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Codebook-based electrooculography data analysis towards cognitive activity recognition.
Computers in biology and medicine, 95, 277-287, 2018
Myocardial Strain Measurement – A Registrational Method with Block Matching Approach–
In: (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 195-198, 2016
CT Normalization by Paired Image-to-image Translation for Lung Emphysema Quantification
In: (eds.), Bildverarbeitung für die Medizin 2021, Wiesbaden, Informatik Aktuell, Springer Fachmedien Wiesbaden, 276-281, 2021
Occlusion Estimation in 3D Point Clouds using Visual Data from Home Care Scenarios
In: (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 185-188, 2018
Three-dimensional Surface Models of Detailed Lumbar Structures Made from the Visible Korean
In: 11th Joint Korea-Germany Workshop on Advanced Medical Image Processing, Incheon, Korea, 90-98, 2008
Analyse kleiner pigmentierter Hautläsionen für die Melanomfrüherkennung
In: (eds.), Bildverarbeitung für die Medizin 2003, Erlangen, Informatik aktuell, Springer Verlag, Berlin, 220-224, 2003
Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification
Sensors, 20, 15, 4271, 2020
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors.
Sensors (Basel, Switzerland), 18, 2, 2018
Transforming Nutrition Databases Towards Semantically Consistent Content Classification
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 147-150, 2020
The Capabilities of Artificial Neural Networks in Body Composition Research
Acta diabetologica, 40 Suppl 1, S9-14, 2003
Two Models for Outcome Prediction - a Comparison of Logistic Regression and Neural Networks
Methods of information in medicine, 45, 5, 536-40, 2006
Präoperative Planung von Primär- und Revisions-TEP-Operationen
In: 46. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Köln, Informatik, Biometrie und Epidemiologie, 32, 218, 2001
Microarray Data Classified by Artifical Neural Networks
In: (ed.), Microarrays, Methods in Molecular Biology, The Humana Press Inc., Totowa, NJ, USA, 345-372, 2007
Psychoakustische Skalierung akustischer Heiserkeitsparameter einschließlich GNE mittels Künstlicher Neuronaler Netze
In: (ed.), Aktuelle phoniatrisch-pädaudiologische Aspekte 2002/2003, Median-Verlag, Heidelberg, 85-89, 2002
Klassifikation von Signalen einer elektronischen Nase
Biomedizinische Technik / Biomedical Engineering, 45, 194-195, 2000
aXess: Ein Autorentool für die Pflege von XML-Content
In: 49. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V., Innsbruck/Tirol, Tagungsband, 3Seiten, 2004
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
Künstliche Neuronale Netze in der Medizin
Forum der Medizin-Dokumentation und Medizin-Informatik (mdi) , 5(4), 112-118, 2003
Speeding up Backpropagation Learning by the APROP Algorithm
In: Second International ICSC Symposium on Neural Computation, Berlin, Proceedings CD, 2000
Microarray Data classified by Artificial Neural Networks
Methods in molecular biology (Clifton, N.J.), 382, 345-72, 2007
ACMD: A Practical Tool for Automatic Neural Net Based Learning
In: (eds.), Second International Symposium on Medical Data Analysis (ISMDA), Madrid, Lecture Notes in Computer Science, Medical Data Analysis, Springer Berlin Heidelberg, 2199, 168-173, 2001
The 'Subsequent Artificial Neural Network' (SANN) Approach Might Bring More Classificatory Power to ANN-based DNA Microarray Analyses
Bioinformatics, 20, 18, 3544-3552, 2004
Dokumentation und Kommunikation im Gesundheitswesen: eine Einführung
E-Learning Modul im Vertiefungsbereich "Natur und Technik" des Diplomstudiengangs „Gesundheitswissenschaften“ der University of Applied Sciences sowie im Verbundprojekt „Hochschulen für Gesundheit“, University of Applied Sciences, Hamburg, 2003
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
Food Quality Assurance Applying a Sophisticated Neural Network to Olfactory Signals
In: 6th Sensometrics, Dortmund, Tagungsband, 2002
Generation of classification criteria for chronic fatigue syndrome using an artificial neural network and traditional criteria set.
In vivo (Athens, Greece), 16, 1, 37-43, 2002
An Artificial Neural Network Is Capable of Predicting Odour Intensity
Pol J Environ Stud, 14(4), 477-481, 2005
Backprop, RPROP, APROP: Searching for the best learning rule for an electronic nose
In: Fourth International Workshop 1999, Magdeburg, Neural Networks in Applications '99, 69-74, 1999
UNHS-SH: ein multidisziplinärer Ansatz für das Neugeborenenhörscreening in Schleswig-Holstein. Aktuelle phoniatrisch-pädaudiologische Aspekte
In: 22. Wissenschaftliche Jahrestagung der Deutschen Gesellschaft für Phoniatrie und Pädaudiologie, 2005
Use of an artificial neural network to predict cancer development in patients with inflammatory myopathy: comment on the letter by Selva O'Callaghan et al.
Arthritis and rheumatism, 48, 4, 1168-9;authorreply1169-70, 2003
How to Automate Neural Net Based Learning
In: (ed.), Second International Workshop MLDM 2001, Leipzig, Lecture Notes in Computer Science, Machine Learning and Data Mining in Pattern Recognition, Springer Berlin Heidelberg, 2123, 206-216, 2001
A new neural network approach classifies olfactory signals with high accuracy
Food Quality and Preference, 14, 5-6, 435-440, 2003
Predicting Intracellular Water Compartment for Healthy Italiens Using Artificial Neural Network Analysis
In: Sixth International Symposium “In Vivo Body Composition Studies”, Rome, Italy, Acta Diabetologica, 39, 137, 2002
Artificial Neural Networks for Classifying Olfactory Signals
Studies in health technology and informatics, 77, 1220-5, 2000
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
Artificial neural networks, classification trees and regression: Which method for which customer?
Database Marketing & Customer Strategy Management, 11(4), 344-356, 2004
Optimierung der Konvergenzgeschwindigkeit von Backpropagation
In: 20. DAGM Symposium, Stuttgart, Springer, Berlin u.a., 175-182, 1998
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
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
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
SKAML: An XML Markup Language for Abstract Skeleton Definitions in the Context of Human Posture Assessments
In: Medical Informatics Europe, Gothenburg, Sweden, 2018
An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor
Health and Technology, 161-173, 2022