MIDL 2021

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

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Z
Zimmer S., Sparborth T., Handels H.
Implementation of automatic marker recognition in real time in a learning software for medical training simulators
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, 149-152, 2019
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
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
Zhuang X., Li L., Payer C., Štern D., Urschler M., Heinrich M.P., Oster J., Wang C., Smedby Ö., Bian C. et al.
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
Medical Image Analysis, 58, 101537, 2019
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
Zhang J., Li C., Kosov S., Grzegorzek M., Shirahama K., Jiang T., Sun C., Li Z., Li H.
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation
Pattern Recognition, Elsevier, 115, 2021
Zhang J., Li C., Rahaman M.M., Yao Y., Ma P., Zhang J., Zhao X., Jiang T., Grzegorzek M.
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches
Artificial Intelligence Review, Springer, 2021
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
Zell F., Heinrich M.P.
Propagation of landmarks with a registration graph
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 209-212, 2017
Zantop K., Kartalis N., Heinrich M.P., Moreno R.
Influence of Affine Image Registration on the Calculation of Diffusion Properties with a Kurtosis Model in Diffusion Weighted Imaging
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 217-220, 2018
Zamnius D., Heinrich M.P., Lukas S., Siebert H.
Intertemporal Slice-to-Volume matching in Cardiac CT Perfusion Imaging
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, 267-270, 2021
Zaiß A., Graubner B., Ingenerf J., Leiner F., Lochmann U., Schopen M., Schrader U., et al
Medizinische Dokumentation, Terminologie und Linguistik
In: Lehmann T. (ed.), Handbuch der Medizinischen Informatik, Hanser, München, 89-143, 2005
Zaiß A., Ingenerf J., Schulz S., Lochmann U., Leiner F., Graubner B., Schrader U.
Medizinische Dokumentation, Terminologie und Linguistik
In: Lehmann T., Meyer zu Bexten E. (eds.), Handbuch der Medizinischen Informatik., Hanser, München, 45-102, 2002
Y
Yang C., Indurkhya B., See J., Grzegorzek M.
Towards Automatic Skeleton Extraction with Skeleton Grafting
IEEE Transactions on Visualization and Computer Graphics, 1, 2020
Yang C., Flak O., Grzegorzek M.
Representation and Matching of Team Managers: An Experimental Research
IEEE Transactions on Computational Social Systems, 5, 2, 311-323, 2018
X
Xu Z., Lee C.P., Heinrich M.P., Modat M., Rueckert D., Ourselin S., Abramson R.G., Landman B.A.
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.
IEEE transactions on bio-medical engineering, 63, 8, 1563-72, 2016
Abstract
Xiao Y., Rivaz H., Chabanas M., Fortin M., Machado I., Ou Y., Heinrich M.P., Schnabel J.A., Zhong X., Maier A. et al.
Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge
IEEE Transactions on Medical Imaging, 39, 3, 777-786, 2019
W
Wrage J.-H., Beck F., Freund T., Sagbas E., Schmidt H., Ingenerf J., Spreckelsen C., Handels H., Pöppl S.J.
Das Projekt "medin" - Multimediales Fernstudium Medizinische Informatik
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 Verlag, 89-100, 2004
Wrage J.-H., Handels H., Ingenerf J., Beck F., Sagbas E., Schmidt H., Spreckelsen C., Pöppl S.J.
Entwicklung eines multimedialen Fernstudiums Medizinische Informatik
In: 47. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Berlin, Journal Informatik, Biometrie und Epidemiologie in Medizin und Biologie, Urban Fischer Verlag, 33 (2-3), 262, 2002
Wortmann J., Westerhoff V., Schenkat F., Ingenerf J.
Integration of Operational Data from Mobile Ambulances into the Digital Pre-Registration System
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, 289-292, 2019
Wollatz M., Münch-Harrach D., Sunderbrink N., Peimann C.-J., Handels H.
Einführung einer E-Learning-Plattform für die medizinische Lehre am Universitätsklinikum Hamburg-Eppendorf
In: GMDS 2006, Leipzig, Journal GMS Medizinische Informatik, Biometrie und Epidemiologie, 2(3), 2006
PDF
Wollatz M., Münch-Harrach D., Sunderbrink N., Peimann C.-J., Hampe W., Handels H.
Evaluation von E-Learning-Plattformen für die medizinische Lehre am Universitätsklinikum Hamburg-Eppendorf
In: 51. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie, GMDS 2006, Leipzig, Abstractband, 88-89, 2006
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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
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
Wittenberg T., Hastreiter P., Hoppe U., Handels H., Horsch A., Meinzer H.-P. (eds.)
Bildverarbeitung für die Medizin 2003
Informatik Aktuell, Springer Verlag, Erlangen, 2003
Winzeck S., Hakim A., McKinley R., Pinto J.A.A.D.S.R., Alves V., Silva C., Pisov M., Krivov E., Belyaev M., Monteiro M. et al.
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI
Frontiers in Neurology, 9, 679, 2018
Wilms M., Krüger J., Marx M., Ehrhardt J., Bischof A., Handels H.
Estimation of corresponding locations in ipsilateral mammograms: a comparison of different methods
In: Hadjiiski L.M., Tourassi G.D. (eds.), SPIE Medical Imaging 2015: Computer-Aided Diagnosis, Orlando, Florida, United States, SPIE, 9414, 94142B, 2015
