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Scientific Data|February 25, 2026
The Harvard-Emory ECG DatabaseZuzana Koscova, Qiao Li, Chad Robichaux, et al.Resuscitation|October 26, 2021
Predicting neurological outcome in comatose patients after cardiac arrest with multiscale deep neural networksWei-Long Zheng, Edilberto Amorim, Jin Jing, et al.NPJ Digital Medicine|July 3, 2026
BCGNet: an AI model trained on 600 K hours of sleep data for a novel under-pillow contactless monitoring deviceShigeng Chen, Xuesong Chen, Weijun Huang, et al.Pulmonary Circulation|June 8, 2026
Artificial Intelligence-Enhanced Electrocardiogram for Longitudinal Evaluation of Right Ventricular Dysfunction After Acute Pulmonary Embolism: Rational and Design of CURES-CARE StudyFeiya Xu, Yanshuang Lyu, Zijing Li, et al.Epileptic Disorders : International Epilepsy Journal with Videotape|June 30, 2022
Measuring expertise in identifying interictal epileptiform dischargesNitish M Harid, Jin Jing, Jacob Hogan, et al.Journal of Neuroscience Methods|November 2, 2020
Deep active learning for Interictal Ictal Injury Continuum EEG patternsWendong Ge, Jin Jing, Sungtae An, et al.Neurology|March 6, 2023
Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG InterpretationJin Jing, Wendong Ge, Shenda Hong, et al.Neurology|December 2, 2022
Interrater Reliability of Expert Electroencephalographers Identifying Seizures and Rhythmic and Periodic Patterns in EEGsJin Jing, Wendong Ge, Aaron F Struck, et al.Pageof 7