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Abdolrahman Peimankar

Observed names: A. Peimankar, Peimankar, Abdolrahman
ORCID: 0000-0002-3180-4365
Observed ORCIDs: 0000-0002-3180-4365, 0000-0001-9779-9442
OpenAlex ID: A5086855150
A deep learning approach for real-time detection of atrial fibrillation
2018 · Rasmus S. Andersen, Abdolrahman Peimankar, et al. · Expert Systems with Applications · 404
DENS-ECG: A deep learning approach for ECG signal delineation
2020 · Abdolrahman Peimankar, Sadasivan Puthusserypady · Expert Systems with Applications · 175
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Evolutionary multi-objective fault diagnosis of power transformers
2017 · Abdolrahman Peimankar, Stephen John Weddell, et al. · Swarm and Evolutionary Computation · 82
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Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches
2022 · Masud Shah Jahan, Marjan Mansourvar, et al. · International Journal of Medical Informatics · 49
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Multi-objective ensemble forecasting with an application to power transformers
2018 · Abdolrahman Peimankar, Stephen John Weddell, et al. · Applied Soft Computing · 48
Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection
2022 · Devender Kumar, Abdolrahman Peimankar, et al. · Computer Methods and Programs in Biomedicine · 39
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An Ensemble of Deep Recurrent Neural Networks for P-wave Detection in Electrocardiogram
2019 · Abdolrahman Peimankar, Sadasivan Puthusserypady · IEEE International Conference on Acoustics Speech and Signal Processing · 26
A Machine Learning Approach for Walking Classification in Elderly People with Gait Disorders
2023 · Abdolrahman Peimankar, Trine Straarup Winther, et al. · Sensors · 20
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Ensemble classifier selection using multi-objective PSO for fault diagnosis of power transformers
2016 · Abdolrahman Peimankar, Stephen John Weddell, et al. · IEEE Congress on Evolutionary Computation (CEC) · 20
Identification of patients’ smoking status using an explainable AI approach: a Danish electronic health records case study
2024 · Ali Ebrahimi, Margrethe Bang Høstgaard Henriksen, et al. · BMC Medical Research Methodology · 19
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Ensemble Learning for Detection of Short Episodes of Atrial Fibrillation
2018 · Abdolrahman Peimankar, Sadasivan Puthusserypady · European Signal Processing Conference (EUSIPCO) · 16
xECG-Beats: an explainable deep transfer learning approach for ECG-based heartbeat classification
2024 · Abdolrahman Peimankar, Ali Ebrahimi, et al. · Network Modeling Analysis in Health Informatics and Bioinformatics · 15
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Automatic Detection of Cardiac Arrhythmias Using Ensemble Learning
2019 · Abdolrahman Peimankar, Mona Jafar Jajroodi, et al. · IEEE Region 10 Conference (TENCON) · 12
A collection of multiregistry data on patients at high risk of lung cancer—a Danish retrospective cohort study of nearly 40,000 patients
2023 · Margrethe Bang Henriksen, Torben Frøstrup Hansen, et al. · Translational Lung Cancer Research · 9
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AUD-DSS: a decision support system for early detection of patients with alcohol use disorder
2023 · Ali Ebrahimi, Uffe Kock Wiil, et al. · BMC Bioinformatics · 9
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Pulmonologists-level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach
2024 · Ricco Noel Hansen Flyckt, Louise Sjodsholm, et al. · Scientific Reports · 8
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The influence of corona near to the bushing of a transformer on partial discharge measurement with an acoustic emission sensor
2013 · Seyed Amir Mahmood Najafi, Abdolrahman Peimankar, et al. · IEEE Electrical Insulation Conference (EIC) · 8
Energy Expenditure Prediction from Accelerometry Data Using Long Short-Term Memory Recurrent Neural Networks
2024 · Martin Vibæk, Abdolrahman Peimankar, et al. · Sensors · 6
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An isolated hybrid renewable energy system: Ha'apai island group in the Kingdom of Tonga
2014 · Xueshu Cao, Andrew Lapthorn, et al. · 3
Prescription data and demographics: An explainable machine learning exploration of colorectal cancer risk factors based on data from Danish national registries
2025 · Abdolrahman Peimankar, Olav Sivertsen Garvik, et al. · Computer Methods and Programs in Biomedicine · 2
Transformers for Detection of Distressed Cardiac Patients with an ICD Based on Danish Text Messages
2023 · Julie Dittmann Weimar Andersen, Marcus Lomstein Jensen, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 2
Impact of laboratory biomarkers on ALS disease progression: a probabilistic causation approach
2022 · Meysam Ahangaran, Abdolrahman Peimankar, et al. · Network Modeling Analysis in Health Informatics and Bioinformatics · 2
Intelligent condition assessment of power transformers
2017 · Peimankar, Abdolrahman · UC Research Repository (University of Canterbury) · 2
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PhysioAgent: An Uncertainty-Driven Adaptive Agent for Physiological Comfort Recommendation
2026 · Yangyang Wang, Abdolrahman Peimankar, et al. · 1
SViT-ECG: Spectrogram Vision Transformer for Detection of Short-Term Atrial Fibrillation from ECG Signals
2025 · Amir Sorayaie Azar, Jamshid Bagherzadeh Mohasefi, et al. · 1
Works count: 42
Citation count: 980
H-index: 12
I10-index: 13
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