MIDL 2021

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

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Linder R., Ingenerf J., Katalinic A., Thyen U., Schönweiler R.
Tracking Children for the Newborn Hearing Screening in Northern Germany
In: MEDINFO 2007, Brisbane, Australien, Proceedings of the 12th World Congress on Health (Medical) Informatics, Tagungs-CD1237-1250, 2007
Linder R., Pöppl S.J.
About the Capabilities of Artificial Neural Networks in Body Composition Research
In: Sixth International Symposium “In Vivo Body Composition Studies”, Rome, Italy, Acta Diabetologica, 39, 133, 2002
Linder R., Dodt C., Kurowski V., Djonlagic H.
Vorteil eigenständiger Stationen
Deutsches Ärzteblatt , 26, 1490-1491, 2003
Linder R., Dew D., Sudhoff H., Theegarten D., Remberger K., Pöppl S.J., Wagner M.
The 'Subsequent Artificial Neural Network' (SANN) Approach Might Bring More Classificatory Power to ANN-based DNA Microarray Analyses
Bioinformatics, 20, 18, 3544-3552, 2004
Linder R., Pöppl S.J.
Optimierung der Konvergenzgeschwindigkeit von Backpropagation
In: 20. DAGM Symposium, Stuttgart, Springer, Berlin u.a., 175-182, 1998
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
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
Lins C., Fudickar S., Hein A.
XML Skeleton Definitions for Human Posture Assessments
Studies in Health Technology and Informatics, 253, 225-229, 2018
Abstract
Lins C., Friedrich B., Hein A., Fudickar S.
An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor
Health and Technology, 161-173, 2022
Abstract
Lins C., Klausen A., Fudickar S., Hellmers S., Lipprandt M., Röhrig R., Hein A.
Determining Cardiopulmonary Resuscitation Parameters with Differential Evolution Optimization of Sinusoidal Curves
In: Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Funchal - Madeira, Portugal, SCITEPRESS - Science and Technology Publications, 665-670, 2018
Abstract
Lins C., Fudickar S., Hein A.
OWAS inter-rater reliability
Applied Ergonomics, 93, 103357, 2021
Abstract
Lins C., Fudickar S., Gerka A., Hein A.
A Wearable Vibrotactile Interface for Unfavorable Posture Awareness Warning
In: in Proc. 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2018), Funchal - Madeira, Portugal, 2018
Abstract
Lins C., Eckhoff D., Klausen A., Hellmers S., Hein A., Fudickar S.
Cardiopulmonary resuscitation quality parameters from motion capture data using Differential Evolution fitting of sinusoids
Applied Soft Computing, 2019
Abstract
Löbe M., Ulrich H., Beger C., Bender T., Bauer C., Sax U., Ingenerf J., Winter A.
Improving Findability of Digital Assets in Research Data Repositories Using the W3C DCAT Vocabulary
Studies in Health Technology and Informatics, In Press
Löffler B.S., Stecher H.I., Fudickar S., de Sordi D., Otto-Sobotka F., Hein A., Herrmann C.H.
Counteracting the Slowdown of Reaction Times in a Vigilance Experiment with 40-Hz Transcranial Alternating Current Stimulation
IEEE - Transactions on Neural Systems & Rehabilitation Engineering, 2018
Abstract
Löffler B.S., Fudickar S., Herrmann C.S., Hein A.
Ein Blick in das Gehirn: Messung und Verbesserung der Fahrleistung älterer Autofahrender mit Hilfe von Neuroimaging und Elektrostimulation
In: Carolin Wienrich Thorsten Zander K.G. (ed.), Trends in Neuroergonomics, Berlin, 11. Berliner Werkstatt Mensch-Maschine-Systeme, Universitätsverlag der TU Berlin, 166-169, 2015
Abstract
Lübbe C., Friedrich B., Fudickar S., Hellmers S., Hein A.
Feature Based Random Forest Nurse Care Activity Recognition Using Accelerometer Data
In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC '20 Adjunct), 2020
Abstract
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
Lucas C., Schöttler J.J., Kemmling A., Aulmann L.F., Heinrich M.P.
Automatic Detection and Segmentation of the Acute Vessel Thrombus in Cerebral CT
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, 74-79, 2019
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
Lucas C., Aulmann L.F., Kemmling A., Mamlouk A.M., Heinrich M.P.
Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2019, 69-79, 2020
Lucas C., Kemmling A., Bouteldja N., Aulmann L.F., Madany Mamlouk A., Heinrich M.P.
Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations
Frontiers in Neurology, 9, 989, 2018
Lucas C., Aulmann L.F., Kemmling A., Mamlouk A.M., Heinrich M.P.
Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
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, 143, 2020
Lux P., Diesel J., Heinrich M.P.
2D Image Registration for Transforming Segmentation Masks within a Multi-Modal Camera Setup
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, 129-132, 2019
M
Maier O., Wilms M., von der Gablentz J., Krämer U., Handels H.
Ischemic Stroke Lesion Segmentation in Multi-Spectral MR Images with Support Vector Machine Classifiers
In: Aylward S., Hadjiiski L.M. (eds.), SPIE Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, California, USA, SPIE, 9035, 903504-903504-12, 2014
