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6,191 to 6,200 of 11,415 Results
pyradiomics-readthedocs-io-en-v3.0.pdf
pyradiomics-readthedocs-io-en-v3.0.pdf
Jun 17, 2021 - Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer
Adobe PDF - 698.2 KB - MD5: 96caab3d076197abf1d4fed7b59ed726
Documentation and definition of the radiomic features.
Radiomic_features_1_PET_100.tab
Jun 17, 2021 - Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer
Tabular Data - 260.6 KB - 835 Variables, 17 Observations - UNF:6:u9k7N4c1a+65aj/6gwoGig==
Radiomic features extracted from PET_100% (free breathing) reconstructions.
Radiomic_features_2_PET_40.tab
Jun 17, 2021 - Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer
Tabular Data - 262.2 KB - 835 Variables, 17 Observations - UNF:6:+1gjRyeC/mcncqr5KAevXw==
Radiomic features extracted from PET_40% (end-expiration) reconstructions.
Radiomic_features_3_PET_MoCo.tab
Jun 17, 2021 - Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer
Tabular Data - 259.6 KB - 835 Variables, 17 Observations - UNF:6:wtnx+YUrK05SvewzUcq8MA==
Radiomic features extracted from PET_MoCo (MRI-based motion corrected) reconstructions.
Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature
Jun 16, 2021
Ancin-Murguzur, Francisco Javier; Hausner, Vera Helene, 2021, "Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature", https://doi.org/10.18710/PTQ8X7, DataverseNO, V1
Complex interactions among multiple abiotic and biotic drivers result in rapid changes in ecosystems worldwide. Predicting how specific interactions can cause ripple effects potentially resulting in abrupt shifts in ecosystems is of high relevance to policymakers, but difficult to quantify using data from singular cases. We present causalizeR (http...
00_README.txt
Jun 16, 2021 - Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature
Plain Text - 3.3 KB - MD5: cac1754480e5840e440aaf6d7d5517e8
causalizeR.zip
Jun 16, 2021 - Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature
ZIP Archive - 36.3 KB - MD5: 9d407764767d45c3c46a424615cef204
Snapshot of the causalizeR package at the moment of publication
Data.zip
Jun 16, 2021 - Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature
ZIP Archive - 8.3 MB - MD5: 37dca9e41ce7bbc9f5dd53bc4ee2eca6
bibliographic files in .bib format as downloaded from Scopus
Script.R
Jun 16, 2021 - Replication Data for: causalizeR: A text mining algorithm to identify causal relationships in scientific literature
R Syntax - 4.4 KB - MD5: 7a953dc67edabc01168a0628e4bf12ac
Script to process the bibliographic data with the causalizeR package
eye1.zip
Jun 11, 2021 - Replication Data for: Super-resolution imaging of Schlemm’s canal using 3D-SIM
ZIP Archive - 3.1 GB - MD5: 4ee50b3023adf4af1a65da4cd46549ed
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