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ORCIDANNIMAB 2000: Göteborg, Sweden
- Helge Malmgren, Magnus Borga, Lars Niklasson:
Artificial Neural Networks in Medicine and Biology, Proceedings of the ANNIMAB-1 Conference, Göteborg, Sweden, 13-16 May 2000. Perspectives in Neural Computing, Springer 2000, ISBN 978-1-85233-289-1 - Pierre Baldi, Gianluca Pollastri
, Claus A. F. Andersen, Søren Brunak:
Protein β-Sheet Partner Prediction by Neural Networks. 3-9 - Gail A. Carpenter, Boriana L. Milenova:
ART Neural Networks for Medical Data Analysis and Fast Distributed Learning. 10-17 - Georg Dorffner, Peter Sykacek, Christian Schittenkopf:
Modelling Uncertainty in Biomedical Applications of Neural Networks. 18-25 - Richard Dybowski:
Neural Computation in Medicine: Perspectives and Prospects. 26-36 - Wayne M. Getz, William C. Lemon:
Discriminating Gourmets, Lovers, and Enophiles? Neural Nets Tell All About Locusts, Toads, and Roaches. 37-44 - Teuvo Kohonen:
An Unsupervised Learning Method that Produces Organized Representations from Real Information. 45-53 - Anders Lansner, Anders Sandberg, Karl Magnus Petersson, Martin Ingvar:
On Forgetful Attractor Network Memories. 54-62 - Paulo J. G. Lisboa, Alfredo Vellido, H. Wong:
Outstanding Issues for Clinical Decision Support with Neural Networks. 63-71 - Kuo-Sheng Cheng, Richard Sun, Nan-Haw Chow:
Cancerous Liver Tissue Differentiation Using LVQ. 75-80 - Andrew Hunter, James Lowell, Jonathan D. Owens, Lee Kennedy, David Steele:
Quantification of Diabetic Retinopathy using Neural Networks and Sensitivity Analysis. 81-86 - Andreas Järund, Lars Edenbrandt, Mattias Ohlsson, Erik Borälv:
Internet Based Artificial Neural Networks for the Interpretation of Medical Images. 87-92 - Ross J. Maxwell, John Wilson, Gillian M. Tozer, Paul R. Barber, Borivoj Vojnovic:
Segmentation of Magnetic Resonance Images According to Contrast Agent Uptake Kinetics Using a Competitive Neural Network. 93-98 - Anand Rangarajan, Haili Chui:
Applications of Optimizing Neural Networks in Medical Image Registration. 99-104 - Camille Serruys, Djamel Brahmi, Alain Giron, Nathalie Cassoux, Raoul Triller, Phuc Le Huang, Bernard Fertil:
A Learning by Sample Approach for the Detection of Features in Medical Images. 105-110 - Changjing Shang, Craig Daly, John McGrath, John Barker:
Neural Network Based Classification of Cell Images via Estimation of Fractal Dimensions. 111-116 - Theodoras Assimakopoulos, Kyra Dingli, Neil J. Douglas:
Mutual Control Neural Networks for Sleep Arousal Detection. 119-124 - Allan Kardec Barros, Roman Rosipal, Mark A. Girolami, Georg Dorffner, Noboru Ohnishi:
Extraction of Sleep-Spindles from the Electroencephalogram (EEG). 125-130 - M. Habl, Christoph Bauer, Christian Ziegaus, Elmar Wolfgang Lang, F. Schulmeyer:
Analyzing Brain Tumor related EEG Signals with ICA Algorithms. 131-136 - Christopher J. James, David Lowe:
Isolating Seizure Activity in the EEG with Independent Component Analysis. 137-142 - Christopher James, Katsuhiro Kobayashi, Jean Gotman:
Seizure Detection with the Self-Organising Feature Map. 143-148 - Michal Steuer, P. Caleb, Peter K. Sharpe, G. B. Drummond, A. M. S. Black:
Graphical Analysis of Respiration in Postoperative Patients Using Self Organising Maps. 149-154 - Jeffrey E. Arle, Ron Alterman:
Neural Network Predictions of Outcome from Posteroventral Pallidotomy. 157-161 - Bart J. Bakker, Bert Kappen, Tom Heskes:
Survival Analysis: A Neural-Bayesian Approach. 162-167 - Simon S. Cross, Andrew J. Walker, Robert F. Harrison:
Identifying Discriminant Features in the Histopathology Diagnosis of Inflammatory Bowel Disease Using a Novel Variant of the Growing Cell Structure Network Technique. 168-173 - Stephan Dreiseitl, Harald Kittler, Harald Ganster, Michael Binder:
