Lateralizing Value of Artificial Intelligence-Based Segmentation Software in MRI-Negative Focal Epilepsy
AI-based brain segmentation software can be helpful to decide the laterality of non-lesional FLE especially with longer duration of disease.
Authors
- Jangsup Moon (ORCID: https://orcid.org/0000-0003-1282-4528)
- Keun‐Hwa Jung (ORCID: https://orcid.org/0000-0003-1433-8005)
- Kyung‐Il Park (ORCID: https://orcid.org/0000-0001-8064-6749)
- Hyoshin Son (ORCID: https://orcid.org/0000-0001-6643-3712)
- Sungeun Hwang (ORCID: https://orcid.org/0000-0003-0813-1315)
- Kon Chu (ORCID: https://orcid.org/0000-0001-5863-0302)
- Soon‐Tae Lee (ORCID: https://orcid.org/0000-0003-4767-7564)
- Sang Kun Lee (ORCID: https://orcid.org/0000-0003-1908-0699)
- Ki-Young Jung
Institutions
- Ewha Womans University (KR)
- Seoul National University (KR)
- New Generation University College (ET)
- Seoul National University Hospital (KR)
- Eunpyeong Hospital (KR)
- St. Mary’s Hospital (ZA)
Publication Details
- Journal
- Journal of Epilepsy Research
- Published
- 2024-12-10
- DOI
- https://doi.org/10.14581/jer.24011
- Citations
- 2
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.77
Funders
- Seoul National University
- Ministry of Health and Welfare
- Korea Health Industry Development Institute
- Seoul National University Hospital