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]
@inproceedings{FresacherRKEIHL23,
title = {Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging},
author = {David Elias Fresacher and Stefan Röhrl and Christian Klenk and Johanna Erber and Hedwig Irl and Dominik Heim and Manuel Lengl and Simon Schumann and Martin Knopp and Martin Schlegel and Sebastian Rasch and Oliver Hayden and Klaus Diepold},
year = {2023},
url = {https://proceedings.mlr.press/v219/fresacher23a.html},
researchr = {https://researchr.org/publication/FresacherRKEIHL23},
cites = {0},
citedby = {0},
pages = {208-229},
booktitle = {Machine Learning for Healthcare Conference, MLHC 2023, 11-12 August 2023, New York, USA},
editor = {Kaivalya Deshpande and Madalina Fiterau and Shalmali Joshi and Zachary C. Lipton and Rajesh Ranganath and Iñigo Urteaga and Serene Yeung},
volume = {219},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}