Pediatric TSC-Related Epilepsy Classification from Clinical MR Images Using Quantum Neural Network-Reference-Cited by-同舟云学术

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Pediatric TSC-Related Epilepsy Classification from Clinical MR Images Using Quantum Neural Network

Published:2024-05-27 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Lin Ling¹,Zhou Yihang²,Hu Zhanqi³,Jiang Dian⁴,Liu Congcong¹,Zhou Shuo¹,Zhu Yanjie¹,Liao Jianxiang³,Liang Dong¹,Zheng Hairong¹,Wang Haifeng¹

Affiliation:

1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Paul C. Lauterbur Research Center for Biomedical Imaging,Shenzhen,China

2. University of Chinese Academy of Sciences,Beijing,China

3. Shenzhen Children’s Hospital,Department of Neurology,Shenzhen,China

4. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Center for Medical AI,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635849.pdf?arnumber=10635849

Reference15 articles.

1. Tuberous Sclerosis Complex: A Review

2. Predicting Drug Treatment Outcomes in Children with Tuberous Sclerosis Complex–Related Epilepsy: A Clinical Radiomics Study

3. Tuberous sclerosis: a review of the past, present, and future

4. Recognizing Pediatric Tuberous Sclerosis Complex Based on Multi-Contrast MRI and Deep Weighted Fusion Network

5. Machine learning and statistic analysis to predict drug treatment outcome in pediatric epilepsy patients with tuberous sclerosis complex

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