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2020 – today
- 2024
[i1]Elham Bagheri, Yalda Mohsenzadeh:
Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images. CoRR abs/2410.15235 (2024)- 2023
- [j3]Cynthia Lokker
, Elham Bagheri, Wael Abdelkader, Rick Parrish, Muhammad Afzal, Tamara Navarro, Chris Cotoi, Federico Germini, Lori Linkins, R. Brian Haynes, Lingyang Chu, Alfonso Iorio:
Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation. J. Biomed. Informatics 142: 104384 (2023) - 2022
- [c3]Mohan Kashyap Pargi, Elham Bagheri, Ricardo Shirota F, Khoo Eng Huat, Farshad Shishehchian, Nathalie Nathalie:
Improving Aquaculture Systems using AI: Employing predictive models for Biomass Estimation on Sonar Images. ICMLA 2022: 1629-1636 - 2021
- [j2]Wei Yan Peh, John Thomas, Elham Bagheri, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, Justin Dauwels:
Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features. Int. J. Neural Syst. 31(6): 2150016:1-2150016:16 (2021) - 2020
- [j1]John Thomas, Jing Jin, Thangavel Prasanth, Elham Bagheri, Yuvaraj Rajamanickam, Justin Dauwels, Rahul Rathakrishnan, Jonathan J. Halford, Sydney S. Cash, M. Brandon Westover:
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. Int. J. Neural Syst. 30(11): 2050030:1-2050030:17 (2020)
2010 – 2019
- 2018
- [c2]Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover:
Classifier Cascade to Aid in Detection of Epileptiform Transients in Interictal EEG. ICASSP 2018: 970-974 - 2016
- [c1]Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover:
Fast and efficient rejection of background waveforms in interictal EEG. ICASSP 2016: 744-748
Coauthor Index
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