Wendong Ge
Merck & Co., Inc., Rahway, NJ, USA (United States)(US)Merck (Japan)(JP)
Publications by Year
Research Areas
Machine Learning in Healthcare, Topic Modeling, Epilepsy research and treatment, EEG and Brain-Computer Interfaces, Intensive Care Unit Cognitive Disorders
Most-Cited Works
- → Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation(2019)184 cited
- → Interrater Reliability of Experts in Identifying Interictal Epileptiform Discharges in Electroencephalograms(2019)134 cited
- → Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation(2023)68 cited
- An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM units.(2018)
- → Automated tracking of level of consciousness and delirium in critical illness using deep learning(2019)44 cited
- → CoVA: An Acuity Score for Outpatient Screening that Predicts Coronavirus Disease 2019 Prognosis(2020)44 cited
- → Automated Annotation of Epileptiform Burden and Its Association with Outcomes(2021)41 cited
- → Predicting neurological outcome in comatose patients after cardiac arrest with multiscale deep neural networks(2021)34 cited
- → Interrater Reliability of Expert Electroencephalographers Identifying Seizures and Rhythmic and Periodic Patterns in EEGs(2022)31 cited
- → Deep active learning for interictal ictal injury continuum EEG patterns(2020)23 cited