E.-M. Brinkmann, M. Burger, JSG. Unified Models for Second-Order TV-Type Regularisation in Imaging – A New Perspective Based on Vector Operators. Journal of Mathematical Imaging and Vision, 2018. (article) (arXiv)

M. Benning, G. Gilboa, JSG, C.-B. Schönlieb. Learning Filter Functions in Regularisers by Minimising Quotients. In Scale Space and Variational Methods in Computer Vision, pages 511-523. Springer, 2017. (article) (arXiv)

J. Pike, P. Mascalchi, JSG, S. Reichelt. Event Driven Automated Microscopy. Applications in Cancer Research. Imaging & Microscopy, 2017. (article)

JSG, J.A. Harrington, S.B. Koh, J.A. Pike, A. Schreiner, M. Burger, C.-B. Schönlieb, S. Reichelt. Mathematical Imaging Methods for Mitosis Analysis in Live-Cell Phase Contrast Microscopy. Methods, 115: 91-99, 2017. Image Processing for Biologists. (article) (arXiv)

E.-M. Brinkmann, M. Burger, JG. Regularization with Sparse Vector Fields: From Image Compression to TV-Type Reconstruction. In Scale Space and Variational Methods in Computer Vision, pages 191-202. Springer, 2015. (article) (arXiv)


Mathematical Imaging Tools in Cancer Research – From Mitosis Analysis to Sparse Regularisation. PhD thesis, University of Cambridge, 2017. (repository)

Methods for Automatic Mitosis Detection and Tracking in Phase Contrast Images. Master’s thesis, Westfälische Wilhelms-Universität Münster, 2014. (html)

Segmentierung von 2D-Graustufenbildern mit Hilfe von homologischer Persistenz: verschiedene Methoden. Bachelor’s thesis, Westfälische Wilhelms-Universität Münster, 2011 (German). (html)

%d bloggers like this:
search previous next tag category expand menu location phone mail time cart zoom edit close