Connection

Leonardo Bonilha to Machine Learning

This is a "connection" page, showing publications Leonardo Bonilha has written about Machine Learning.
Connection Strength

2.369
  1. Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study. Ann Neurol. 2020 11; 88(5):970-983.
    View in: PubMed
    Score: 0.629
  2. Personalized connectome fingerprints: Their importance in cognition from childhood to adult years. Neuroimage. 2020 11 01; 221:117122.
    View in: PubMed
    Score: 0.620
  3. Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning. Brain Lang. 2019 06; 193:45-57.
    View in: PubMed
    Score: 0.510
  4. Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data. Neuroimage. 2015 Sep; 118:219-30.
    View in: PubMed
    Score: 0.436
  5. Using machine learning to classify temporal lobe epilepsy based on diffusion MRI. Brain Behav. 2017 10; 7(10):e00801.
    View in: PubMed
    Score: 0.127
  6. Seizure forecasting using machine learning models trained by seizure diaries. Physiol Meas. 2022 12 14; 43(12).
    View in: PubMed
    Score: 0.046
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.