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Juho Laitala
Juho Laitala
Project researcher, University of Turku
Verified email at utu.fi
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Cited by
Year
Robust ECG R-peak detection using LSTM
J Laitala, M Jiang, E Syrjälä, EK Naeini, A Airola, AM Rahmani, ND Dutt, ...
Proceedings of the 35th annual ACM symposium on applied computing, 1104-1111, 2020
622020
Robust ppg peak detection using dilated convolutional neural networks
K Kazemi, J Laitala, I Azimi, P Liljeberg, AM Rahmani
Sensors 22 (16), 6054, 2022
182022
Machine learning approach for preterm birth prediction using health records: systematic review
Z Sharifi-Heris, J Laitala, A Airola, AM Rahmani, M Bender
JMIR Medical Informatics 10 (4), e33875, 2022
132022
Using LSTM network to detect R-peaks from noisy ECG signals
J Laitala
Health Technology, 2020
32020
Domain randomization using synthetic electrocardiograms for training neural networks
M Kaisti, J Laitala, D Wong, A Airola
Artificial Intelligence in Medicine 143, 102583, 2023
22023
Training neural networks with synthetic electrocardiograms
M Kaisti, J Laitala, A Airola
arXiv preprint arXiv:2111.06175, 2021
22021
EHR-based machine learning modeling for preterm birth prediction: A systematic review
Z Sharifiheris, J Laitala, A Airola, AM Rahmani, M Bender
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Articles 1–7