MIDL 2021

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

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O
Lins C., Fudickar S., Hein A.
OWAS inter-rater reliability
Applied Ergonomics, 93, 103357, 2021
Abstract
Handels H., Ehrhardt J., Plötz W., Pöppl S.J.
An Orthopaedic Atlas for the 3D Operation Planning and the Virtual Construction of Endoprostheses in Computer Assisted Orthopaedic Surgery
In: Lemke H.U., Vannier M.W., Inamura K., Farman A.G., Doi K. (eds.), Computer Assisted Radiology and Surgery, CARS 2001, Berlin, Elsevier, 312-317, 2001
Schönweiler R., Katalinic A., Thyen U., Linder R.
Organisation und Softwareunterstützung der Trackingszentrale des universellen Neugeborenenhörscreenings Schleswig-Holstein (UNHS-SH)
In: Gross M., Kruse E. (eds.), 24. Wissenschaftliche Jahrestagung der Deutschen Gesellschaft für Phoniatrie und Pädaudiologie e. V., Innsbruck, Aktuelle phoniatrisch-pädaudiologische Aspekte 2007/2008, Median-Verlag, Band 15, 2007
Rockstroh M., Franke S., Hofer M., Will A., Kasparick M., Andersen B., Neumuth T.
OR.NET: Multi-perspective Qualitative Evaluation of an Integrated Operating Room based on IEEE 11073 SDC
International Journal of Computer Assisted Radiology and Surgery, 12, 8, 1461-1469, 2017
Kasparick M., Schmitz M., Andersen B., Rockstroh M., Franke S., Schlichting S., Golatowski F., Timmermann D.
OR.NET: A Service-Oriented Architecture for Safe and Dynamic Medical Device Interoperability
Biomedizinische Technik. Biomedical engineering, 63, 1, 11-30, 2018
Abstract
Fortmeier D., Mastmeyer A., Handels H.
Optimized Image-Based Soft Tissue Deformation Algorithms for Visualization of Haptic Needle Insertion
In: Westwood J.D., Westwood S.W., Felländer-Tsai L., Haluck R.S., Robb R.A., Senger S., Vosburgh K.G. (eds.), Medicine Meets Virtual Reality 20, MMVR 2013, San Diego USA, Stud Health Technol Inform, IOS Press,, 184, 136-140, 2013
Duscha C., Werner R., Handels H.
Optimization of the Detection Performance of Förstner-Rohr-Type Operators in Abdominal and Thoracic Tomographic Image Data
In: Buzug T.M., Ehrhardt J., Handels H., Ingenerf J., et al (eds.), Student Conference 2013, Medical Engineering Science, Lübeck, Grin Verlag, 35-38, 2013
Schröder C., Mastmeyer A., Fortmeier D., Bohn C.-A., Nabavi A., Handels H.
Optimierung von Schädelöffnungen mittels genetischer Algorithmen für die Behandlung subduraler Hämatome
In: 11. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, CURAC 2012, Düsseldorf, 4Seiten, 2012
Wolf J.-C., Schmidt-Richberg A., Werner R., Ehrhardt J., Handels H.
Optimierung nicht-linearer Registrierung durch automatisch detektierte Landmarken
In: Handels H., Ehrhardt J., Deserno T.M., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2011, Informatik aktuell, Lübeck, Springer Berlin Heidelberg, 89-93, 2011
Linder R., Pöppl S.J.
Optimierung der Konvergenzgeschwindigkeit von Backpropagation
In: 20. DAGM Symposium, Stuttgart, Springer, Berlin u.a., 175-182, 1998
Ehrhardt J., Säring D., Handels H.
Optical Flow-based Interpolation of Temporal Image Sequences
In: Reinhardt J.M., Pluim P.W. (eds.), Image Processing, SPIE Medical Imaging 2006, San Diego, Vol. 6144, 61442K-1-61442K-8, 2006
PDF
Ehrhardt J., Werner R., Säring D., Frenzel T., Lu W., Low D., Handels H.
An optical flow based method for improved reconstruction of 4D CT data sets acquired during free breathing.
Medical physics, 34, 2, 711-21, 2007
Abstract
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
Reimer N., Ulrich H., Busch H., Kock-Schoppenhauer A.-K., Ingenerf J.
openEHR Mapper – A Tool to Fusion Clinical and Genomic Data using the openEHR standard
Studies in Health Technology and Informatics, 278, 86-93, 2021
Drenkhahn C.M., Ulrich H., Ingenerf J.
An ontology-based tool to visually compare LOINC subsets
GMS Medizinische Informatik, Biometrie und Epidemiologie, 2021
Ingenerf J.
Ontologien und Terminologien als notwendige Bausteine semantisch interoperabler EHR-Systeme
In: 54. GMDS-Jahrestagung, September 2009 in Essen, online-verfügbares Meeting-Abstract eines Workshops „EHR-Architekturen“ im GMS-Journal, 2009, 2009
Ingenerf J., Linder R.
Ontological Principles Applied to Biomedical Vocabularies
In: Reichert A., Mihalas G., Stoicu-Tivadar L., Schulz S., Engelbrecht R. (eds.), EFMI Special Topic Conference „Integrating Biomedical Information: From eCell to ePatient”, Timisoara, Romania, Berlin: AKA-Verlag, 3189-334, 2006
Kock-Schoppenhauer A.-K., Kroll B., Lambarki M., Ulrich H., Stahl-Toyota S., Habermann J.K., Duhm-Harbeck P., Ingenerf J., Lablans M.
One Step Away from Technology but One Step Towards Domain Experts—MDRBridge: A Template-Based ISO 11179-Compliant Metadata Processing Pipeline
Methods of Information in Medicine, 58, S 02, e72-e79, 2019
Fudickar S., Amend S., Schnor B.
On the comparability of indoor localization systems' accuracy
In: Proceedings of the 5th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA 2013, 2013
Abstract
Kasparick M., Andersen B.
Offene Standards im vernetzten Operationssaal
Elektronikpraxis, 14, 62-64, 2016
Laule D., Diesel J., Heinrich M.P.
Occlusion Estimation in 3D Point Clouds using Visual Data from Home Care Scenarios
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 185-188, 2018
Handels H., Roßmanith C., Rinast, E, Weiss H.-D., Pöppl S.J.
Objektbezogene Bildanalyse von Hirntumoren zur Unterstützung der neuroradiologischen Diagnostik
In: Trampisch H.J., Lange S. (eds.), 40. Jahrestagung der GMDS 1995, Bochum, Medizinische Forschung - Ärztliches Handeln, MMV Verlag, München, 232-235, 1995
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., 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

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