High frequency oscillations and spikes: separating real HFOs from false oscillations M Amiri, JM Lina, F Pizzo, J Gotman Clinical Neurophysiology 127 (1), 187-196, 2016 | 115 | 2016 |
Fine-tuning U-Net for ultrasound image segmentation: different layers, different outcomes M Amiri, R Brooks, H Rivaz IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67 …, 2020 | 103 | 2020 |
Two-stage ultrasound image segmentation using U-Net and test time augmentation M Amiri, R Brooks, B Behboodi, H Rivaz International journal of computer assisted radiology and surgery 15, 981-988, 2020 | 103 | 2020 |
Phase-amplitude coupling is elevated in deep sleep and in the onset zone of focal epileptic seizures M Amiri, B Frauscher, J Gotman Frontiers in human neuroscience 10, 387, 2016 | 98 | 2016 |
Detectability of fast ripples (> 250 Hz) on the scalp EEG: a proof-of-principle study with subdermal electrodes F Pizzo, B Frauscher, T Ferrari-Marinho, M Amiri, F Dubeau, J Gotman Brain topography 29, 358-367, 2016 | 53 | 2016 |
Interictal coupling of HFO s and slow oscillations predicts the seizure‐onset pattern in mesiotemporal lobe epilepsy M Amiri, B Frauscher, J Gotman Epilepsia 60 (6), 1160-1170, 2019 | 41 | 2019 |
Fine tuning u-net for ultrasound image segmentation: which layers? M Amiri, R Brooks, H Rivaz MICCAI Workshop on Domain Adaptation and Representation Transfer, 235-242, 2019 | 39 | 2019 |
When spikes are symmetric, ripples are not: bilateral spike and wave above 80 Hz in focal and generalized epilepsy F Pizzo, T Ferrari-Marinho, M Amiri, B Frauscher, F Dubeau, J Gotman Clinical Neurophysiology 127 (3), 1794-1802, 2016 | 35 | 2016 |
Differentiating epileptic from non-epileptic high frequency intracerebral EEG signals with measures of wavelet entropy AH Mooij, B Frauscher, M Amiri, WM Otte, J Gotman Clinical Neurophysiology 127 (12), 3529-3536, 2016 | 28 | 2016 |
Ultrasound scatterer density classification using convolutional neural networks and patch statistics AKZ Tehrani, M Amiri, IM Rosado-Mendez, TJ Hall, H Rivaz IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2021 | 20 | 2021 |
Breast lesion segmentation in ultrasound images with limited annotated data B Behboodi, M Amiri, R Brooks, H Rivaz 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1834-1837, 2020 | 14 | 2020 |
Real-time and high quality ultrasound elastography using convolutional neural network by incorporating analytic signal AKZ Tehrani, M Amiri, H Rivaz 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 12 | 2020 |
Comparison of different electrocardiogram signal power line denoising methods based on SNR improvement M Amiri, M Afzali, BV Vahdat 2012 19th Iranian Conference of Biomedical Engineering (ICBME), 159-162, 2012 | 9 | 2012 |
A pilot study on scatterer density classification of ultrasound images using deep neural networks AKZ Tehrani, M Amiri, IM Rosado-Mendez, TJ Hall, H Rivaz 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 8 | 2020 |
Segmentation of ultrasound images based on scatterer density using U-Net M Amiri, AKZ Tehrani, H Rivaz 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 6 | 2020 |
Phase-amplitude coupling is elevated in deep sleep and in the onset of focal epileptic seizures. Front Human Neurosci 10: 387 M Amiri, B Frauscher, J Gotman | 6 | 2016 |
High-frequency oscillations in the scalp eeg of intensive care unit patients with altered level of consciousness T Ferrari-Marinho, P Perucca, M Amiri, F Dubeau, J Gotman, LO Caboclo Journal of Clinical Neurophysiology 37 (3), 246-252, 2020 | 5 | 2020 |
Autoregressive modeling of the photoplethysmogram AC signal amplitude changes after flow-mediated dilation in healthy and diabetic subjects M Amiri, E Zahedi, F Behnia 2012 19th Iranian Conference of Biomedical Engineering (ICBME), 170-173, 2012 | 3 | 2012 |
Distinct interictal HFO coupling with different seizure onset patterns M Amiri, J Gotman EPILEPSIA 59, S24-S24, 2018 | 1 | 2018 |
Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics AKZ Tehrani, M Amiri, IM Rosado-Mendez, TJ Hall, H Rivaz arXiv preprint arXiv:2012.02738, 2020 | | 2020 |