2025-11-18 07:14 |
[FZJ-2025-04535]
Contribution to a conference proceedings/Contribution to a book
Buffat, J. ; Pato, M. ; Alonso, K. ; et al
Retrieval of Sun-Induced Plant Fluorescence in the O$_2$-A Absorption Band from DESIS Imagery
2025Computer Vision – ECCV 2024 Workshops / Del Bue, Alessio (Editor) ; Cham : Springer Nature Switzerland, 2025, Chapter 6 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-031-91834-6=978-3-031-91835-3 ; doi:10.1007/978-3-031-91835-3 ECCV 2024 Workshops, ECCV, MilanoMilano, Italy, 29 Sep 2024 - 30 Sep 20242024-09-292024-09-30
Cham : Springer Nature Switzerland, Lecture Notes in Computer Science 15625, 81 - 100 (2025) [10.1007/978-3-031-91835-3_6]2025
We provide the first method allowing to retrieve spaceborne SIF maps at 30 m ground resolution with a strong correlation (r$^2$ = 0.6) to high-quality airborne estimates of sun-induced fluorescence (SIF) ̇SIF estimates can provide explanatory information for many tasks related to agricultural management and physiological studies. While SIF products from airborne platforms are accurate and spatially well resolved, the data acquisition of such products remains science-oriented and limited to temporally constrained campaigns [...]
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2025-11-17 13:53 |
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2025-11-17 13:53 |
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2025-11-17 12:36 |
[FZJ-2025-04528]
Preprint
Schiffer, C. ; Boztoprak, Z. ; Kropp, J.-O. ; et al
CytoNet: A Foundation Model for the Human Cerebral Cortex
To study how the human brain works, we need to explore the organization of the cerebral cortex and its detailed cellular architecture. We introduce CytoNet, a foundation model that encodes high-resolution microscopic image patches of the cerebral cortex into highly expressive feature representations, enabling comprehensive brain analyses. [...]
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2025-11-17 11:17 |
[FZJ-2025-04524]
Poster (Other)
Rajkumar, R. ; Ali, S. M. ; Zimmermann, M. ; et al
MINDset: A FAIR Infrastructure for Multimodal Neuroimaging Data
2025Tag der Forschungsdaten in NRW 2025, RWTH AachenRWTH Aachen, Germany, 18 Nov 2025 - 18 Nov 20252025-11-182025-11-18
[10.34734/FZJ-2025-04524]
MINDset is a research initiative focused on organizing and integrating multimodal data — including PET, MR, EEG, omics, and cognitive assessments — for precision psychiatry. It establishes a centralized, secure, and standardized database using the BIDS format and adheres to FAIR data principles [...]
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2025-11-17 10:44 |
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2025-11-17 10:30 |
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2025-11-17 10:04 |
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2025-11-17 09:54 |
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2025-11-17 09:52 |
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