most citedIntegrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy

102 citations · 107 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2022

Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology

Teja Gupta, Neeraj Wagh, Samarth Rawal +3

Identifying abnormal patterns in electroencephalography (EEG) remains the cornerstone of diagnosing several neurological diseases. The current clinical EEG review process relies he…

eess.SP2022★ 4 cited

Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts

Neeraj Wagh, Jionghao Wei, Samarth Rawal +2

The recent availability of large datasets in bio-medicine has inspired the development of representation learning methods for multiple healthcare applications. Despite advances in…

q-bio.NC2018★ 102 cited

Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy

Yogatheesan Varatharajah, Brent Berry, Jan Cimbalnik +6

An ability to map seizure-generating brain tissue, i.e., the seizure onset zone (SOZ), without recording actual seizures could reduce the duration of invasive EEG monitoring for pa…

cs.AI2018★ 1 cited

A Contextual-bandit-based Approach for Informed Decision-making in Clinical Trials

Yogatheesan Varatharajah, Brent Berry, Sanmi Koyejo +1

Clinical trials involving multiple treatments utilize randomization of the treatment assignments to enable the evaluation of treatment efficacies in an unbiased manner. Such evalua…

q-bio.NC2018

Ripple oscillations in the left temporal neocortex are associated with impaired verbal episodic memory encoding

Zachary J. Waldman, Liliana Camarillo-Rodriguez, Inna Chervenova +24

Background: We sought to determine if ripple oscillations (80-120Hz), detected in intracranial EEG (iEEG) recordings of epilepsy patients, correlate with an enhancement or disrupti…