Automated analysis of cortical volume loss predicts seizure outcomes after frontal lobectomy-Reference-Cited by-同舟云学术

Automated analysis of cortical volume loss predicts seizure outcomes after frontal lobectomy

Published:2021-03-23 Issue:5 Volume:62 Page:1074-1084
ISSN:0013-9580
Container-title:Epilepsia
language:en
Short-container-title:Epilepsia

Author:

Whiting Alexander C.¹^ORCID,Morita‐Sherman Marcia¹,Li Manshi²,Vegh Deborah¹,Machado de Campos Brunno³,Cendes Fernando³^ORCID,Wang Xiaofeng²,Bingaman William¹,Jehi Lara E.¹^ORCID

Affiliation:

1. Cleveland Clinic Epilepsy Center Cleveland Clinic Foundation Cleveland OH USA

2. Department of Quantitative Health Sciences Cleveland Clinic Foundation Cleveland OH USA

3. Department of Neurology University of Campinas UNICAMP Campinas Brazil

Funder

National Institute of Neurological Disorders and Stroke

Publisher

Wiley

Subject

Neurology (clinical),Neurology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/epi.16877

Reference39 articles.

1. Surgical outcome and prognostic factors of frontal lobe epilepsy surgery

2. Long-term seizure outcome in frontal lobe epilepsy surgery

3. Improved outcomes with earlier surgery for intractable frontal lobe epilepsy

4. Neuropsychological outcome following frontal lobectomy for pharmacoresistant epilepsy in adults

5. Long-term seizure outcomes following epilepsy surgery: a systematic review and meta-analysis

Cited by 10 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. The predicative value of early quantitative electroencephalograph in epilepsy after severe traumatic brain injury in children;Frontiers in Pediatrics;2024-08-15

2. The new era of arti fi cial intelligence in neuroradiology: current research and promising tools;ARQ NEURO-PSIQUIAT;2024

3. The new era of artificial intelligence in neuroradiology: current research and promising tools;Arquivos de Neuro-Psiquiatria;2024-04-02

4. Predictive models of epilepsy outcomes;Current Opinion in Neurology;2024-01-15

5. FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval;Artificial Intelligence in Medicine;2023-09