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ORCIDArtificial 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 - Gustavo Santos-García, Gonzalo Varela, Nuria Novoa, Marcelo F. Jiménez:
Prediction of postoperative morbidity after lung resection using an artificial neural network ensemble. 61-69 - 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 Corrêa 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-François 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
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