pyAFQ: 在Python中的自动纤维量化...
项目描述
pyAFQ
在Python中的自动纤维量化...
有关详细信息，请参阅 文档
有关结果分析的进一步分析，请参阅 AFQ-Insight
引用 pyAFQ
如果您在科学出版物中使用 pyAFQ，请引用我们的论文
Kruper, J.，Yeatman, J. D.，Richie-Halford, A.，Bloom, D.，Grotheer, M.，Caffarra, S.，Kiar, G.，Karipidis, I. I.，Roy, E.，Chandio, B. Q.，Garyfallidis, E.，& Rokem, A. 评估人类大脑白质束测量学的可靠性. DOI:10.52294/e6198273-b8e3-4b63-babb-6e6b0da10669
@article {Kruper2021-xb,
title = "Evaluating the reliability of human brain white matter
tractometry",
author = "Kruper, John and Yeatman, Jason D and Richie-Halford, Adam and
Bloom, David and Grotheer, Mareike and Caffarra, Sendy and Kiar,
Gregory and Karipidis, Iliana I and Roy, Ethan and Chandio,
Bramsh Q and Garyfallidis, Eleftherios and Rokem, Ariel",
journal = "Apert Neuro",
publisher = "Organization for Human Brain Mapping",
volume = 1,
number = 1,
month = nov,
year = 2021,
doi = 10.52294/e6198273-b8e3-4b63-babb-6e6b0da10669,
}
下载文件
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源分布
pyafq-1.3.3.tar.gz (1.5 MB 查看哈希值)
构建分布
pyAFQ-1.3.3-py3-none-any.whl (296.2 kB 查看哈希值)
关闭
pyafq-1.3.3.tar.gz的哈希值
| 算法 | 哈希摘要 | |
|---|---|---|
| SHA256 | 7c198b47ec6c270b3ee99775cb46cf2e4db6d0dd2e7fedeb141ea8efb1a547ae |
|
| MD5 | 1123d6717a88800bc922b72d923d0805 |
|
| BLAKE2b-256 | 07b53360c6038ad79aa23c998445772d7e892ca6eb3e86872c5d6a29ba71b773 |
关闭
pyAFQ-1.3.3-py3-none-any.whl的哈希值
| 算法 | 哈希摘要 | |
|---|---|---|
| SHA256 | 1097e6a94c27f0fbb2cfab56afca6297e0414f37e5bbdb996f05fe84abf7f583 |
|
| MD5 | 5b07080fb167a9945864a1e51746c871 |
|
| BLAKE2b-256 | 9c135e19ffeba505ea78ab0c6cf22aac6536e4591ddf8ef87afe154f0b9bb8d7 |