
Timo Dickscheid
Articles
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1 week ago |
zenodo.org | Xiao Gui |Christian Schiffer |Timo Dickscheid |Forschungszentrum Jülich
Published May 9, 2025 | Version v2.14.18 Software Open BugfixFixed x-overlay-layer nifti, swcFixed ctrl+c string copy in viewerFixed parcellation visibility toggleFeatureRemove dependency on unpkg(experimental) keyframe support for nehuba viewerBehind the scenesunify colormap shader generation and accessdo not track perspective images with git-lfs Software: https://github.com/FZJ-INM1-BDA/siibra-explorer/tree/v2.14.18 (URL)
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1 month ago |
zenodo.org | Xiao Gui |Christian Schiffer |Timo Dickscheid |Ahmet Nihat Simsek
Published March 18, 2025 | Version v2.14.17 Software Open Documentationadded video tutorial on drag and drop niftifixed latest release script Software: https://github.com/FZJ-INM1-BDA/siibra-explorer/tree/v2.14.17 (URL)
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2 months ago |
zenodo.org | Xiao Gui |Christian Schiffer |Timo Dickscheid |Ahmet Nihat Simsek
Published March 17, 2025 | Version v2.14.16 Software Open Feature allow position of substrate to be customized (#1479) parse template meta.json endpoint, and use RBG color map when prompted drag&drop nifti auto clamp & auto set highest value as threshold max (experimental): added support to fetch .dzi transform (experimental): added support for zarr(2) as data feature Bugfix fix issue where repeated request for saneURL yield unstable behavior fix regression where oblique slicing in...
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Oct 23, 2024 |
zenodo.org | Christian Schiffer |Timo Dickscheid |Ahmet Nihat Simsek
Published October 23, 2024 | Version v2.14.14 Software Open Bugfixbigbrain download current view now properly parse bounding box Software: https://github.com/FZJ-INM1-BDA/siibra-explorer/tree/v2.14.14 (URL)
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Oct 5, 2024 |
zenodo.org | Christian Schiffer |Timo Dickscheid |Ahmet Nihat Simsek
Published October 5, 2024 | Version v2.14.12 Software Open Behind the scenesReverting point assignment panel behaviorsKnown regressionsLabelled assignment now does not work. This will be addressed in a future update. (The temporary regression allows for significant performant statistical assignment, as well more accurate label assignment.) Software: https://github.com/FZJ-INM1-BDA/siibra-explorer/tree/v2.14.12 (URL)
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