MIDL 2021

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

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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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Linnepe D., Groppe S., Ingenerf J.
Nutzung von MEDLINE und MeSH für das Benchmarking von RDF-Speichersystemen
In: 54. GMDS-Jahrestagung, September 2009 in Essen, online-verfügbares Meeting-Abstract im GMS-Journal, 2009., 2009
Rexilius J., Warfield S.K., Guttmann C.R.G., Wei X., Benson R., Wolfson L., Shenton M., Handels H., Kikinis R.
A Novel Nonrigid Registration Algorithm and Applications
In: Niessen W.J., Viergever M.A. (eds.), Fourth International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001, Ütrecht, Springer Verlag, 923-93, 2001
Mohamed E.I., Bruno E., Linder R., Alessandrini M., Di Girolamo A., Pöppl S.J., Puija A., De Lorenzo A.
A Novel Method for Diagnosing Chronic Rhinosinusitis based on an Electronic Nose
Anales otorrinolaringológicos ibero-americanos, 30, 5, 447-57, 2003
Abstract
Bruno E., Mohamed E., Linder R., Alessandrini M., Di Girolamo A., Pöppl S.J., De Lorenzo A.
A Novel Method for Diagnosing Chronic Rhinosinusitis
In: 19th Congress of the European Rhinologic Society, Ulm, Abstract Book, S.114, 2002
Heinrich M.P., Papiez B.W., Schnabel J., Handels H.
Non-Parametric Discrete Registration with Convex Optimisation
In: Ourselin S., Modat M. (eds.), Biomedical Image Registration, WBIR 2014, London, Springer, Berlin, LNCS 8545, 51-61, 2014
Heinrich M.P., Jenkinson M., Bhushan M., Matin T., Gleeson F.V., Brady M.J., Schnabel J.A.
Non-local shape descriptor: a new similarity metric for deformable multi-modal registration.
Medical image computing and computer-assisted intervention : MICCAI 2011 International Conference on Medical Image Computing and Computer-Assisted Intervention, 14, Pt 2, 541-8, 2011
Abstract
Khan M.H., Farid M.S., Grzegorzek M.
A Non-linear View Transformations Model for Cross-view Gait Recognition
Neurocomputing, 402, 100-111, 2020
Hufnagel H., Pennec X., Malandin G., Handels H., Ayache N.
Non-linear 2D and 3D Registration Using Block-Matching and B-Splines
In: Meinzer H.-P., Handels H., Horsch A., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2005: Algorithmen - Systeme - Anwendungen, Hamburg, Informatik aktuell, Springer-Verlag, 325-329, 2005
Säring D., Ehrhardt J., Handels H., Pöppl S.J.
Nicht-lineare voxelbasierte Registrierung unter Einbeziehung von Differentialeigenschaften
In: Tolxdorff T., et al (eds.), Bildverarbeitung für die Medizin 2004: Algorithmen - Systeme - Anwendungen, Berlin, Informatik aktuell, Springer-Verlag, 284-288, 2004
PDF
Linder R., Pöppl S.J.
A new neural network approach classifies olfactory signals with high accuracy
Food Quality and Preference, 14, 5-6, 435-440, 2003
Andresen J., Uzunova H., Ehrhardt J., Handels H.
New Multiple Sclerosis Lesion Detection with Convolutional Neural Registration Networks
In: Commowick O., Cervenansky F., Cotton F., Dojat M. (eds.), Proceedings of the 2nd MICCAI challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure — MICCAI-MSSEG-2, 111-114, 2021
Handels H., Ross T., Kreusch J., Wolff H.H., Pöppl S.J.
New Approach for Automatic Recognition of Melanoma in Profilometry: Optimized Feature Selection using Genetic Algorithms
In: Kim Y., Dobbins III J.T., Hoffman E.A., Hanson K.M., Shung K.K. (eds.), SPIE 1998, SPIE Proceedings, SPIE, 3338, 684-692, 1998
Wagner M., Linder R., Anhenn O., Ebsen M., Schwarze J., Sudhoff H., Pöppl S.J., Theegarten D.
Neue diagnostische Möglichkeiten im Tierversuch durch multivariate Auswertung plethysmographischer Variablen per artifiziellem neuronalen Netzwerk (ANN)
In: 38. Tagung der Gesellschaft für Lungen- und Atmungsforschung, Bochum, Pneumologie, 11, 744-5, 2002
Ziaei A., Mehrtash A., Pernelle G., Mastmeyer A., Fedorov A., Fennessy F., Tuncali K., Tempany C., Kapur T.
Needle Trajectory Segmentation for MRI-Guided Prostate Biopsy
In: BWH Radiology Research Symposium, 2017
Färber M., Dahmke T., Bohn C.-A., Handels H.
Needle Bending in a VR-Puncture Training System Using a 6DOF Haptic Device
In: MMVR17, Long Beach, USA, Studies in health technology and informatics, http://www.ncbi.nlm.nih.gov/pubmed/19377121?dopt=Abstract, 142, 91-3, 2009
Abstract
M
Landwehr L., Bouwman C., Aben J.P., Prinzen F.W., Heinrich M.P.
Myocardial Strain Measurement – A Registrational Method with Block Matching Approach–
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 195-198, 2016
Ingenerf J., Reiner J.
MUSTANG: Wiederverwendbare UMLS-basierte terminologische Dienste
In: Engelbrecht P. (ed.), 45. Jahrestagung der GMDS in Hannover, August 2000, München, MMV Medien & Medizin, 2000
Wilms M., Werner R., Ehrhardt J., Schmidt-Richberg A., Schlemmer H.-P., Handels H.
Multivariate Regression Approaches for Surrogate-based Diffeomorphic Estimation of Respiratory Motion in Radiation Therapy
Physics in Medicine and Biology, 59, 1147-1164, 2014
PDF
Heinrich M.P., Papiez B.W., Schnabel J., Handels H.
Multispectral Image Registration Based on Local Canonical Correlation Analysis
In: Golland P., Hata N., Barillot C., Hornegger J., Howe R. (eds.), 17th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, Boston, Springer, Berlin, Part I, LNCS 8673, 202-209, 2014
Nurzynska K., Fudickar S.
Multiple Language, User-Friendly Sign Language Chat
International Journal of Emerging Technologies in Learning, 2, 2007
Wessel J., Heinrich M.P.
Multiple Landmark Localization in medical CT Scans using Deep Neural Networks with Heatmap Regression
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 197-200, 2018
Blendowski M., Bouteldja N., Heinrich M.P.
Multimodal 3D medical image registration guided by shape encoder–decoder networks
International Journal of Computer Assisted Radiology and Surgery, 15, 269-276, 2020
Schultz S., Handels H., Ehrhardt J.
A multilevel Markov Chain Monte Carlo approach for uncertainty quantification in deformable registration
In: Angelini E.D. (ed.), SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 105740O-1-105740O-8, 2018
Brügge N.S., Grasshoff J., Weigenand A., Rostalski P.
Multi-Task Gaussian Process Regression for the Detection of Sleep Cycles in Premature Infants
In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1341-1345, 2022
Lucas C., Kemmling A., Madany Mamlouk A., Heinrich M.P.
Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images
In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, IEEE, 1118-1121, 2018
Uzunova H., Ehrhardt J., Jacob F., Frydrychowicz A., Handels H.
Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
In: 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019, Shenzen, China, 11769, 112-120, 2019
Uzunova H., Ehrhardt J., Jacob F., Frydrychowicz A., Handels H.
Multi-Scale GANs for Memory-Effcient Generation of High Resolution Medical Images
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, 286, 2020

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