MIDL 2021

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

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Forkert N.D., Säring D., Fiehler J., Illies T., Möller D., Handels H.
Analysis and Dynamic 3D Visualization of Cerebral Blood Flow Combining 3D and 4D MR Image Sequences
In: Medical Imaging 2009: Visualization, Image-Guided Procedures, and ModelingProceedings of SPIE, Lake Buena Vista, FL, USA, SPIE, 7261, 726133-1-726133-8, 2009
Schneider F., Ehrhardt J.
Analysis and implementation of semi-supervised segmentation methods using autoencoders
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, 479-482, 2022
Ulrich H., Kock-Schoppenhauer A.-K., Andersen B., Ingenerf J.
Analysis of Annotated Data Models for Improving Data Quality
Studies in health technology and informatics, 243, 190-194, 2017
Abstract
Barkow L., Meincke O., Ulrich H., Ingenerf J.
Analysis of Data Loss when using the Archiving and Exchange Interface for Practice Management Systems
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, 123-126, 2020
Grohmann C., Werner R., Albers D., Cremers F.
Analysis of Dose Shifts Induced by Organ Movements during Treatment with TomoTherapy Using a Motion Phantom and GafChromic EBT Films
In: Dössel O., Schlegel W.C. (eds.), World Congress on Medical Physics and Biomedical Engineering, Munich, Germany, IFBME Proceedings, Springer Verlag, Berlin, 25/I, 1020-1023, 2009
Grohmann C., Werner R., Albers D., Schmidt R., Cremers F.
Analysis of Dose Shifts Induced by Physiological Organ Movements During Treatment with Tomotherapy using a Motion Phantom and GafChromic EBT Films
In: First International Conference on Clinical Use of Tomotherapy, München, Abstractband, V3, 2008
Ehrhardt J., Werner R., Frenzel T., Lu W., Low D., Handels H.
Analysis of Free Breathing Motion Using Artifact Reduced 4D CT Image Data
In: Pluim P.W., Reinhardt J.M. (eds.), Image Processing, SPIE Medical Imaging 2007, San Diego, Vol. 6512, 1N1-1N11, 2007
PDF
Uzunova H., Kruse J., Kaftan P., Wilms M., Forkert N.D., Handels H., Ehrhardt J.
Analysis of Generative Shape Modeling Approaches
In: Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2021, Wiesbaden, Informatik Aktuell, Springer Fachmedien Wiesbaden, 344-349, 2021
Ulrich H., Kock-Schoppenhauer A.-K., Drenkhahn C.M., Löbe M., Ingenerf J.
Analysis of ISO/TS 21526 Towards the Extension of a Standardized Query API
Studies in Health Technology and Informatics, 275, 202-206, 2020
Koser N.C., Hempe H., Heinrich M.P.
Analysis of the impact of super-resolution on medical CT-Scans for classification and segmentation
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, 235-238, 2022
Forkert N.D., Illies T., Möller D., Handels H., Säring D., Fiehler J.
Analysis of the Influence of 4D MRA Temporal Resolution on Time-to-Peak Estimation Accuracy for Different Cerebral Vessel Structures
American Journal of Neuroradiology, 33, 11, 2103-2109, 2012
Säring D., Ehrhardt J., Stork A., Bansmann P.M., Lund G., Handels H.
Analysis of the Left Ventricle After Myocardial Infarction Combining 4D Cine-MR and 3D DE-MR Image Sequences
In: Handels H., Ehrhardt J., Horsch A., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2006, Hamburg, Informatik aktuell, Springer-Verlag, 56-60, 2006
Kasten M., Li F., Hunag X., Grzegorzek M.
Analysis of the Relevance of Physiological Signals for Sleep Stage Classification using Deep Neural Networks
In: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Berlin, Germany, 2020
Werner R., Ehrhardt J., Frenzel T., Lu W., Low D., Handels H.
Analysis of Tumor-Influenced Respiratory Dynamics Using Motion Artifact Reduced Thoracic 4D CT Images
In: Buzug T.M., Holz D., Bongartz J., Kohl-Bareis M., Hartmann U., Weber S. (eds.), Advances in Medical Engineering, Berlin, Heidelberg, Springer Proceedings in Physics, Springer, 114, 181-186, 2007
Ehrhardt J., Handels H., Wegner T., Strathmann B., Plötz W., Pöppl S.J.
An Anatomical Atlas to Support the Virtual Planning of Hip Operations
Studies in health technology and informatics, 77, 1226-30, 2000
Abstract
Oktay O., Ferrante E., Kamnitsas K., Heinrich M.P., Bai W., Caballero J., Cook S.A., de Marvao A., Dawes T., O'Regan D.P. et al.
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
IEEE Transactions on Medical Imaging, 37, 2, 384-395, 2018
Mastmeyer A., Fortmeier D., Handels H.
Anisotropic Diffusion for Direct Haptic Volume Rendering in Lumbar Puncture Simulation
In: Tolxdorff T., Deserno T.M., Handels H., Meinzer H.-P. (eds.), Bildverarbeitung in der Medizin 2012, Informatik aktuell, Berlin, Springer, Berlin Heidelberg, 286-291, 2012
Forkert N.D., Säring D., Fiehler J., Illies T., Handels H.
