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Mina Amiri
Mina Amiri
Montreal Neurological Institute, McGill University
Verified email at mail.mcgill.ca
Title
Cited by
Cited by
Year
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
1122016
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
942020
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
882016
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
872020
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
482016
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
392019
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
342016
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
302019
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
252016
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
152021
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
132020
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
122020
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
92012
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
72020
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
62020
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
62016
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
52020
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
32012
Distinct interictal HFO coupling with different seizure onset patterns
M Amiri, J Gotman
EPILEPSIA 59, S24-S24, 2018
12018
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
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