Deep-learning for medical data analysis

Univ. Pompeu Fabra Research topic: The main objective of this thesis proposal is the exploration of advanced statistical and machine learning techniques for the processing of Big Data in medicine in order to identify novel relevant information for improved understanding of pathophysiological processes. To this aim, the notions of hierarchy and abstraction of deep architectures (i.e., deep learning) will be investigated. The developed techniques will be mainly applied to the research fields in our group which are the neurosciences (study of neurodegeneration and neural development in infants) and cardiology (cardiac function analysis). The project will involve the collaboration with clinical partners. Host institution: The project will be conducted at the Department of Information & Communication Technologies of the Universitat Pompeu Fabra (UPF), Barcelona, Spain, within the Simbiosys group ( UPF…

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