T. O'Brien
IEEE Reviews in Biomedical Engineering · with Kuhlmann · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom T. O'Brien trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Mehmet Akin (in Civil and Structural Engineering)
Papers from T. O'Brien's perspective
Ordered by how strongly the researchers T. O'Brien trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Learning
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
- Opportunities in Machine Learning for Healthcare
- Focal Onset Seizure Prediction Using Convolutional Networks (IEEE Transactions on Biomedical Engineering)
- Seizure prediction: the long and winding road. (Brain : a journal of neurology)
- Deep learning for computational biology
- Intuition: a social cognitive neuroscience approach. (Psychological bulletin)
- Machine learning applications in cancer prognosis and prediction
- Machines that learn to segment images: a crucial technology for connectomics.
- Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients
Their papers
- Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review (2020) — 323 citations