| An informed multitask diffusion adaptation approach to study tremor in Parkinson's disease S Monajemi, K Eftaxias, S Sanei, SH Ong IEEE Journal of Selected Topics in Signal Processing 10 (7), 1306-1314, 2016 | 25 | 2016 |
| Adaptive regularized diffusion adaptation over multitask networks S Monajemi, S Sanei, SH Ong, AH Sayed 2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015 | 19 | 2015 |
| Information reliability in complex multitask networks S Monajemi, S Sanei, SH Ong Future Generation Computer Systems 83, 485-495, 2018 | 17 | 2018 |
| Classification of HEp-2 cells using distributed dictionary learning S Monajemi, S Ensafi, S Lu, AA Kassim, CL Tan, S Sanei, SH Ong 2016 24th European Signal Processing Conference (EUSIPCO), 1163-1167, 2016 | 15 | 2016 |
| Advances in bacteria motility modelling via diffusion adaptation S Monajemi, S Sanei, SH Ong 2014 22nd European Signal Processing Conference (EUSIPCO), 2335-2339, 2014 | 15 | 2014 |
| Computational fluid dynamics in intracranial atherosclerosis-lessons from cardiology: a review of CFD in intracranial atherosclerosis D Pavlin-Premrl, SR Boopathy, A Nemes, M Mohammadzadeh, ... Journal of Stroke and Cerebrovascular Diseases 30 (10), 106009, 2021 | 13 | 2021 |
| Cooperative particle filtering for tracking ERP subcomponents from multichannel EEG S Monajemi, D Jarchi, SH Ong, S Sanei Entropy 19 (5), 199, 2017 | 13 | 2017 |
| A frequency domain MVDR beamformer for UWB microwave breast cancer imaging in dispersive mediums F Arabshahi, S Monajemi, H Sheikhzadeh, K Raahemifar, R Faraji-Dana IEEE International Symposium on Signal Processing and Information Technology …, 2013 | 10 | 2013 |
| Agan: An anatomy corrector conditional generative adversarial network M Engin, R Lange, A Nemes, S Monajemi, M Mohammadzadeh, CK Goh, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 6 | 2020 |
| Abstract WP272: Automatic Detection and Measurement of Atherosclerotic Plaques in Carotid Ultrasound Using Deep Learning LL Yeo, M Engin, R Lange, DK Tang, S Monajemi, M Mohammadzadeh, ... Stroke 51 (Suppl_1), AWP272-AWP272, 2020 | 2 | 2020 |
| Detecting Intraplaque Hemorrhage in Carotid Ultrasound Using Machine Learning LL Yeo, TM Tu, V Selvaraj, S Monajemi, M Mohammadzadeh, B Tan, ... International Stroke Conference 2019 50, 2019 | 2* | 2019 |
| Cooperative learning for biomedical signal processing and recognition S Sanei, O Geman, S Monajemi, K Eftaxias, D Jarchi 2017 E-Health and Bioengineering Conference (EHB), 687-692, 2017 | 2 | 2017 |
| Dictionary learning applications for hep-2 cell classification S Monajemi, S Ensafi, S Lu, AA Kassim, CL Tan, S Sanei, SH Ong Signal Processing and Machine Learning for Biomedical Big Data, 369-380, 2018 | 1 | 2018 |
| Abstract WP137: A CT Perfusion Based Computational Modeling for Improved Risk Stratification of Haemodynamically Significant ICAD S Boopathy, C Soren, A Nemes, D Pavlin-Premrl, M Mohammadzadeh, ... Stroke 55 (Suppl_1), AWP137-AWP137, 2024 | | 2024 |
| Methods and systems for risk assessment of ischemic cerebrovascular events S Monajemi, M Mohammadzadeh US Patent App. 17/795,696, 2023 | | 2023 |
| Using CT Perfusion To Measure Territory Volumes In Intracranial Atherosclerosis D Pavlin-Premrl, S Christensen, S Boopathy, A Nemes, V Thijs, ... Stroke 53 (Suppl_1), A120-A120, 2022 | | 2022 |
| Validation of Computational Fluid Dynamics Against PC-MRI Measurements of Blood Flow in Healthy Intracranial Arteries: On the Threshold to Clinical Utility for Stroke Prediction. LL Yeo, SR Boopathy, A Nemes, M Engin, R Lange, M Mohammadzadeh, ... STROKE 52, 2021 | | 2021 |
| Abstract P344: Validation of Computational Fluid Dynamics Against PC-MRI Measurements of Blood Flow in Healthy Intracranial Arteries: On the Threshold to Clinical Utility for … LL Yeo, S Boopathy, A Nemes, M Engin, R Lange, M Mohammadzadeh, ... Stroke 52 (Suppl_1), AP344-AP344, 2021 | | 2021 |
| Abstract P379: Automatic Segmentation of Atherosclerotic Plaques in Transverse Carotid Ultrasound Images Using Deep Learning LL Yeo, M Engin, R Lange, D Tang, A Nemes, S Monajemi, ... Stroke 52 (Suppl_1), AP379-AP379, 2021 | | 2021 |
| From Static Imaging to Hemodynamic Modelling: Validation of Intracranial Blood Flow Simulations Against Population-Based PC-MRI Studies LL Yeo, SR Boopathy, M Engin, R Lange, Y Cunli, DK Tang, ... STROKE 51, 2020 | | 2020 |
