Fast and efficient rejection of background waveforms in interictal EEG. - Elham Bagheri; Jing Jin 004; Justin Dauwels; Sydney Cash; M. Brandon Westover (ICASSP, 2016)

Classifier Cascade to Aid in Detection of Epileptiform Transients in Interictal EEG. - Elham Bagheri; Jing Jin 004; Justin Dauwels; Sydney Cash; M. Brandon Westover (ICASSP, 2018)

Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. - John Thomas; Jing Jin 004; Thangavel Prasanth; Elham Bagheri; Yuvaraj Rajamanickam; Justin Dauwels; Rahul Rathakrishnan; Jonathan J. Halford; Sydney S. Cash; M. Brandon Westover (Int. J. Neural Syst., 2020)

Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features. - Wei Yan Peh; John Thomas; Elham Bagheri; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; Yee-Leng Tan; Justin Dauwels (Int. J. Neural Syst., 2021)

Improving Aquaculture Systems using AI: Employing predictive models for Biomass Estimation on Sonar Images. - Mohan Kashyap Pargi; Elham Bagheri; Ricardo Shirota F; Khoo Eng Huat; Farshad Shishehchian; Nathalie Nathalie (ICMLA, 2022)

Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation. - Cynthia Lokker; Elham Bagheri; Wael Abdelkader; Rick Parrish; Muhammad Afzal 001; Tamara Navarro; Chris Cotoi; Federico Germini; Lori Linkins; R. Brian Haynes; Lingyang Chu; Alfonso Iorio (J. Biomed. Informatics, 2023)

Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images. - Elham Bagheri; Yalda Mohsenzadeh (CoRR, 2024)