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Artificial Intelligence-enabled Histological Analysis in Pre-clinical Respiratory Disease Models: A Scoping Review
E. Kuhar, J. Park, F. Jahandideh, M. Komeili, A. Sadeknury, N. Kang, P. Karunamurthy, M.R. Zarei,
A.H. Ebrahimi, S.E. Gill, P.C. Liaw, D.A. Fergusson, D.J. Stewart, A. Mer, M.M. Lalu
European Respiratory Review, 2026; 35(180):250243
DOI
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High-Performance and Configurable SW/HW Co-Design of Biologically Plausible Neural Networks
A.H. Ebrahimi, H. Vafaei, M. Asghari, A. Sadr, D. Rahmati
ACM Transactions on Reconfigurable Technology and Systems (TRETS), 2026 (in press)
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Text-Mining Based Feature Selection for Anticancer Drug Response Prediction
G. Wu, A. Zaker, A.H. Ebrahimi, S. Tripathi, A. Mer
Bioinformatics Advances, 2024; 4(1):vbae047
DOI
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OmicSieve: A General Omics Framework for Compact Component Embeddings
A.H. Ebrahimi, R. Afiz, A. Mer
2026 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2026) (in press)
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From Data Annotation to AI Prediction: Streamlining Histopathology Analysis in Acute Respiratory Distress Syndrome
A.H. Ebrahimi, M.R. Zarei, E. Kuhar, P. Karunamurthy,
K. Pillagawa, F. Jahandideh, M. Komeili, M. Lalu, A. Mer
Proceedings of the 38th Canadian Conference on Artificial Intelligence (Canadian AI 2025)
DOI
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A New Approach for Minimum Dominating Set Problem
S. Alipour, A.H. Ebrahimi
ACM CIKM, 2024
Read more
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Estimating Stochastic Model Parameters Using Residual Neural Networks
A.H. Ebrahimi, H. Vafaei, D. Rahmati
NIC, 2022
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