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ANNIMAB-1 Contributions
Clinical
Diagnosis and Medical Decision Support ![]()
Learning
Methods and Hybrid Algorithms ![]()
Invited Presentations
Biological
Applications of Artificial Neural Networks ![]()
P. Baldi
Protein
ß-Sheet Partner Prediction by Neural Networks ![]()
P. Baldi, G. Pollastri, C. A. F. Andersen, S. Brunak
ART
Neural Networks for Medical Data Analysis and Fast Distributed Learning
G. A. Carpenter, B. L. Milenova
Modelling
Uncertainty in Biomedical Applications of Neural Networks ![]()
G. Dorffner, P. Sykacek, C. C. Schittenkopf
Neural
Computation in Medicine: Perspectives and Prospects
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R. Dybowski
Discriminating
Gourmets, Lovers and Enophiles? Neural Nets Tell All About Locusts, Toads, and
Roaches
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W. M. Getz, W. C. Lemon
An
Unsupervised Learning Method that Produces Organized Representations from Real
Information
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T. Kohonen
On
Forgetful Attractor Network Memories
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A. Lansner, A. Sandberg, K. M. Petersson, M. Ingvar
Outstanding
Issues for Clinical Decision Support with Neural Networks
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P. J. G. Lisboa, A. Vellido, H. Wong
Medical Image Analysis
Cancerous
Liver Tissue Differentiation Using LVQ
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K.-S. Cheng, R. Sun, N.-H. Chow
Quantification
of Diabetic Retinopathy Using Neural Networks and Sensitivity Analysis
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A. Hunter, J. Lowell, J. Owens, L. Kennedy, D. Steele
Internet
Based Artificial Neural Networks for the Interpretation of Medical Images
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A. Järund, L. Edenbrandt, M. Ohlsson, E. Borälv
Segmentation
of Magnetic Resonance Images According to Contrast Agent Uptake Kinetics Using
a Competitive Neural Network
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R. J. Maxwell, J. Wilson, G. M. Tozer, P. R. Barber, B. Vojnovic
Applications
of Optimizing Neural Networks in Medical Image Registration
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A. Rangarajan, H. Chui
A
Learning by Sample Approach for the Detection of Features in Medical Images
C. Serruys, D. Brahmi, A. Giron, N. Cassoux, R. Triller, P. Le Huang, B. Fertil
Neural
Network Based Classification of Cell Images via Estimation of Fractal Dimensions
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C. Shang, C. Daly, J. McGrath, J. Barker
Signal Processing in Medicine
Mutual
Control Neural Networks for Sleep Arousal Detection
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T. Assimakopoulos, K. Dingli, N. J. Douglas
Extraction
of Sleep-Spindles from the Electroencephalogram (EEG)
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A. K. Barros, R. Rosipal, M. Girolami, G. Dorffner, N. Ohnishi
Analyzing
Brain Tumor Related EEG Signals with ICA Algorithms
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M. Habl, Ch. Bauer, Ch. Ziegaus, E. W. Lang, F. Schulmeyer
Isolating
Seizure Activity in the EEG with Independent Component Analysis
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C. James, D. Lowe
Seizure
Detection with the Self-Organising Feature Map
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C. James, K. Kobayashi, J. Gotman
Graphical
Analysis of Respiration in Postoperative Patients Using Self Organising Maps
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M. Steuer, P. Caleb, P. K. Sharpe, G. B. Drummond, A. M. S. Black
Clinical Diagnosis and Medical Decision Support
Neural
Network Predictions of Outcome from Posteroventral Pallidotomy
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J. E. Arle, R. Alterman
Survival
Analysis: A Neural-Bayesian Approach
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B. J. Bakker, B. Kappen, T. Heskes
Identifying
Discriminant Features in the Histopathology Diagnosis of Inflammatory Bowel
Disease using a Novel Variant of the Growing Cell Structure Network Technique
S. S. Cross, A. J. Walker, R. F. Harrison
Classifying
Pigmented Skin Lesions with Machine Learning Methods
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S. Dreiseitl, H. Kittler, H. Ganster, M. Binder
An
Assessment System of Dementia of Alzheimer Type Using Artificial Neural Networks
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S. Hibino, T. Hanai, E. Nagata, M. Matsubara, K. Fukagawa, T. Shirataki, H.
