Machine learning of multimodal MRI to predict the development of epileptic seizures after traumatic brain injuryDownload PDF

Apr 17, 2019 (edited Jul 04, 2019)MIDL 2019 Conference Abstract SubmissionReaders: Everyone
  • Keywords: Machine learning, Random Forest, Support Vector Machine, FreeSurfer, Multi-Scale Entropy, Magnetic Resonance Imaging, Post-traumatic epilepsy.
  • TL;DR: Machine learning for the detection of MRI changes associated to seizure occurrence in Traumatic Brain Injury patients.
  • Abstract: One common consequence of Traumatic Brain Injury (TBI) that causes significant disability amongst patient populations is post-traumatic epilepsy (PTE). In this work, we use machine learning approaches to reveal subtle brain changes in Magnetic Resonance Images (MRIs) which may serve as PTE biomarkers.
  • Code Of Conduct: I have read and accept the code of conduct.
  • Remove If Rejected: Remove submission from public view if paper is rejected.
3 Replies