Krämer U., Handels H.
Segmentierung von ischämischen Schlaganfall-Läsionen in multispektralen MR-Bildern mit Random Decision Forests
In: Deserno T.M., Handels H., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2014, Aachen, Informatik aktuell, Springer, Berlin Heidelberg, 156-161, 2014
Behringer P.A., Mastmeyer A., Fortmeier D., Biermann C., Handels H.
Segmentierung intrahepatischer Gefäße mit Vesselness-Verfahren
In: Deserno T.M., Handels H., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2014, Aachen, Informatik aktuell, Springer, Berlin Heidelberg, 150-155, 2014
Säring D., Barmeyer A., Stork A., Handels H.
Segmentierung des linken Ventrikels in 4D-MR-Bildfolgen unter Verwendung nicht-linearer Registrierung
In: 41. Jahrestagung der Deutschen Gesellschaft für Biomedizinische Technik, Proceedings-CD BMT 2007, Aachen, Biomedizinische Technik, de Gruyter, Vol 52, Ergänzungsband, 2007
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Florack C., Kepp T., Hilge F., Wang-Evers M., Mannstein D., Handels H.
Segmentation of the dermal-epidermal junction in OCT image data using deep learning
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, 219-222, 2022
Kepp T., Droigk C., Casper M., Evers M., Salma N., Manstein D., Handels H.
Segmentation of subcutaneous fat within mouse skin in 3D OCT image data using random forests
In: SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 1057426-1-1057426-8, 2018
PDF
Kepp T., Sudkamp H., von der Burchard C., Schenke H., Koch P., Hüttmann G., Roider J., Heinrich M.P., Handels H.
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
In: SPIE Medical Imaging 2020, Houston, USA, 2020
Kepp T., Sudkamp H., von der Burchard C., Schenke H., Koch P., Hüttmann G., Roider J., Heinrich M.P., Handels H.
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning
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, 183, 2020
Hahn C., Nitschke M., Melchert U., Wessel K., Handels H., Pöppl S.J.
Segmentation of Parametric Maps by Probabilistic Relaxation
In: 3. International Conference on Functional Mapping of the Human Brain, Kopenhagen, Journal NeuroImage, Academic Press, 471, 1997
Kepp T., Droigk C., Casper M., Evers M., Hüttmann G., Salma N., Manstein D., Heinrich M.P., Handels H.
Segmentation of Mouse Skin Layers in Optical Coherence Tomography Image Data using Deep Convolutional Neural Networks
Biomedical Optics Express, 10, 7, 3484-3496, 2019
Stein A., Otte K., Röhling H.M., Li F., Nisar M.A., Grzegorzek M.
Segmentation of infants in depth data: Evaluation of thresholding approaches
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, 307-310, 2022
Schladetzky J., Studer M., Handels H.
Segmentation of Cutaneous Lymphoma Lesions Using Convolutional Neural Networks
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, 329-332, 2021
Schaar M., Ehrhardt J.
Segmentation of Anatomical Structures Using Statistical Shape Models Based on Level Sets
In: Buzug T.M., Ehrhardt J., Handels H., Ingenerf J., et al (eds.), Student Conference 2013, Medical Engineering Science, Lübeck, Grin Verlag, 3-6, 2013
Kock-Schoppenhauer A.-K., Bruland P., Kadioglu D., Brammen H., Ulrich H., Kulbe K., Duhm-Harbeck P., Ingenerf J.
Scientific Challenge in eHealth: MAPPATHON- A Metadata Mapping Challenge
In: MedInfo, Lyon, Stud Health Technol Inform, 264, 1516-1517, 2019

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