Honda, T. Kobayashi
A
New Artificial Neural Network Method for the Interpretation of ECGs
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H. Holst, L. Edenbrandt, M. Ohlsson, H. Öhlin
Use
of a Kohonen Neural Network to Characterize Respiratory Patients for Medical
Intervention
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A. A. Kramer, D. Lee, R. C. Axelrod
Determination
of Microalbuminuria and Increased Urine Albumin Excretion by Immunoturbidimetric
Assay and Neural Networks
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B. Molnar, R. Schaefer
Artificial
Neural Networks to Predict Postoperative Nausea and Vomiting
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A. Nawroth, R. Malaka, L. H. J. Eberhart
Acute
Myocardial Infarction: Analysis of the ECG Using Artificial Neural Networks
M. Ohlsson, H. Holst, L. Edenbrandt
Bayesian
Neural Networks Used to Find Adverse Drug Combinations and Drug Related Syndromes
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R. Orre, A. Bate, M. Lindquist
Monitoring
of Physiological Parameters of Patients and Therapists During Psychotherapy
Sessions Using Self-Organizing Maps ![]()
T. Villmann, B. Badel, D. Kämpf, M. Geyer
Biomolecular Applications
A
Hybrid Classification Tree and Artificial Neural Network Model for Predicting
the In Vitro Response of the Human Immunodeficiency Virus (HIV1) to Anti-Viral
Drug Therapy ![]()
W. R. Danter, D. B. Gregson, K. A. Ferguson, M. R. Danter, J. Bend
On
Methods for Combination of Results from Gene-Finding Programs for Improved Prediction
Accuracy
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C. Hammar, D. Lundh
A
General Method for Combining Predictors Tested on Protein Secondary Structure
Prediction
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J. V. Hansen, A. Krogh
Self-Organizing
Networks for Mapping and Clustering Biological Macromolecules Images
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A. Pascual, M. Barcena, J. J. Merelo, J.-M. Carazo
Prediction
of Photosensitizers Activity in Photodynamic Therapy Using Artificial Neural
Networks: A 3D-QSAR Study
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R. Vanyúr, K. Héberger, I. Kövesdi, J. Jakus
Biological Modelling
Neuronal
Network Modelling of the Somatosensory Pathway and its Application to General
Anaesthesia
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A. Angel, D. A. Linkens, C. H. Ting
Neural
Unit Sensitive to Modulation
![]()
A. Gorchetchnikov, A. Cripps
A
Simulation Model for Activated Sludge Process Using Fuzzy Neural Networks
T. Hanai, S. Tomida, H. Honda, T. Kobayashi
A
Three-Neuron Model of Information Processing During Bayesian Foraging
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N. M. A. Holmgren, O. Olsson
Sensorimotor
Sequential Learning by a Neural Network Based on Redefined Hebbian Learning
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K. T. Kalveram
On
Synaptic Plasticity: Modelling Molecular Kinases Involved in Transmitter Release
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D. Lundh, A. Narayanan
Neural
Network Model for Muscle Force Control Based on the Size Principle and Recurrent
Inhibiton of Renshaw Cells ![]()
T. Uchiyama, K. Akazawa
Learning Methods and Hybrid Algorithms
Case-Based
Explanation for Artificial Neural Nets
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R. Caruana
Double
Growing Neural Gas for Disease Diagnosis
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G. Cheng, A. Zell
Kernel
PCA Feature Extraction of Event-Related Potentials for Human Signal Detection
Performance
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R. Rosipal, M. Girolami, L. J. Trejo
The
Use of a Knowledge Discovery Method for the Development of a Multi-Layer Perceptron
Network that Classifies Low Back Pain Patients
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M. L. Vaughn, S. J. Cavill, S. J. Taylor, M. A. Foy, A. J. B. Fogg
Particle
Swarm Optimisation in Feedforward Neural Networks
C. Zhang, H. Shao
| ANNIMAB Main Page | The ANNIMAB1 Conference | The ANNIMAB Society | Projects in Göteborg | ANN in Medicine World Map | Other Relevant Links |