2-3 October 2017
Advances in imaging technology keep on revealing ever greater detail of phenomena and processes in living systems. The vast amount of image data which thus can be generated makes highly efficient methods mandatory for a variety of problems of mathematical or statistical nature. These may relate to the actual image acquisition or reconstruction by solving inverse problems. Others are centred around segmentation or pattern, texture, or shape recognition for effective description and possibly further exploitation. Problems may be also of system identification or optimisation type such as fitting biophysical models including uncertainty quantification. As varied is the available mathematical methodology ranging from variational continuum models to probabilistic approaches in a machine learning context.
The workshop's objective is to facilitate the interaction and discussion between researchers from the life sciences working with or on imaging technology, and mathematicians developing and analysing methodology in image analysis and processing.
Till Bretschneider (Systems Biology/Computer Science),
Michael Hintermüller (Humboldt University Berlin),
Carola-Bibiane Schönlieb (Cambridge),
Bjorn Stinner (Mathematics)
Rooms: Mon: B3.02 (Maths), Tue: A0.23 (Social Sciences)
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Mathematics Research Centre
University of Warwick
Coventry CV4 7AL - UK