AnToNIa: A Software Tool for the Hemodynamic Analysis of Cerebral Vascular Malformations Using 3D and 4D MRA Image Sequences
In: Fischer S., Maehle E., Reischuk R. (eds.), Informatik 2009 - Im Fokus das Leben, Lübeck, Lecture Notes in Informatics, GI, Vol. P-154, 1249-1256, 2009
Herrmann S., Schneider D., Mrongowius J., Heinrich M.P.
Aortic Detection in Image Sequences of Electrical Impedance Tomography
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, 335-338, 2020
Banach A., Ulrich H., Kroll B., Kiel A., Ingenerf J., Kock-Schoppenhauer A.-K.
APERITIF – Automatic Patient Recruiting for Clinical Trials Based on HL7 FHIR
Studies in Health Technology and Informatics, 281, 58-62, 2021
Hufnagel H., Ehrhardt J., Pennec X., Ayache N., Handels H.
Application of a Probabilistic Statistical Shape Model to Automatic Segmentation
In: Dössel O., Schlegel W.C. (eds.), World Congress on Medical Physics and Biomedical Engineering, Munich, Germany , IFMBE Proceedings, Springer, Berlin Heidelberg, 25/4, 2181-2184, 2009
Chung M.S., Dong S., Park H.S., Lee J.W., Riemer M., Handels H., Park J., Shin B.-S.
Applications of the Visible Korean Human
In: 10th Germany-Korea Joint Workshop on Advanced Medical Image Processing, Universität zu Lübeck, Proceedings, 27-29, 2007
Kock A.-K., Andersen B., Ingenerf J., Handels H.
Archetype-basierte strukturierte Dokumentation auf mobilen Geräten
In: Handels H., Ingenerf J. (eds.), 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Lübeck, Abstractband GMDS 2013, ID184:322-323, 2013
Gruendner J., Deppenwiese N., Folz M., Köhler T., Kroll B., Prokosch H.-U., Rosenau L., Rühle M., Scheidl M.-A., Schüttler C. et al.
The Architecture of a Feasibility Query Portal for Distributed COVID-19 Fast Healthcare Interoperability Resources (FHIR) Patient Data Repositories: Design and Implementation Study
JMIR Medical Informatics, 11, 5, e36709, 2022
Mohamed E., Maiolo C., Linder R., Pöppl S.J., De Lorenzo A.
Artificial Neural Network Analysis: A Novel Application for Predicting Multisite Bone Mineral Density for Healthy Italiens
In: Sixth International Symposium “In Vivo Body Composition Studies”, Rome, Italy, Acta Diabetologica, 39, 137-138, 2002
Mohamed E.I., Maiolo C., Linder R., Pöppl S.J., De Lorenzo A.
Artificial Neural Network Analysis: A Novel Application for Predicting Site-Specific Bone Mineral Density
Acta diabetologica, 40 Suppl 1, S19-22, 2003
Abstract
Linder R., Zamelczyk-Pajewska M., Pöppl S.J., Kośmider J.
An Artificial Neural Network Is Capable of Predicting Odour Intensity
Pol J Environ Stud, 14(4), 477-481, 2005
Linder R., Albers A.E., Hess M., Pöppl S.J., Schönweiler R.
Artificial neural network-based classification to screen for dysphonia using psychoacoustic scaling of acoustic voice features.
Journal of voice : official journal of the Voice Foundation, 22, 2, 155-63, 2008
Abstract
Linder R., Pöppl S.J.
Artificial Neural Networks for Classifying Olfactory Signals
Studies in health technology and informatics, 77, 1220-5, 2000
Abstract
Linder R., Geier J., Kölliker M.
Artificial neural networks, classification trees and regression: Which method for which customer?
Database Marketing & Customer Strategy Management, 11(4), 344-356, 2004
Werner R., Duscha C., Schmidt-Richberg A., Ehrhardt J., Handels H.
Assessing Accuracy of Non-Linear Registration in 4D Image, Data Using Automatically Detected Landmark Correspondences
In: Ourselin S., Haynor D.R. (eds.), SPIE Medical Imaging 2013, Image Processing, Orlando, USA, 8669-34,0Z1-0Z9, 2013
PDF
Ingenerf J., Linder R.
Assessing Applicability of Ontological Principles to Different Types of Biomedical Vocabularies
Methods of information in medicine, 48, 5, 459-67, 2009
Abstract
Ehrhardt J., Handels H., Malina T., Strathmann B., Plötz W., Pöppl S.J.
Atlas based Segmentation of Bone Structures to Support the Virtual Planning of Hip Operations
International journal of medical informatics, 64, 2-3, 439-47, 2001
Abstract
Ehrhardt J., Handels H., Malina T., Strathmann B., Plötz W., Pöppl S.J.
