Personal profile
Keywords
- Machine Learning
- Health Data Science
- Deep Learning
- Medical AI
- Biomedical Signal Processing
- Evolutionary Computation
- Anomaly Detection
- Machine Learning
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- 1 Similar Researchers
Collaborations and top research areas from the last five years
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Explainable deep learning based techniques for ECG-Based heart disease classification: A systematic literature review and future direction
Manimaran, G., Peimankar, A., Puthusserypady, S., Momeni, M., Asyari, R. A. I., Jahan, M. S., Moll, J., Wiil, U. K. & Ebrahimi, A., Dec 2025, In: Computers in Biology and Medicine. 199, 19 p., 111324.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile7 Downloads (Pure) -
Non-Invasive Camera-Based Cardiac Output Monitoring via Facial Photoplethysmography: Advancing Hemodynamic Assessment in Critical Care
Momeni, M., Wuthe, S., Molmer, M. B., Svendsen, E. L., Brabrand, M., Peimankar, A., Biesenbach, P. & Teichmann, D., Jul 2025, 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, Vol. 2025. 7 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Patient Satisfaction with Digital Health Solutions for Depression Treatment: A Scoping Review
Werenberg Sigvardt, M., Friis Lindegaard, R., Wiil, U. K., Peimankar, A. & Ebrahimi, A., 15. May 2025, Intelligent Health Systems – From Technology to Data and Knowledge: Proceedings of MIE 2025. Andrikopoulou, E., Gallos, P., N. Arvanitis, T., Austin, R., Benis, A., Cornet, R., Chatzistergos, P., Dejaco, A., Dusseljee-Peute, L., Mohasseb, A., Natsiavas, P., Nakkas, H. & Scott, P. (eds.). IOS Press, Vol. 327. p. 1145-1149 (Studies in Health Technology and Informatics, Vol. 327).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile43 Downloads (Pure) -
Prescription data and demographics: An explainable machine learning exploration of colorectal cancer risk factors based on data from Danish national registries
Peimankar, A., Garvik, O. S., Nørgård, B. M., Søndergaard, J., Jarbøl, D. E., Wehberg, S., Sheikh, S. P., Ebrahimi, A., Wiil, U. K. & Iachina, M., Jul 2025, In: Computer Methods and Programs in Biomedicine. 267, 12 p., 108774.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile9 Downloads (Pure) -
SViT-ECG: Spectrogram Vision Transformer for Detection of Short-Term Atrial Fibrillation from ECG Signals
Sorayaie Azar, A., Mohasefi, J. B., Teichmann, D., Puthusserypady, S., Wiil, U. K. & Peimankar, A., 1. Jul 2025, 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025). IEEE, Vol. 2025. 7 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile1 Downloads (Pure)
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Healthcare Technology Letters (Journal)
Peimankar, A. (Peer reviewer)
2020 → …Activity: Editorial work and peer review › Peer review of manuscripts › Research
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IEEE Journal of Biomedical and Health Informatics (Journal)
Peimankar, A. (Peer reviewer)
2020 → …Activity: Editorial work and peer review › Peer review of manuscripts › Research
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IEEE Transactions on Automation Science and Engineering (Journal)
Peimankar, A. (Peer reviewer)
2020 → …Activity: Editorial work and peer review › Peer review of manuscripts › Research
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Network Modeling Analysis in Health Informatics and Bioinformatics (Journal)
Peimankar, A. (Peer reviewer)
2020 → …Activity: Editorial work and peer review › Peer review of manuscripts › Research
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Sustainability (Journal)
Peimankar, A. (Peer reviewer)
2020 → …Activity: Editorial work and peer review › Peer review of manuscripts › Research
Teaching & Supervision
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Activities classification using machine learning
Peimankar, A. 01/02/2021 → 01/06/2021
Course: Teaching and supervision › Supervision
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How can machine learning help diagnose feet?
Peimankar, A. 01/02/2021 → 01/06/2021
Course: Teaching and supervision › Supervision
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Prediction of energy expenditure in children and adolescents
Peimankar, A. 01/09/2020 → 01/06/2021
Course: Teaching and supervision › Supervision
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SmartRhythm - Can computers diagnose cardiac diseases?
Peimankar, A. 01/02/2021 → 01/06/2021
Course: Teaching and supervision › Supervision
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Applied Machine Learning
Peimankar, A. 01/02/2021 → 30/05/2021
Course: Teaching and supervision › Teaching