Connectionists: ML for medical applications at ESANN'16

[Beatriz Remeseiro López]

[Apologies if you receive multiple copies of this CFP] 


Call for papers: special session on "Machine learning for medical applications" at ESANN 2016 


European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016) 

27-29 April 2016, Bruges (Belgium) - http://www.esann.org 


Machine learning for medical applications 

Organized by Verónica Bolón-Canedo , Amparo Alonso-Betanzos , Universidade da Coruña (Spain), Beatriz Remeseiro , INESC Technology and Science, Aurélio Campilho , Universidade do Porto (Portugal ) 



Machine learning has been an active research area in the last decades finding success in many different applications, among them in medical problems. Machine learning is capable of automating manual processes carried out by practitioners, which are usually time-consuming and subjective. Therefore, the use of machine learning can save time for practitioners and provide unbiased, repeatable results. Additionally, the large dimensionality of data in medicine together with the common reduced sample size of pathological cases makes indispensable the use of advanced machine learning techniques for clinical interpretation and analysis. 

This special session is concerned with using different machine learning techniques or approaches in medical applications. Furthermore, it also aims to offer a meeting opportunity for academics and clinical researchers to present their cutting-edge methods to deal with medical problems and to discuss the new challenges that need to be faced. 




We invite papers on machine learning approaches applied to medical problems. In particular, topics of interest include, but are not limited to: 

    * Artificial intelligence in medicine 
    * Clinical interpretation and analysis 
    * Computer-aided detection and diagnosis 
    * Physiological signal analysis 
    * Medical image analysis 
    * Content-based image retrieval 
    * Feature selection and extraction in medicine 
    * Pattern recognition in medicine 
    * Big data in healthcare 
    * Learning in uncertainty labeled data 
    * Bioinformatics and microarray analysis 

Submitted papers will be reviewed according to the ESANN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style. 








IMPORTANT DATES: 




Paper submission deadline : 20 November 2015 

Notification of acceptance : 31 January 2016 

ESANN conference : 27-29 April 2016 



-- 

Beatriz Remeseiro, Ph.D. 
INESC Technology and Science 

email: bremeseiro(at)fe.up.pt 
url: http://www.varpa.org/~bearm 

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