PDF
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
Wilms M., Werner R., Yamamoto T., Handels H., Ehrhardt J.
Population-based Correspondence Models for Respiratory Motion Estimation in the Presence of Interfraction Motion Variations
In: Imaging and Computer Assistance in Radiation Therapy, ICART 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, 81-88, 2015
PDF
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
Wilms M., Ehrhardt J., Handels H.
A 4D Statistical Shape Model for Automated Segmentation of Lungs with Large Tumors
In: Ayache N., Delingette H., Golland P., Moriet K. (eds.), 15th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, Nizza, Frankreich, Springer, Berlin, Part II, LNCS 7511, 347-354, 2012
Wilms M., Handels H., Ehrhardt J.
Learning of Representative Multi-Resolution Multi-Object Statistical Shape Models from Small Training Populations
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 359-360, 2017
Wilms M., Fortmeier D., Mastmeyer A., Handels H.
Modellbasierte Simulation der Atembewegung für das Virtual-Reality-Training von Punktionseingriffen
In: Handels H., Deserno T.M., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2015, Lübeck, Informatik aktuell, Springer, Berlin Heidelberg, 317-322, 2015
Wilms M., Werner R., Yamamoto T., Handels H., Ehrhardt J.
Subpopulation-based correspondence modelling for improved respiratory motion estimation in the presence of inter-fraction motion variations
Physics in Medicine and Biology, 62, 14, 5823-5839, 2017
Wilms M., Krüger J., Ehrhardt J., Bischof A., Barkhausen J., Handels H.
Mammo3D - Automatic Determination of Corresponding Structures in 2D/3D Image Data of the Female Breast for Multimodal Breast Cancer Diagnosis
In: 15th Korea-Germany Workshop on Advanced Medical Image Analysis and Cognition-Guided Surgery, Ajou University, Suwon, Korea, 30, 2014
Wilms M., Ha I.Y., Handels H., Heinrich M.P.
Model-based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-guided Interventions
In: Ourselin S., Joskowicz L., Sabuncu M.R., Unal G., Wells W. (eds.), 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016, Athen, Image Processing, Computer Vision, Pattern Recognition, and Graphics, Springer International Publishing, 9902, 89-97, 2016
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Wilms M., Ehrhardt J., Handels H.
Automatische Segmentierung der Lungenflügel in CT-Daten
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, 119-123, 2011
Wilms M., Handels H., Ehrhardt J.
Multi-resolution multi-object statistical shape models based on the locality assumption.
Medical image analysis, 38, 17-29, 2017
Abstract PDF
Wilms M., Ehrhardt J., Werner R., Marx M., Handels H.
Statistical Analysis of Surrogate Signals to Incorporate Respiratory Motion Variability into Radiotherapy Treatment Planning
In: Yaniv Z.R., Holmes III D.R. (eds.), SPIE Medical Imaging 2014, Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, USA, 9036, 90360J, 2014
Wilms M., Ehrhardt J., Handels H.
Modellbasierte 4D-Segmentierung von Lungen mit großen Tumoren in räumlich-zeitlichen CT-Bildfolgen
In: Goltz U., Magnor M., Matthies H., Balke W.T., Wolf L. (eds.), Informatik 2012, Lecture Notes in Informatics, Braunschweig, 1764-1773, 2012
Wilms M., Handels H., Ehrhardt J.
Patch-Based Learning of Shape, Appearance, and Motion Models from Few Training Samples by Low-Rank Matrix Completion
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 215-216, 2017
Wilms M., Handels H., Ehrhardt J.
Representative Patch-based Active Appearance Models Generated From Small Training Populations
In: Descoteaux M., et al (eds.), 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017, Quebec, Springer, Part I, LNCS 10433, 152-160, 2017
PDF
Wilms M., Werner R., Ehrhardt J., Schmidt-Richberg A., Blendowski M., Handels H.
Surrogate-Based Diffeomorphic Motion Estimation for Radiation Therapy: Comparison of Multivariate Regression Approaches
In: Ourselin S., Haynor D.R. (eds.), SPIE Medical Imaging 2013, Image Processing, Orlando, USA, 8669-40,151-158, 2013
PDF
Wilken O., Ingenerf J.
AMIX: Ein System zur automatisierten MeSH-Indexierung
In: GMDS-Jahrestagung 2005, Freiburg, 2005
Wiedekopf J., Ulrich H., Drenkhahn C.M., Kock-Schoppenhauer A.-K., Ingenerf J.
TermiCron – Bridging the Gap between FHIR Terminology Servers and Metadata Repositories
Studies in Health Technology and Informatics, 290, 71-75, 2022
Abstract
Wiedekopf J., Drenkhahn C.M., Rosenau L., Ulrich H., Kock-Schoppenhauer A.-K., Ingenerf J.
TerminoDiff – Detecting Semantic Differences in HL7 FHIR CodeSystems
Studies in Health Technology and Informatics, 294, 362--366, 2022
Abstract
Wiedekopf J., Becker T., Ingenerf J.
Human-Readable Data Export of Medical Documentation
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, 277-280, 2019
Wiedekopf J., Drenkhahn C.M., Ulrich H., Kock-Schoppenhauer A.-K., Ingenerf J.
Providing ART-DECOR ValueSets via FHIR Terminology Servers – A Technical Report
Studies in Health Technology and Informatics, 283, 127-135, 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
White B., Werner R., Lu W., Low D.
Feasibility of Utilizing Pneumatic Abdominal Bellows for Quantitative 4DCT
Medical Physics, 36, 6, 2500, 2009

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