ANNIMAB-1 Detailed Program

ANNIMAB-1 Detailed Program

Saturday, May 13

12.00	Welcome Address and Opening Lecture Introduction to Artificial Neural Networks in Biology and Medicine H. Malmgren
13.00	Lunch
14.15	Overview and Update Neural Computation in Medicine: Perspectives and Prospects R. Dybowski
15.15	Pause
15.45	Overview and Update Biological Applications of Artificial Neural Networks P. Baldi
16.45	Pause
17.15	Keynote Speech An Unsupervised Learning Method that Produces Organized Representations from Real Information T. Kohonen
18.00	Welcome Party

Sunday, May 14

9.00	Keynote Speech Modelling Uncertainty in Biomedical Applications of Neural Networks G. Dorffner, P. Sykacek, C. C. Schittenkopf
9.45	Pause
	Oral Session: Medical Image Analysis
10.00	1. Cancerous Liver Tissue Differentiation Using LVQ K.-S. Cheng, R. Sun, N.-H. Chow
10.25	2. Quantification of Diabetic Retinopathy Using Neural Networks and Sensitivity Analysis A. Hunter, J. Lowell, J. Owens, L. Kennedy, D. Steele
10.50	3. Applications of Optimizing Neural Networks in Medical Image Registration A. Rangarajan, H. Chui
11.15	Pause
11.40	4. 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
12.05	5. Neural Network Based Classification of Cell Images via Estimation of Fractal Dimensions C. Shang, C. Daly, J. McGrath, J. Barker
12.30	Lunch
13.45	Keynote Speech Protein ß-Sheet Partner Prediction by Neural Networks P. Baldi, G. Pollastri, C. A. F. Andersen, S. Brunak
14.30	Pause
	Oral Session: Medical Signal Processing
14.45	1. Mutual Control Neural Networks for Sleep Arousal Detection T. Assimakopoulos, K. Dingli, N. J. Douglas
15.10	2. Extraction of Sleep-Spindles from the Electroencephalogram (EEG) A. K. Barros, R. Rosipal, M. Girolami, G. Dorffner, N. Ohnishi
15.35	Pause
16.00	3. Isolating Seizure Activity in the EEG with Independent Component Analysis C. James, D. Lowe
16.25	4. Graphical Analysis of Respiration in Postoperative Patients Using Self Organising Maps M. Steuer, P. Caleb, P. K. Sharpe, G. B. Drummond, A. M. S. Black
16.50	Pause
	Oral Session: Biomolecular Applications
17.05	1. 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
17.30	2. A General Method for Combining Predictors Tested on Protein Secondary Structure Prediction J. V. Hansen, A. Krogh
17.55	3. Prediction of Photosensitizers Activity in Photodynamic Therapy Using Artificial Neural Networks: A 3D-QSAR Study R. Vanyúr, K. Héberger, I. Kövesdi, J. Jakus
18.20	Pause
18.30	Buffet Dinner
Poster Session: Medical Image Analysis
1.	Internet Based Artificial Neural Networks for the Interpretation of Medical Images A. Järund, L. Edenbrandt, M. Ohlsson, E. Borälv
2.	Segmentation of Magnetic Resonance Images According to Contrast Agent Uptake Kinetics Using a Competitive Neural Network R. J. Maxwell, J. Wilson, G. M. Tozer, P. R. Barber, B. Vojnovic
Poster Session: Signal Processing in Medicine
1.	Analyzing Brain Tumor Related EEG Signals with ICA Algorithms M. Habl, Ch. Bauer, Ch. Ziegaus, E. W. Lang, F. Schulmeyer
2.	Seizure Detection with the Self-Organising Feature Map C. James, K. Kobayashi, J. Gotman
Poster Session: Clinical Applications
1.	Neural Network Predictions of Outcome from Posteroventral Pallidotomy J. E. Arle, R. Alterman
2.	An Assessment System of Dementia of Alzheimer Type Using Artificial Neural Networks S. Hibino, T. Hanai, E. Nagata, M. Matsubara, K. Fukagawa, T. Shirataki, H. Honda, T. Kobayashi
3.	A New Artificial Neural Network Method for the Interpretation of ECGs H. Holst, L. Edenbrandt, M. Ohlsson, H. Öhlin
4.	Use of a Kohonen Neural Network to Characterize Respiratory Patients for Medical Intervention A. A. Kramer, D. Lee, R. C. Axelrod
5.	Determination of Microalbuminuria and Increased Urine Albumin Excretion by Immunoturbidimetric Assay and Neural Networks B. Molnar, R. Schaefer
6.	Bayesian Neural Networks Used to Find Adverse Drug Combinations and Drug Related Syndromes R. Orre, A. Bate, M. Lindquist
Poster Session: Biomolecular Applications
1.	On Methods for Combination of Results from Gene-Finding Programs for Improved Prediction Accuracy C. Hammar, D. Lundh
2.	Self-Organizing Networks for Mapping and Clustering Biological Macromolecules Images A. Pascual, M. Barcena, J. J. Merelo, J.-M. Carazo
Poster Session: Biological Modelling
1.	Neural Unit Sensitive to Modulation A. Gorchetchnikov, A. Cripps
2.	A Simulation Model for Activated Sludge Process Using Fuzzy Neural Networks T. Hanai, S. Tomida, H. Honda, T. Kobayashi
3.	Sensorimotor Sequential Learning by a Neural Network Based on Redefined Hebbian Learning K. T. Kalveram
4.	Neural Network Model for Muscle Force Control Based on the Size Principle and Recurrent Inhibiton of Renshaw Cells T. Uchiyama, K. Akazawa
Poster Session: Learning Methods & Hybrid Algorithms
1.	Particle Swarm Optimisation in Feedforward Neural Networks C. Zhang, H. Shao

