2025-12-22 12:16 |
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2025-12-19 15:57 |
[FZJ-2025-05763]
Contribution to a conference proceedings
Schätzle, F. ; Falquez, C. ; Ho, N. ; et al
Modeling Chiplet-to-Chiplet (C2C) Communication for Chiplet-based Co-Design
2025ISC High Performance 2025 Research Paper Proceedings (40th International Conference), HamburgHamburg, Germany, 10 Jun 2025 - 13 Jun 20252025-06-102025-06-13
IEEE 11 pp. (2025) [10.23919/ISC.2025.11018303]2025
Chiplet-based processor design, which combines small dies called chiplets to form a larger chip, enables scalable designs at economical costs. This trend has received high attention such that standards for chiplet design have rapidly established, including packaging, protocols, and Chiplet-to-Chiplet (C2C) interfaces. [...]
OpenAccess: PDF; External link: Fulltext
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2025-12-19 10:03 |
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2025-12-19 09:53 |
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2025-12-19 09:49 |
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2025-12-19 09:20 |
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2025-12-19 08:54 |
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2025-12-19 08:49 |
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2025-12-19 07:29 |
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2025-12-18 16:43 |
[FZJ-2025-05660]
Contribution to a conference proceedings/Contribution to a book
Paul, R. D. ; Seiffarth, J. ; Rügamer, D. ; et al
How To Make Your Cell Tracker Say "I dunno!"
2025Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) International Conference on Computer Vision, ICCV 2025, HonoluluHonolulu, USA, 19 Oct 2025 - 23 Oct 20252025-10-192025-10-23
6914-6923 (2025)2025
Cell tracking is a key computational task in live-cell microscopy, but fully automated analysis of high-throughput imaging requires reliable and, thus, uncertainty-aware data analysis tools, as the amount of data recorded within a single experiment exceeds what humans are able to overlook. We here propose and benchmark various methods to reason about and quantify uncertainty in linear assignment-based cell tracking algorithms. [...]
External link: Fulltext
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