Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI-Reference-Cited by-同舟云学术

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Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI

Published:2021 Issue: Volume: Page:133-143
ISSN:0302-9743
Container-title:Computational Diffusion MRI
language:
Short-container-title:

Author:

Akbar Md Navid,Ruf Sebastian,La Rocca Marianna,Garner Rachael,Barisano Giuseppe,Cua Ruskin,Vespa Paul,Erdoğmuş Deniz,Duncan Dominique

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87615-9_12

Reference27 articles.

1. FSL lesion normalization. https://neuroimaging-core-docs.readthedocs.io/en/latest/pages/fsl-anat-normalization-lesion.html

2. Study design and protocol: the epilepsy bioinformatics study for anti-epileptogenic therapy (EpiBioS4Rx) clinical biomarker. Neurobiol. Disease 123, 110–114 (2019)

3. Akbar, M.N., La Rocca, M., Garner, R., Duncan, D., Erdoğmuş, D.: Prediction of epilepsy development in traumatic brain injury patients from diffusion weighted MRI. In: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments. PETRA 2020. Association for Computing Machinery, New York (2020). https://doi.org/10.1145/3389189.3397655

4. Brett, M., Leff, A.P., Rorden, C., Ashburner, J.: Spatial normalization of brain images with focal lesions using cost function masking. NeuroImage 14(2), 486–500 (2001)

5. Chiang, S., Levin, H.S., Wilde, E., Haneef, Z.: White matter structural connectivity changes correlate with epilepsy duration in temporal lobe epilepsy. Epilepsy Res. 120, 37–46 (2016)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data;Computerized Medical Imaging and Graphics;2024-07

2. Post Traumatic Seizure Classification with Missing Data using Multimodal Machine Learning on dMRI, EEG, and fMRI;2022-10-25

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