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:
- 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.
- 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.
- 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 
Protein ß-Sheet Partner Prediction by Neural
Networks
Gail
Carpenter, Dept. of Cognitive and Neural Systems, Boston University
ART Neural Networks for Medical Data Analysis and Fast
Distributed Learning
Georg
Dorffner, Dept. of Medical Cybernetics and Artifical Intelligence, University
of Vienna
Modelling Uncertainty in Biomedical Applications of
Neural Networks
Richard
Dybowski, Intensive Care Unit (Div. of Medicine), King's College, London
Neural Computation in Medicine: Perspectives and Prospects
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
Teuvo
Kohonen, Neural Networks Research Centre, Helsinki University of Technology
An Unsupervised Learning Method that Produces Organized
Representations from Real Information
Anders
Lansner, Dept. of Numerical Analysis and Computing Science (NADA), Royal
Institute of Technology, Stockholm
On Forgetful Attractor Network Memories
Paulo
Lisboa, School of Computing & Mathematical Sciences, Liverpool John
Moores University
Outstanding Issues for Clinical Decision Support with
Neural Networks
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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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