L
Leonid Mill
Researcher at University of Erlangen-Nuremberg
Publications - 14
Citations - 354
Leonid Mill is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Iterative reconstruction & Computer science. The author has an hindex of 4, co-authored 12 publications receiving 170 citations. Previous affiliations of Leonid Mill include Max Planck Society.
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Journal ArticleDOI
Learning with Known Operators reduces Maximum Training Error Bounds.
Andreas Maier,Christopher Syben,Bernhard Stimpel,Tobias Würfl,Mathis Hoffmann,Frank Schebesch,Weilin Fu,Leonid Mill,Lasse Kling,Silke Christiansen +9 more
TL;DR: In this article, an approach for incorporating prior knowledge into machine learning algorithms is described. But this approach is aimed at applications in physics and signal processing in which we know that certain operations must be embedded into the algorithm.
Journal ArticleDOI
Critical Review of Processing and Classification Techniques for Images and Spectra in Microplastic Research.
Win Cowger,Andrew B. Gray,Silke Christiansen,Hannah DeFrond,Ashok D. Deshpande,Ludovic Hemabessiere,Eunah Lee,Leonid Mill,Keenan Munno,Barbara E. Ossmann,Marco Pittroff,Chelsea M. Rochman,George Sarau,Shannon Tarby,Sebastian Primpke +14 more
TL;DR: It is suggested that new and repurposed methods need to be developed for high throughput screening using a diversity of approaches and machine learning as one potential avenue toward this capability.
Journal ArticleDOI
Next-generation imaging of the skeletal system and its blood supply
Anika Grüneboom,Lasse Kling,Lasse Kling,Silke Christiansen,Silke Christiansen,Leonid Mill,Leonid Mill,Andreas Maier,Klaus Engelke,Harald H. Quick,Harald H. Quick,Georg Schett,Matthias Gunzer +12 more
TL;DR: Advanced imaging technologies and big data analysis now enable the unprecedented examination of bone and provide new insights into its 3D macrostructure and microstructure, which could provide the basis for early detection and precision-type intervention of bone disorders in the future.
Journal ArticleDOI
Learning with Known Operators reduces Maximum Training Error Bounds
Andreas Maier,Christopher Syben,Bernhard Stimpel,Tobias Würfl,Mathis Hoffmann,Frank Schebesch,Weilin Fu,Leonid Mill,Lasse Kling,Silke Christiansen +9 more
TL;DR: In this article, an approach for incorporating prior knowledge into machine learning algorithms is described. But this approach is aimed at applications in physics and signal processing in which we know that certain operations must be embedded into the algorithm.
Journal ArticleDOI
Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation
Leonid Mill,David Wolff,Nele Gerrits,Patrick Philipp,Lasse Kling,Florian Vollnhals,Andrew Ignatenko,Christian Jaremenko,Yixing Huang,Olivier De Castro,Jean-Nicolas Audinot,Inge Nelissen,Tom Wirtz,Andreas Maier,Silke Christiansen,Silke Christiansen +15 more
TL;DR: This study paves the way towards the use of deep learning for automated, high-throughput particle detection in a variety of imaging techniques such as microscopies and spectroscopies, for a wide variety of studies and applications, including the detection of plastic micro- and nanoparticles.