Dr. Lukas Lichtensteiger
Dr. Lukas Lichtensteiger
ZHAW
School of Engineering
Medical Complex Systems
Technikumstrasse 9
8400 Winterthur
Projects
- ACTS - Agroforestry Carbon Token System / Team member / Project ongoing
- AC3T – AI powered CBCT for improved Combination Cancer Therapy / Deputy project leader / Project ongoing
- SpaceVote / Project leader / Project completed
- Neurological ICU Data / Team member / Project completed
- Decentralized financing of Fairtrade producers using a blockchain-based solution / Team member / Project completed
- DIR3CT: Deep Image Reconstruction through X-Ray Projection-based 3D Learning of Computed Tomography Volumes / Team member / Project completed
- Data Driven Medical muscle Training / Deputy project leader / Project completed
- Libra: A One-Tool Solution for MLD4 Compliance / Team member / Project completed
- Complexity 4.0 / / Project completed
- New sensor and actuator technologies for robots / Project leader / Project completed
Publications
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Amirian, Mohammadreza; Montoya-Zegarra, Javier A.; Herzig, Ivo; Eggenberger Hotz, Peter; Lichtensteiger, Lukas; Morf, Marco; Züst, Alexander; Paysan, Pascal; Peterlik, Igor; Scheib, Stefan; Füchslin, Rudolf Marcel; Stadelmann, Thilo; Schilling, Frank-Peter,
2023.
Medical Physics.
50(10), pp. 6228-6242.
Available from: https://doi.org/10.1002/mp.16405
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Füchslin, Rudolf Marcel; Dumont, Elisabeth; Flumini, Dandolo; Fuchs, Hans Ulrich; Hauser, Helmut; Jaeger, Christian; Scheidegger, Stephan; Schönenberger-Deuel, Johanna; Lichtensteiger, Lukas; Luchsinger, Rolf H.; Weyland, Mathias,
2014.
Morphological control : a design principle for applications in space science.
Journal of the British Interplanetary Society.
67, pp. 305-313.
Available from: http://adsabs.harvard.edu/abs/2014JBIS...67..305F
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Hollenstein, Lukas; Lichtensteiger, Lukas; Stadelmann, Thilo; Amirian, Mohammadreza; Budde, Lukas; Meierhofer, Jürg; Füchslin, Rudolf Marcel; Friedli, Thomas,
2019.
Unsupervised learning and simulation for complexity management in business operations
.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
pp. 313-331.
Available from: https://doi.org/10.1007/978-3-030-11821-1_17
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Herzig, Ivo; Paysan, Pascal; Scheib, Stefan; Züst, Alexander; Schilling, Frank-Peter; Montoya, Javier; Amirian, Mohammadreza; Stadelmann, Thilo; Eggenberger Hotz, Peter; Füchslin, Rudolf Marcel; Lichtensteiger, Lukas,
2022.
Deep learning-based simultaneous multi-phase deformable image registration of sparse 4D-CBCT [poster].
In:
AAPM Annual Meeting, Washington, DC, USA, 10-14 July 2022.
American Association of Physicists in Medicine.
pp. e325-e326.
Available from: https://doi.org/10.1002/mp.15769
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Flumini, Dandolo; Lichtensteiger, Lukas,
2023.
Decentralized financing of Fairtrade producers using a blockchain-based solution [poster].
In:
Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-27494
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Lichtensteiger, Lukas; Flumini, Dandolo; Gisler, Luis; Molnár, Viktoria; Schaefer, Markus,
2023.
Space vote : make your presence count [poster].
In:
Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-27412