Classifying Pigmented Skin Lesions with Machine Learning Methods. 174-179 - Shin Hibino, Taizo Hanai, Erika Nagata, Michitaka Matsubara, Kazutoshi Fukagawa, Tatsuaki Shirataki, Hiroyuki Honda, Takeshi Kobayashi:
An Assessment System of Dementia of Alzheimer Type Using Artificial Neural Networks. 180-185 - Holger Holst, Lars Edenbrandt, Mattias Ohlsson, Hans Öhlin:
A New Artificial Neural Network Method for the Interpretation of ECGs. 186-191 - Andrew A. Kramer, Diane Lee, Randy C. Axelrod:
Use of a Kohonen Neural Network to Characterize Respiratory Patients for Medical Intervention. 192-196 - Béla Molnár, Rainer Schaefer:
Determination of Microalbuminuria and Increased Urine Albumin Excretion by Immunoturbidimetric Assay and Neural Networks. 197-202 - Andreas Nawroth, Rainer Malaka, Leopold H. J. Eberhart:
Artificial Neural Networks to Predict Postoperative Nausea and Vomiting. 203-208 - Mattias Ohlsson, Holger Holst, Lars Edenbrandt:
Acute Myocardial Infarction: Analysis of the ECG Using Artificial Neural Networks. 209-214 - Roland Orre, Andrew Bate, Marie Lindquist:
Bayesian Neural Networks used to Find Adverse Drug Combinations and Drug Related Syndromes. 215-220 - Thomas Villmann, Bernhard Badel, Daniel Kämpf, Michael Geyer:
Monitoring of Physiological Parameters of Patients and Therapists During Psychotherapy Sessions Using Self-Organizing Maps. 221-226 - A. Angel, Derek A. Linkens, Ching-Hua Ting:
Neuronal Network Modelling of the Somatosensory Pathway and its Application to General Anaesthesia. 229-234 - W. R. Danter, D. Gregson, K. A Ferguson, M. R. Danter, J. Bend:
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. 235-240 - Anatoli Gorchetchnikov, Al Cripps:
Neural Unit Sensitive to Modulation. 241-246 - Cecilia Hammar, Dan Lundh:
On Methods for Combination of Results from Gene-Finding Programs for Improved Prediction Accuracy. 247-252 - Taizo Hanai, Shuta Tomida, Hiroyuki Honda, Takeshi Kobayashi:
A Simulation Model for Activated Sludge Process Using Fuzzy Neural Network. 253-258 - Jakob V. Hansen, Anders Krogh:
A General Method for Combining Predictors Tested on Protein Secondary Structure Prediction. 259-264 - Noél M. A. Holmgren, Ola Olsson:
A Three-Neuron Model of Information Processing During Bayesian Foraging. 265-270 - Karl-Theodor Kalveram:
Sensorimotor Sequential Learning by a Neural Network Based on Redefined Hebbian Learning. 271-276 - Dan Lundh, Ajit Narayanan:
On Synaptic Plasticity: Modelling Molecular Kinases involved in Transmitter Release. 277-282 - Alberto Pascual, Montserrat Barcéna, Juan Julián Merelo Guervós, José María Carazo:
Self-Organizing Networks for Mapping and Clustering Biological Macromolecules Images. 283-288 - Takanori Uchiyama, Kenzo Akazawa:
Neural Network Model for Muscle Force Control Based on the Size Principle and Recurrent Inhibition of Renshaw Cells. 289-294 - Rozália Vanyúr, Károly Héberger, István Kövesdi, Judit Jakus:
Prediction of Photosensitizers Activity in Photodynamic Therapy Using Artificial Neural Networks: A 3D - QSAR Study. 295-300 - Rich Caruana:
Case-Based Explanation for Artificial Neural Nets. 303-308 - Guojian Cheng, Andreas Zell:
Double Growing Neural Gas for Disease Diagnosis. 309-314 - Marylin L. Vaughn, Steven J. Cavill, Stewart J. Taylor, Michael A. Foy, Anthony J. B. Fogg:
The Use of a Knowledge Discovery Method for the Development of a Multi-layer Perceptron Network that Classifies Low Back Pain Patients. 315-320 - Roman Rosipal, Mark A. Girolami, Leonard J. Trejo:
Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance. 321-326 - Chunkai Zhang, Huihe Shao:
Particle Swarm Optimisation in Feedforward Neural Network. 327-332
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