Biography Simon Andermatt
Center for medical Image Analysis & Navigation (CIAN)
Department of Biomedical Engineering
University of Basel
4123 Allschwil, Switzerland
Tel: +41 61 207 54 16
While the main topic of his PhD studies is the automated segmentation of brain lesions in multiple sclerosis, he is interested in all possible applications of advanced machine learning and artificial intelligence in medicine. Current research interests include generative models, loosely-supervised pathology learning, landmark localization and tracking as well as automated 2d to 3d reconstruction using deep learning.
- Andermatt, S., Papadopoulou, A., Radue, E.-W., Sprenger, T., Cattin, P.: Tracking the Evolution of Cerebral Gadolinium-Enhancing Lesions to Persistent T1 Black Holes in Multiple Sclerosis: Validation of a Semiautomated Pipeline. Journal of Neuroimaging. (2017). (in press)
- Andermatt, S., Pezold, S., Cattin, P.: Multi-dimensional Gated Recurrent Units for the Segmentation of Biomedical 3D-Data. In: Carneiro, G., Mateus, D., Peter, L., Bradley, A., Tavares, J.M.R.S., Belagiannis, V., Papa, J.P., Nascimento, J.C., Loog, M., Lu, Z., Cardoso, J.S., and Cornebise, J. (eds.) Deep Learning and Data Labeling for Medical Applications. pp. 142–151. Springer International Publishing (2016).