Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging - researchr publication authors

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David Elias Fresacher, Stefan Röhrl, Christian Klenk, Johanna Erber, Hedwig Irl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Martin Schlegel, Sebastian Rasch, Oliver Hayden, Klaus Diepold. Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging. In Kaivalya Deshpande, Madalina Fiterau, Shalmali Joshi, Zachary C. Lipton, Rajesh Ranganath, Iñigo Urteaga, Serene Yeung, editors, Machine Learning for Healthcare Conference, MLHC 2023, 11-12 August 2023, New York, USA. Volume 219 of Proceedings of Machine Learning Research, pages 208-229, PMLR, 2023. [doi]

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