The ANNIMAB-1 logo
ANNIMAB-1

 

an international conference on

 

Artificial Neural Networks In Medicine And Biology

 

Date:

Saturday May 13 to Tuesday May 16, 2000

 

Location:

Göteborg, Sweden

 

 

The ANNIMAB-1 conference has been successfully carried through. Please find the links to abstracts etc. to the left . Also note that the conference proceedings are available and may be ordered from us. This page will not be updated after June 5th, 2000. For more recent information, please check the links at the page header.

Contents

Invited Lectures

Scientific Program Committee

The Organisers

 

Following pages:

Detailed Program

Abstracts of Contributions

Sponsors

Proceedings


Conference Description

Artificial neural network (ANN) techniques are currently being used for many data analysis and modelling tasks in clinical medicine as well as in theoretical biology, and the possible applications of ANNs in these fields are countless. The aim of the ANNIMAB-1 conference was to summarise the state of the art, analyse the relations between ANN techniques and other available methods, and point to possible future biological and medical uses of ANNs. It had three main themes:

  1. Medical applications of artificial neural networks: for better diagnoses and predictions from clinical and laboratory data, in the analysis of ECG and EEG signals, in medical image analysis, for the handling of medical databases, etc.

  2. Uses of ANNs in biology outside clinical medicine: for example, in models of ecology and evolution, for data analysis in molecular biology and in models of animal and human nervous systems and their capabilities.

  3. Theoretical aspects: recent developments in learning algorithms, ANNs in relation to expert systems and traditional statistical procedures, possible roles of ANNs in the medical decision process, etc.

ANNIMAB-1 featured forty-two presentations of submitted papers organised into six oral sessions and a poster session. There were also nine invited papers presented by highly renowned authorities in the field, covering a broad range of issues in the theory of artificial neural networks and their application to medicine and biology.

In order to facilitate the participation of medical and biological scientists with only limited knowledge of ANN techniques, but also to introduce mathematicians and statisticians to the main medical and biological applications of ANNs, the first half-day of the conference offered a set of overview lectures, giving up-to-date information about ongoing research in these fields. The full text of the opening lecture can be found here (pdf).

The Proceedings of the ANNIMAB-1 conference are published in the series Perspectives in Neural Computing (Springer-Verlag London) and can be ordered separately.

ANNIMAB-1 was the first international conference having artificial neural networks in medicine and biology as its exclusive topic. Participation in the conference hence offered an unique opportunity to be informed of recent developments in this rapidly expanding field.

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Invited Lectures

Pierre Baldi, California Institute of Technology
Biological Applications of Artificial Neural Networks abstract
Protein ß-Sheet Partner Prediction by Neural Networks abstract

Gail Carpenter, Dept. of Cognitive and Neural Systems, Boston University
ART Neural Networks for Medical Data Analysis and Fast Distributed Learning abstract

Georg Dorffner, Dept. of Medical Cybernetics and Artifical Intelligence, University of Vienna
Modelling Uncertainty in Biomedical Applications of Neural Networks abstract

Richard Dybowski, Intensive Care Unit (Div. of Medicine), King's College, London
Neural Computation in Medicine: Perspectives and Prospects abstract

Wayne Getz, Div. of Insect Biology, Dept. of Environmental Sciences, Policy & Management, Univ. of California, Berkeley
Discriminating Gourmets, Lovers and Enophiles? Neural Nets Tell All About Locusts, Toads, and Roaches abstract

Teuvo Kohonen, Neural Networks Research Centre, Helsinki University of Technology
An Unsupervised Learning Method that Produces Organized Representations from Real Information abstract

Anders Lansner, Dept. of Numerical Analysis and Computing Science (NADA), Royal Institute of Technology, Stockholm
On Forgetful Attractor Network Memories abstract

Paulo Lisboa, School of Computing & Mathematical Sciences, Liverpool John Moores University
Outstanding Issues for Clinical Decision Support with Neural Networks abstract

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Scientific Program Committee

Dr. Rod Adams, Faculty of Information Sciences, University of Hertfordshire
Prof. Charles W. Anderson, Dept. of Computer Science, Colorado State University
Prof. Soren Brunak, Center for Biological Sequence Analysis, Dept. of Biotechnology, The Technical Univ. of Denmark
Dr. Bo Cartling, Department of Theoretical Physics, Royal Institute of Technology, Stockholm
Prof. Rich Caruana, School of Computer Science, Carnegie Mellon University, Pittsburgh
Dr. Richard Dybowski, Medical Informatics Laboratory, Department of Medicine, St Thomas' Hospital, London
Prof. Peter Erdi Department of Biophysics, KFKI Research Institute, Budapest
Prof. Laurene V. Fausett, Department of Mathematical Sciences, University of South Carolina Aiken
Prof. Bernard Fertil, INSERM U494 Imagerie Médicale Quantitative, Paris
Prof. Wulfram Gerstner, Swiss Federal Institute of Technology, Lausanne
Dr. Roy Goodacre, Institute of Biological Sciences, University of Wales
Prof. Stephen Grossberg, Department of Cognitive and Neural Systems, Boston University
Prof. Torgny Groth, BMSA, University Hospital, Uppsala
Prof. Juha Karhunen, Laboratory of Computer and Information Science, Helsinki University of Technology
Prof. Samuel Kaski, Neural Networks Research Centre, Helsinki University of Technology
Prof. Hans Knutsson Computer Vision Laboratory, Department of Electrical Engineering, Linköping University
Prof. Paulo Lisboa, School of Computing and Mathematical Sciences, Liverpool John Moores University
Prof. Giovanni Magenes, Dipartimento di Informatica eSistemistica, University of Pavia
Dr. Rainer Malaka, European Media Laboratory, Heidelberg
Dr. Hanspeter A. Mallot, Max-Planck-Institut fur biologische Kybernetik, Tübingen
Prof. Pietro G. Morasso, Dipartimento di Informatica, Sistemistica e Telematica (DIST), Università di Genova
Dr. Ian Nabney, Neural Computing Research Group, Aston University, Birmingham
Dr. Mattias Ohlsson, Department of Theoretical Physics, Lund University
Dr. Steve Phelps, Smithsonian Tropical Research Institute, Gamboa, Panama
Prof. Tomaso Poggio, Brain Sciences Department and Artificial Intelligence Lab, MIT
Prof. John G Taylor, Department of Mathematics, King's College, London

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The Organisers

The ANNIMAB-1 conference was arranged by the ANNIMAB Society (ANNIMAB-S), which is based at Göteborg University (GU) and is associated with several other groups working with biological or medical applications of neural networks. For further information about the conference and the Society, write to:

ANNIMAB-S
Dept. of Philosophy
Göteborg University
Box 200
SE-405 30 Göteborg
Sweden

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