Monday, May 15

9.00	Keynote Speech ART Neural Networks for Medical Data Analysis and Fast Distributed Learning G. A. Carpenter, B. L. Milenova
9.45	Pause
	Oral Session: Clinical Applications
10.00	1. Survival Analysis: A Neural-Bayesian Approach B. J. Bakker, B. Kappen, T. Heskes
10.25	2. 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
10.50	3. Classifying Pigmented Skin Lesions with Machine Learning Methods S. Dreiseitl, H. Kittler, H. Ganster, M. Binder
11.15	Pause
11.30	4. Artificial Neural Networks to Predict Postoperative Nausea and Vomiting A. Nawroth, R. Malaka, L. H. J. Eberhart
11.55	5. Acute Myocardial Infarction: Analysis of the ECG Using Artificial Neural Networks M. Ohlsson, H. Holst, L. Edenbrandt
12.20	6. Monitoring of Physiological Parameters of Patients and Therapists During Psychotherapy Sessions Using Self-Organizing Maps T. Villmann, B. Badel, D. Kämpf, M. Geyer
12.45	Lunch
14.00	Keynote Speech On Forgetful Attractor Network Memories A. Lansner, A. Sandberg, K. M. Petersson, M. Ingvar
14.45	Pause
	Oral Session: Biological Modelling
15.00	1. Neuronal Network Modelling of the Somatosensory Pathway and its Application to General Anaesthesia A. Angel, D. A. Linkens, C. H. Ting
15.25	2. A Three-Neuron Model of Information Processing During Bayesian Foraging N. M. A. Holmgren, O. Olsson
15.50	3. On Synaptic Plasticity: Modelling Molecular Kinases Involved in Transmitter Release D. Lundh, A. Narayanan
16.15	Pause
18.00	Steamboat trip to Marstrand with Conference Dinner

Tuesday, May 16

9.00	Keynote Speech Discriminating Gourmets, Lovers, and Enophiles? Neural Nets Tell All About Locusts, Toads, and Roaches W. M. Getz, W. C. Lemon
9.45	Pause
	Oral Session: Learning Methods & Hybrid Algorithms
10.00	1. Case-Based Explanation for Artificial Neural Nets R. Caruana
10.25	2. Double Growing Neural Gas for Disease Diagnosis G. Cheng, A. Zell
10.50	Pause
11.15	3. Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance R. Rosipal, M. Girolami, L. J. Trejo
11.40	4. The Use of a Knowledge Discovery Method for the Development of a Multi-Layer Perceptron Network that Classifies Low Back Pain Patients M. L. Vaughn, S. J. Cavill, S. J. Taylor, M. A. Foy, A. J. B. Fogg
12.05	Pause
12.15	Summing up Outstanding Issues for Clinical Decision Support with Neural Networks P. J. G. Lisboa, A. Vellido, H. Wong
13.00	Lunch & Closing Remarks

ANNIMAB Main Page

The ANNIMAB–1 Conference

The ANNIMAB Society

Projects in Göteborg

ANN in Medicine World Map