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Saeed Montazeri
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Year
The simple chaotic model of passive dynamic walking
S Montazeri Moghadam, M Sadeghi Talarposhti, A Niaty, F Towhidkhah, ...
Nonlinear Dynamics 93, 1183-1199, 2018
422018
Building an open source classifier for the neonatal EEG background: a systematic feature-based approach from expert scoring to clinical visualization
S Montazeri, E Pinchefsky, I Tse, V Marchi, J Kohonen, M Kauppila, ...
Frontiers in human neuroscience 15, 675154, 2021
242021
Nonlinear analysis and synthesis of video images using deep dynamic bottleneck neural networks for face recognition
SM Moghadam, SA Seyyedsalehi
Neural Networks 105, 304-315, 2018
222018
An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation
SM Moghadam, M Airaksinen, P Nevalainen, V Marchi, ...
The Lancet Digital Health 4 (12), e884-e892, 2022
202022
Real-time prediction of tumor motion using a dynamic neural network
M Mafi, S Montazeri Moghadam
Medical & Biological Engineering & Computing, 1-11, 2020
182020
Sleep State Trend (SST), a bedside measure of neonatal sleep state fluctuations based on single EEG channels
SM Moghadam, P Nevalainen, NJ Stevenson, S Vanhatalo
Clinical Neurophysiology 143, 75-83, 2022
102022
Ensemble learning using individual neonatal data for seizure detection
A Borovac, S Gudmundsson, G Thorvardsson, SM Moghadam, ...
IEEE Journal of Translational Engineering in Health and Medicine 10, 1-11, 2022
102022
Nonlinear Synthesis of Expression Variation Dynamics on Video Using Deep Dynamic Bottleneck Neural Networks
SM Moghadam, SA Seyyedsalehi, N Amini
2017 24th National and 2nd International Iranian Conference on Biomedical …, 2018
42018
Nonlinear analysis of video images using deep recurrent auto-associative neural networks for facial understanding
SM Moghadam, SA Seyyedsalehi
2017 3rd International Conference on Pattern Recognition and Image Analysis …, 2017
42017
Prognostic value of quantitative EEG in early hours of life for neonatal encephalopathy and neurodevelopmental outcomes
S Kota, S Kang, YL Liu, H Liu, S Montazeri, S Vanhatalo, LF Chalak
Pediatric research, 1-10, 2024
32024
Clinical outcome prediction with an automated EEG trend, Brain State of the Newborn, after perinatal asphyxia
S Montazeri, P Nevalainen, M Metsäranta, NJ Stevenson, S Vanhatalo
Clinical Neurophysiology 162, 68-76, 2024
32024
Impact of steganography on jpeg file size
M Rezaei, SM Moghadam
2019 27th Iranian Conference on Electrical Engineering (ICEE), 1869-1873, 2019
32019
Improving stabilization of passive walking using chaos
SM Moghadam, A Niaty, F Towhidkhah
2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st …, 2016
22016
Scramble and Transform: An Image Data Hiding Technique
M Rezaei, SM Moghaddam
2019 27th Iranian Conference on Electrical Engineering (ICEE), 1874-1878, 2019
12019
Quantitative EEG features during the first day correlate to clinical outcome in perinatal asphyxia
A Tuiskula, AS Pospelov, P Nevalainen, S Montazeri, M Metsäranta, ...
Pediatric Research, 1-7, 2024
2024
Corrigendum: Building an open source classifier for the neonatal EEG background: a systematic feature-based approach from expert scoring to clinical visualization
S Montazeri, E Pinchefsky, I Tse, V Marchi, J Kohonen, M Kauppila, ...
Frontiers in Human Neuroscience 18, 1417744, 2024
2024
Correction to Lancet Digit Health 2022; 4: e884–92
S Montazeri, M Airaksinen, P Nevalainen
2024
Advancing Automated EEG Analysis for Neonatal Intensive Care: From Engineering to Bedside Solutions
S Montazeri Moghadam
Helsingin yliopisto, 2024
2024
Neurodevelopmental Outcome Prediction with an Automated Assessment of EEG Background at 24 Hours in Neonatal Encephalopathy Treated with Therapeutic Hypothermia
M Lagacé, S Montazeri Moghadam, D Kamino, E Mamak, LG Ly, C Hahn, ...
Available at SSRN 4746949, 2020
2020
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Articles 1–19