Atlas based Segmentation of Bone Structures to Support the Virtual Planning of Hip Operations
International Journal of Medical Informatics, 64, 2-3, 439-447, 2001
Ehrhardt J., Handels H., Pöppl S.J.
Atlas-based Determination of Anatomical Landmarks to Support the Virtual Planning of Hip Operations
In: CARS 2003: Computer Assisted Radiology and Surgery, Lemke H.U., Vannier M.W., Inamura K., Farman A.G., Doi K., Reiber J.H.C. (eds.), International Congress Series, Elsevier, London, 1256, 99-104, 2003
Ehrhardt J., Handels H., Plötz W., Pöppl S.J.
Atlas-based Recognition of Anatomical Structures and Landmarks and the Automatic Computation of Orthopedic Parameters
Methods of information in medicine, 43, 4, 391-7, 2004
Abstract
Ehrhardt J., Handels H., Malina T., Strathmann B., Plötz W., Pöppl S.J.
Atlas-Based Recognition of Anatomical Structures and Landmarks to Support the Virtual Three-Dimensional Planning of Hip Operations
In: Ellis R.E., Peters T.M. (eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003, Montréal, Canada, Lecture Notes in Computer Science, Springer Berlin Heidelberg, 2878, 17-24, 2003
Schwenke M., Färber M., Ehrhardt J., Handels H.
Atlasbasierte 3D-Segmentierung medizinischer Bilddaten mit Fast-Marching-Methoden
In: Meinzer H.P., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2009, Heidelberg, Informatik aktuell, Springer Verlag, 172-176, 2009
Roßmanith C., Meins E., Handels H., Brückmann H.
Atlasbasierte Auswertung von Hirnstamminfarktmustern
In: Arnolds B., Müller H., Saupe D., Tolxdorff T. (eds.), 4. Workshop Digitale Bildverarbeitung in der Medizin, Universität Freiburg, Freiburg, 126-131, 1996
Ehrhardt J., Handels H., Pöppl S.J.
Atlasbasierte Erkennung anatomischer Landmarken
In: Wittenberg T., Hastreiter P., Hoppe U., Handels H., Horsch A., Meinzer H.P. (eds.), Bildverarbeitung für die Medizin 2003, Erlangen, Informatik aktuell, Springer Verlag, Berlin, 393-397, 2003
Ehrhardt J.
Atlasbasierte Erkennung anatomischer Strukturen und Landmarken für die dreidimensionale virtuelle Planung von Hüftoperationen
Books on Demand Norderstedt, 2005
Schlemper J., Oktay O., Schaap M., Heinrich M.P., Kainz B., Glocker B., Rueckert D.
Attention gated networks: Learning to leverage salient regions in medical images
Medical Image Analysis, 53, 197-207, 2019
Oktay O., Schlemper J., Folgoc L.L., Lee M., Heinrich M.P., Misawa K., Mori K., McDonagh S., Hammerla N.Y., Kainz B. et al.
Attention U-Net: Learning Where to Look for the Pancreas
In: Conference on Medical Imaging with Deep Learning (MIDL 2018), 2018
Riemer M., Wollatz M., Handels H.
Aufbau einer E-Learning-Plattform am Universitätsklinikum Hamburg-Eppendorf -- Erfahrungen und Evaluationen
mdi - Forum der Medizin-Dokumentation und Medizin-Informatik, 3, 93-99, 2007
Simon F., Kock A.-K., Neumann A., Wagenzink S., Nohr M., Jürgens M., Milinski R., Holler U., Habermann J.K., Ingenerf J. et al.
Aufbau eines campusweiten Studienregisters harmonisiert aus DRKS, ClinicalTrails.gov und EU Clinical Trials Register
In: GMDS, Osnabrück, 2018
Tanno R., Makropoulos A., Arslan S., Oktay O., Mischkewitz S., Al-Noor F., Oppenheimer J., Mandegaran R., Kainz B., Heinrich M.P.
AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, LNCS, 11071, 905-912, 2018
Ehrhardt J., Wilms M.
Autoencoders and Variational Autoencoders in Medical Image Analysis
In: Burgos N., Svoboda D. (eds.), Biomedical Image Synthesis and Simulations: Methods and Applications, Academic Press, In Press
Fudickar S., Schnor B.
Automated Network Protocol Evaluation - the Potsdam Wireless Testbed
International Journal of Computing, 10, 337-343, 2011
Abstract
Forkert N.D., Schmidt-Richberg A., Treszl A., Hilgetag C., Fiehler J., Münchau A., Handels H., Boelmans K.
Automated Volumes-of-Interest Identification for Classical and Atypical Parkinsonian Syndrome Differentiation Using T2' MR Imaging
Methods of information in medicine, 52, 2, 128-136, 2013
Abstract
Handels H.
Automatic 3D Segmentation and Characterization of Brain Tissues in Multiparametric MR Image Sequences
In: Greenes R.A., Peterson H.E., Protti D.J. (eds.), Eighth World Congress on Medical Informatics (MEDINFO '95), Vancouver, Canada , North-Holland Verlag, Amsterdam, 696-700, 1995

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