Liang Zhu

Sep 4, 2024 | mdpi.com | Ying Hu |Ben Liu |Jianyong Li |Liang Zhu

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Jul 19, 2024 | digitalcommons.library.tmc.edu | Ryan Nguyen |Matthew D. Smyth |Liang Zhu |Ludovic P Pao

AbstractEpilepsy affects 1 in 150 children under the age of 10 and is the most common chronic pediatric neurological condition; poor seizure control can irreversibly disrupt normal brain development. The present study compared the ability of different machine learning algorithms trained with resting-state functional MRI (rfMRI) latency data to detect epilepsy. Preoperative rfMRI and anatomical MRI scans were obtained for 63 patients with epilepsy and 259 healthy controls.

Jul 19, 2024 | digitalcommons.library.tmc.edu | Ryan Nguyen |Matthew D. Smyth |Liang Zhu |Ludovic P Pao

AbstractEpilepsy affects 1 in 150 children under the age of 10 and is the most common chronic pediatric neurological condition; poor seizure control can irreversibly disrupt normal brain development. The present study compared the ability of different machine learning algorithms trained with resting-state functional MRI (rfMRI) latency data to detect epilepsy. Preoperative rfMRI and anatomical MRI scans were obtained for 63 patients with epilepsy and 259 healthy controls.

Jul 18, 2024 | preprints.org | Ying Hu |Ben Liu |Jianyong Li |Liang Zhu

PreprintArticleVersion 1This version is not peer-reviewedVersion 1: Received: 18 July 2024 / Approved: 18 July 2024 / Online: 18 July 2024 (10:07:33 CEST)Hu, Y.; Liu, B.; Li, J.; Zhu, L.; Han, J.; Cai, Z.; Zhang, J. Network Traffic Prediction in Edge-Cloud Continuum Network for Multiple Network Service Providers. Preprints 2024, 2024071484. https://doi.org/10.20944/preprints202407.1484.v1Hu, Y.; Liu, B.; Li, J.; Zhu, L.; Han, J.; Cai, Z.; Zhang, J.

Jul 15, 2024 | cell.com | Xiaobing Wang |Xin Wu |Binghe Tan |Liang Zhu

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