Artificial Intelligence in Medicine, Volume 30

Volume 30, Number 1, January 2004

• Karl Boegl, Klaus-Peter Adlassnig, Yoichi Hayashi, Thomas E. Rothenfluh, Harald Leitich:
  Knowledge acquisition in the fuzzy knowledge representation framework of a medical consultation system. 1-26
  
• Celia C. Bojarczuk, Heitor S. Lopes, Alex Alves Freitas, Edson L. Michalkiewicz:
  A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets. 27-48
  
• Mattias Ohlsson:
  WeAidU - a decision support system for myocardial perfusion images using artificial neural networks. 49-60
  
• Paul S. Heckerling, Ben S. Gerber, Thomas G. Tape, Robert S. Wigton:
  Use of genetic algorithms for neural networks to predict community-acquired pneumonia. 71-84
  

Volume 30, Number 2, February 2004

• Michel Dojat:
  Artificial intelligence in neuroimaging: four challenges to improve interpretation of brain images. 91-95
  
• Alexei Manso Correa Machado, James C. Gee, Mario Fernando Montenegro Campos:
  Structural shape characterization via exploratory factor analysis. 97-118
  
• Vincent Labatut, Josette Pastor, Serge Ruff, Jean-François Démonet, Pierre Celsis:
  Cerebral modeling and dynamic Bayesian networks. 119-139
  
• Finn Årup Nielsen, Lars Kai Hansen:
  Finding related functional neuroimaging volumes. 141-151
  
• Nathalie Richard, Michel Dojat, Catherine Garbay:
  Automated segmentation of human brain MR images using a multi-agent approach. 153-176
  
• Jean-Francois Mangin, Denis Rivière, Olivier Coulon, Cyril Poupon, Arnaud Cachia, Yann Cointepas, Jean-Baptiste Poline, Denis Le Bihan, Jean Régis, Dimitri Papadopoulos-Orfanos:
  Coordinate-based versus structural approaches to brain image analysis. 177-197
  
• Matjaz Kukar:
  Erratum to "Transductive reliability estimation for medical diagnosis" [Artif. Intell. Med. 29: 81-106(2003)]. 199
  

Volume 30, Number 3, March 2004

• Peter J. F. Lucas, Linda C. van der Gaag, Ameen Abu-Hanna:
  Bayesian networks in biomedicine and health-care. 201-214
  
• Silvia Acid, Luis M. de Campos, Juan M. Fernández-Luna, Susana Rodríguez, José María Rodríguez, José Luis Salcedo:
  A comparison of learning algorithms for Bayesian networks: a case study based on data from an emergency medical service. 215-232
  
• Lise Getoor, Jeanne T. Rhee, Daphne Koller, Peter Small:
  Understanding tuberculosis epidemiology using structured statistical models. 233-256
  
• Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor:
  Using literature and data to learn Bayesian networks as clinical models of ovarian tumors. 257-281
  
• Nevin Lianwen Zhang, Thomas D. Nielsen, Finn Verner Jensen:
  Latent variable discovery in classification models. 283-299
  
• Boaz Lerner:
  Bayesian fluorescence in situ hybridisation signal classification. 301-316