Artificial Intelligence in Medicine, Volume 43

Volume 43, Number 1, May 2008

• Luca Ferrarini, Berit M. Verbist, Hans Olofsen, Filiep Vanpoucke, Johan H. M. Frijns, Johan H. C. Reiber, Faiza Admiraal-Behloul:
  Autonomous virtual mobile robot for three-dimensional medical image exploration: Application to micro-CT cochlear images. 1-15
  
• Susana B. Martins, Yuval Shahar, Dina Goren-Bar, Maya Galperin, Herbert Kaizer, Lawrence V. Basso, Deborah McNaughton, Mary K. Goldstein:
  Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data. 17-34
  
• David J. Miller, Carl A. Nelson, Dmitry Oleynikov, David D. Jones:
  Pre-operative ordering of minimally invasive surgical tools: A fuzzy inference system approach. 35-45
  
• Tudor Toma, Ameen Abu-Hanna, Robert-Jan Bosman:
  Discovery and integration of univariate patterns from daily individual organ-failure scores for intensive care mortality prediction. 47-60
  
• Michael C. Lee, Sarah J. Nelson:
  Supervised pattern recognition for the prediction of contrast-enhancement appearance in brain tumors from multivariate magnetic resonance imaging and spectroscopy. 61-74
  
• Javier Escudero, Roberto Hornero, Jesús Poza, Daniel E. Abásolo, Alberto Fernández:
  Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation. 75-85
  

Volume 43, Number 2, June 2008

• Loris Nanni, Alessandra Lumini:
  A reliable method for cell phenotype image classification. 87-97
  
• Lee Lancashire, Robert C. Rees, Graham R. Ball:
  Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach. 99-111
  
• Robert Cierniak:
  A 2D approach to tomographic image reconstruction using a Hopfield-type neural network. 113-125
  
• César A. Teixeira, M. Graça Ruano, António E. Ruano, Wagner Coelho A. Pereira:
  Neuro-genetic non-invasive temperature estimation: Intensity and spatial prediction. 127-139
  
• Bayram Akdemir, Sadik Kara, Kemal Polat, Aysegül Güven, Salih Günes:
  Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals. 141-149
  
• Yuriy V. Chesnokov:
  Complexity and spectral analysis of the heart rate variability dynamics for distant prediction of paroxysmal atrial fibrillation with artificial intelligence methods. 151-165
  

Volume 43, Number 3, July 2008

• Mare Remm, Kalle Remm:
  Case-based estimation of the risk of enterobiasis. 167-177
  
• Álvaro M. Silva, Paulo Cortez, Manuel Filipe Santos, Lopes Gomes, José Neves:
  Rating organ failure via adverse events using data mining in the intensive care unit. 179-193
  
• Sean N. Ghazavi, Thunshun W. Liao:
  Medical data mining by fuzzy modeling with selected features. 195-206
  
• Tuan Zea Tan, Chai Quek, Geok See Ng, Khalil Razvi:
  Ovarian cancer diagnosis with complementary learning fuzzy neural network. 207-222
  
• Cristian Munteanu, Francisco Cabrera Morales, Javier González Fernández, Agostinho C. Rosa, Luís Gómez Déniz:
  Enhancing obstetric and gynecology ultrasound images by adaptation of the speckle reducing anisotropic diffusion filter. 223-242
  
• Enrique J. Carmona, Mariano Rincón, Julián García-Feijoó, José M. Martínez-de-la-Casa:
  Identification of the optic nerve head with genetic algorithms. 243-259