Maier O., Handels H.
Local Problem Forests: Classifier Training for Locally Limited Sub-Problems Using Spectral Clustering
In: 2015 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2015, New York, IEEE Proceedings, The Printing House, 806-809, 2015
Maier A., Deserno T.M., Handels H., Maier-Hein K., Palm C., Tolxdorff T.
Guest Editorial of the IJCARS—BVM 2018 Special Issue
International Journal of Computer Assisted Radiology and Surgery, 14, 1, 1-2, 2019
Maier O., Wilms M., Handels H.
Image Features for Brain Lesion Segmentation Using Random Forests
In: Crimi A., Menze B., Maier O., Reyes M., Handels H. (eds.), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (Brainles 2015), München, Lecture Notes in Computer Science, Springer International Publishing, 9556, 119-130, 2016
Maier O., Schröder C., Forkert N.D., Martinetz T., Handels H.
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study
PLOS ONE, 10, 12, e0145118, 2015
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
Maier A., Deserno T.M., Handels H., Maier-Hein K., Palm C., Tolxdorff T.
IJCARS: BVM 2019 special issue
International Journal of Computer Assisted Radiology and Surgery, 14, 11, 1823-1824, 2019
Maier O., Wilms M., von der Gablentz J., Krämer U.M., Münte T.F., Handels H.
Extra Tree forests for sub-acute ischemic stroke lesion segmentation in MR sequences
Journal of Neuroscience Methods, 240, 89-100, 2015
PDF
Maier O., Menze B.H., von der Gablentz J., Häni L., Heinrich M.P., Liebrand M., Winzeck S., Basit A., Bentley P., Chen L. et al.
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
Medical Image Analysis, 35, 250-269, 2017
PDF
Maier O., Handels H.
MS lesion segmentation in MRI with random forests
Proc. 2015 Longitudinal Multiple Sclerosis Lesion Segmentation Challenge, 1-2, 2015
Maier A., Deserno T.M., Handels H., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.)
Bildverarbeitung für die Medizin 2018
Springer Vieweg, Berlin Heidelberg, Erlangen, 2018
Maier O., Wilms M., Handels H.
Random Forests with Selected Features for Stroke Lesion Segmentation
In: MICCAI Challenge on Ischemic Stroke Lesion Segmentation, ISLES 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, 17-22, 2015
Maier-Hein K., Deserno T., Handels H., Maier A., Palm C., Tolxdorff T. (eds.)
Bildverarbeitung für die Medizin 2022
Springer Vieweg, Wiesbaden, Heidelberg, 2022
Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.)
Bildverarbeitung für die Medizin 2017
Springer Berlin Heidelberg, Berlin, 2017
Malterer S., Ehrhardt J., Frydrychowicz A., Oechtering T., Handels H.
Measurement ans Analysis of the repiration-driven Motion of the Pulmonary Artery
In: Buzug T.M., Birngruber R., Brinkmann R., Gehring H., Gutsmann T., Handels H., Heinrich M.P., et al (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 131-134, 2015
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
Maqsood A., Farid M.S., Khan M.H., Grzegorzek M.
Deep Malaria Parasite Detection in Thin Blood Smear Microscopic Images
Applied Sciences, MDPI, 114, 5, 2284, 2021
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
Marx M., Ehrhardt J., Werner R., Schlemmer H.-P., Handels H.
4D-MRT-basierte Simulation der Lungenbewegung in statischen CT-Daten
In: Meinzer H.-P., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin, BVM 2013, Heidelberg, Informatik aktuell, Springer Verlag, Berlin, 134-139, 2013
PDF
Mastmeyer A., Fortmeier D., Handels H.
Direct Haptic Volume Rendering in Lumbar Puncture Simulation
In: MMVR 2012, Stud Health Technol Inform, 173, IOS Press, 280-286, 2012
Mastmeyer A., Fortmeier D., Handels H.
Efficient patient modeling for visuo-haptic VR simulation using a generic patient atlas.
Computer methods and programs in biomedicine, 132, 161-75, 2016
Abstract
Mastmeyer A., Fortmeier D., Handels H.
Evaluation of Direct Haptic 4D Volume Rendering of Partially Segmented Data for Liver Puncture Simulation
Nature Scientific Reports, 7, 671,1-15, 2017
Mastmeyer A., Wilms M., Handels H.
Population-based Respiratory 4D Motion Atlas Construction and its Application for VR Simulations of Liver Punctures
In: Angelini E.D. (ed.), SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 1057417-1-1057417-7, 2018
Mastmeyer A., Wilms M., Handels H.
Populationsbasierte 4D Bewegungsatlanten für VR Simulationen
In: Maier A., Deserno T.M., Handels H., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 200, 2018
Mastmeyer A., Hecht T., Fortmeier D., Handels H.
Ray-Casting Based Evaluation Framework for Haptic Force Feedback during Percutaneous Transhepatic Catheter Drainage Punctures
International Journal of Computer Assisted Radiology and Surgery, 9, 3, 421-431, 2014
Mastmeyer A., Wilms M., Fortmeier D., Schröder J., Handels H.
Real-Time Ultrasound Simulation for Training of US-Guided Needle Insertion in Breathing Virtual Patients.
Studies in health technology and informatics, 220, 219-26, 2016
Abstract

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